• 2024
• 2023
• 2022
• 2021
• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013
• 2012
• 2011
• 2010
• 2009
• 2008
• 2007
• 2006
• 2005
• 2004
• 2003
• 2002
• 2001
• 2000
• 1999
• 1998
• 1997
• 1996
• 1995
• 1994
• 1993
• 1992
• 1991
• 1990
• 1989
• 1988

2024

• Steinhorst, Phil; Duhme, Christof; Jiang, Xiaoyi; Vahrenhold, Jan. (2024). Recognizing Patterns in Productive Failure. In Battestilli, Lina; Rebelsky, Samuel; Shoop, Libby (Eds.): Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 , pp. 1293–1299. New York, NY: Association for Computing Machinery. doi: 10.1145/3626252.3630915.
• Xiao J, Zhong Y, Jia Y, Wang Y, Jiang X, & Wang S. (2024). A novel deep ensemble model for imbalanced credit scoring in internet finance. International Journal of Forecasting, 40(1), 348–372.
• Xiao J, Wen Z, Jiang X, Yu L, & Wang S. (2024). Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. Decision Support Systems, 177, 114090.
• Chen J, Pi D, Jiang X, Xu Y, Chen Y, & Wang X. (2024). Denosieformer: A transformer based approach for single-channel EEG artifact removal. IEEE Transactions on Instrumentation and Measurement, 73, 1–16.
• Eminaga o, Saad F, Tian Z, Wolffgang U, Karakiewicz P, Ouellet V, Azzi F, Spieker T, Helmke B, Graefen M, Jiang X, Xing L, Witt J, Trudel D, & Leyh-Bannurah SM. (2024). Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images. npj Imaging, 2, 6.
• Zhang Q, & Jiang X. (2024). Classification performance boosting for interpolation kernel machines by training set pruning using genetic algorithm. In M. Castrillon-Santana, M. De Marsico, A. Fred (Eds.): Prof. of ICPRAM , pp. 428–435. Rome: SciTePress - Science and and Technology Publications.
• Hegselmann S, Shen Z, Gierse F, Agrawal M, Sontag D, & Jiang X. (2024). A data-centric approach to generate faithful and high quality patient summaries with large language models. In Conference on Health, Inference, and Learning (CHIL). [accepted / in Press (not yet published)]

2023

• Dewi C, Chen RC, Yu H, & Jiang X. (2023). Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling. Journal of Ambient Intelligence and Humanized Computing, 14(7), 8135–8152.
• Nienkötter A, & Jiang X. (2023). Kernel-based generalized median computation for consensus learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5), 5872–5888.
• Hegselmann S, Buendia A, Lang H, Agrawal M, Jiang X, & Sontag D. (2023). TabLLM: Few-shot classification of tabular data with large language models. In N.A. (Ed.): Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS). 206. Aufl. , pp. 5549–5581. 2023: MLResearchPress.
• Tistarelli M, Dubey SR, Singh SK, Jiang X (Eds.). (2023). Computer Vision and Machine Intelligence. Cham, Switzerland: Springer Nature.
• Eilers F, & Jiang X. (2023). Building blocks for a complex-valued transformer architecture. In N/A (Ed.): Proc. of ICASSP , pp. 1–5. N/A: Wiley-IEEE Press.
• Xiao J, Tian Y, Jia Y, Jiang X, Yu L, & Wang S. (2023). Black-box attack-based security evaluation framework for credit card fraud detection models. INFORMS Journal on Computing, 35(5), 986–1001.
• Sandmann S, Richter S, Jiang X, & Varghese J. (2023). Reconstructing clonal evolution - a systematic evaluation of current bioinformatics approaches. International journal of environmental research and public health, 20, 5128.
• Dewi C, Chen RC, Zhuang YC, Jiang X, & Yu H. (2023). Recognizing road surface traffic signs based on Yolo models considering image flips. Big Data and Cognitive Computing, 7, 54.
• Zhang J, Liu CL, & Jiang X. (2023). Quadratic kernel learning for interpolation kernel machine based graph classification. In M. Vento, P. Foggia, D. Conte, V. Carletti (Eds.), Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR) (pp. 3–14). Cham, Switzerland: Springer.
• Zhang J, Liu CL, & Jiang X. (2023). Interpolation kernel machines: Reducing multiclass to binary. In N. Tsapatsoulis, et al. (Eds.): Proc. of Int. Conf. on Computer Analysis of Images and Patterns (CAIP) , pp. 174–184. Cham, Switzerland: Springer.
• Jiang X, & Nienkötter A. (2023). Generalized median computation for consensus learning: A brief survey . In N, Tsapatsoulis, et al. (Eds.): Proc. of Int. Conf. on Computer Analysis of Images and Patterns (CAIP) , pp. 120–130. Cham, Switzerland: Springer.
• Kuhlmann F, Rothaus K, Jiang X, Faatz H, Pauleikhoff D, & Gutfleisch M. (2023). 3D retinal vessel segmentation in OCTA volumes: Annotated dataset MORE3D and hybrid U-net with flattening transformation. In U. Köthe and C. Rother (Ed.): Proc. of DAGM GCPR , pp. 291–306. Heidelberg: Springer.
• Dewi C, Chen RC, Yu H, & Jiang X. (2023). XAI for image captioning using SHAP . Journal of Information Science and Engineering, 39, 711–724.

2022

• Dewi C, Chen RC, Jiang X, & Yu H. (2022). Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks. PeerJ Computer Science, 8, e943.
• Zhang J, Liu CL, & Jiang X. (2022). Interpolation kernel machine and indefinite kernel methods for graph classification. In Yacoubi M, Granger E, Yuen PC, Pal U, Vincent N (Eds.): Proc. of ICPRAI , pp. 467–479. Cham, Switzerland: Springer Nature.
• Elischberger F, Bamberg B, & Jiang X. (2022). Deep learning based detection of segregations for ultrasonic testing. IEEE Transactions on Instrumentation and Measurement, 71.
• Sandmann S, Richter S, Jiang X, & Varghese J. (2022). Exploring current challenges and perspectives for automatic reconstruction of clonal evolution. Cancer Genomics and Proteomics, 19, 194–204. doi: 10.21873/cgp.20314.
• Kuhlmann J, Rothaus K, Jiang X, Heimes-Bussmann B, Faatz H, Book M, & Pauleikhoff D. (2022). Axial stretching of vessels in the retinal vascular plexus with 3D OCT-Angiograph. Translational Vision Science & Technology, 11(2).
• Wang TQ, Jiang X, & Liu CL. (2022). Query pixel guided stroke extraction with model-based matching for offline handwritten Chinese characters. Pattern Recognition, 123, 108416.
• Cebollada S, Paya L, Jiang X, & Reinoso O. (2022). Development and use of a convolutional neural network for hierarchical appearance-based localization. Artificial Intelligence Review, 55(4), 2847–2874.
• Drees D, Eilers F, & Jiang X. (2022). Hierarchical random walker segmentation for large volumetric biomedical images. IEEE Transactions on Image Processing, 31, 4431–4446. doi: 10.1109/TIP.2022.3185551.
• Drees D, Eilers F, Bian A, & Jiang X. (2022). A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation. In Andres B, Bernard F, Cremers D, Frintrop S, Goldlücke B, Ihrke I (Eds.): Proc. of GCPR , pp. 166–181. Cham, Switzerland: Springer Nature.
• Dewi C, Chen RC, Jiang X, & Yu H. (2022). Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4. Multimedia Tools and Applications, 81(26), 37821–37845.
• Xu J, Zeng B, Egger J, Wang C, Smedby Ö, Jiang X, & Chen X. (2022). A review on AI-based medical image computing in head and neck surgery. Physics in Medicine and Biology, 67, 17TR01.
• Dubey A, Singh SK, & Jiang X. (2022). Leveraging CNN and transfer learning for classification of histopathology images. In Khare N, Tomar DS, Ahirwal MK, Semwal VB, Soni V (Eds.): Proc. of MIND , pp. 3–13. Cham, Switzerland: Springer Nature.
• Chen A, Wang S, Jiang X, Yan S, Bian A, Xu W, Zeng J, & Deng T. (2022). Optical aerosol sizing method without prior refractive index. Measurement, 204, 112072.
• Gupta S, Singh SK, & Jiang X. (2022). Leveraging tri-planar views and weighted average fusion technique to classify lung nodule malignancy. In Proc. of CVIP. [accepted / in Press (not yet published)]
• Dewi C, Chen RC, Chang CW, Wu SH, Jiang X, & Yu H. (2022). Eye aspect ratio for real-time drowsiness detection to improve driver safety. Electronics, 11(19), Article 3183. doi: 10.3390/electronics11193183.

2021

• Flint C, Cearns M, Opel N, Redlich R, Mehler DMA, Emden D, Winter NR, Leenings R, Eickhoff SB, Kircher T, Krug A, Nenadic I, Arolt V, Clark S, Baune BT, Jiang X, Dannlowski U, & Hahn T. (2021). Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 46, 1510–517. doi: 10.1038/s41386-021-01020-7.
• Bian A, Jiang X, Berh D, & Risse B. (2021). Resolving colliding larvae by fitting ASM to random walker-based pre-segmentations. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(3), 1184–1194.
• Nienkötter A, & Jiang X. (2021). Distance-preserving vector space embedding for consensus learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(2), 1244–1257.
• Xu L, Bai L, Jiang X, Tan M, Li C, & Luo B. (2021). Deep Rényi entropy graph kernel. Pattern Recognition, 111, 107668.
• Spiesshoefer J, Hegerfeld N, Gerdes M, Klemm S, Gorbachevski M, Radke R, Tuleta I, Passino C, Jiang X, Sciarrone S, Randerath W, Dreher M, Boentert M, & Giannoni A. (2021). Effects of central apneas on sympathovagal balance and hemodynamics at night: impact of underlying systolic heart failure. Sleep and Breathing, 25, 965–977.
• Kirschnick N, Drees D, Redder E, Erapaneedi R, Pereira da Graca A, Schäfers M, Jiang X, & Kiefer F. (2021). Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures. iScience, 24(6), 102650.
• Jiang X. (2021). Editorial: A wonderful venue for networking neuroscience and computational intelligence. International Journal of Neural Systems, 31(6), 2103005:1–2103005:2.
• Chen X, Li Y, Xu L, Sun Y, Politis C, & Jiang X. (2021). A real time image-guided reposition system for the loosed bone graft in orthognathic surgery. Computer Assisted Surgery, 26(1), 1–8.
• Welsing A, Nienkötter A, & Jiang X. (2021). Exponential weighted moving average of time series in arbitrary spaces with application to strings. In Joint IAPR Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), Milan, Italy , pp. 45–54.
• Leenings R, Winter NR, Plagwitz L, Holstein V, Ernsting J, Sarink K, Fisch L, Steenweg J, Kleine-Vennekate L, Gebker J, Emden D, Grotegerd D, Opel N, Risse B, Jiang X, Dannlowski U, & Hahn T. (2021). PHOTONAI-A Python API for rapid machine learning model development . PloS one, 16. doi: 10.1371/journal.pone.0254062.
• Frintrop S, Fink GA, & Jiang X. (2021). Editorial: Special Issue: Computer Vision and Pattern Recognition (DAGM GCPR 2019). International Journal of Computer Vision, 129(11), 3004–3005.
• Blanger L, Hirata N, & Jiang X. (2021). Reducing the need for bounding box annotations in object detection using image classification data. In 34th SIBGRAPI Conference on Graphics, Patterns and Images, online , pp. 199–206.
• Xu J, Liu J, Zhang D, Zhou Z, Jiang X, Zhang C, & Chen X. (2021). Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates. International Journal of Computer Assisted Radiology and Surgery, 16, 1785–1794.
• Leenings R, Winter N, Plagwitz L, Holstein V, Ernsting J, Steenweg J, Gebker J, Sarink K, Emden D, Grotegerd D, Opel N, Risse B, Jiang X, Dannlowski U, & Hahn T. (2021). PHOTONAI - A Python API for rapid machine learning model development. PloS one, 16(7), e0254062.
• Winter D, Bian A, & Jiang X. (2021). Layer-wise relevance propagation based sample condensation for kernel machines. In 19th International Conference on Computer Analysis of Images and Patterns, online , pp. 487–496.
• Dewi C, Chen RC, Liu YT, Jiang X, & Hartomo KD. (2021). Yolo V4 for advanced traffic sign recognition with synthetic training data generated by various GAN. IEEE Access, 9, 97228–97242.
• Drees D, Scherzinger A, Hägerling R, Kiefer F, & Jiang X. (2021). Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets. BMC Bioinformatics, 22(1), Article 346. doi: 10.1186/s12859-021-04262-w.
• Kirschnick, Nils; Drees, Dominik; Redder, Esther ; Erapaneedi, Raghu ; Pereira da Graca, Abel ; Schäfers, Michael ; Jiang, Xiaoyi ; Kiefer, Friedemann. (2021). Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures. iScience, 24(6), Article 102650. doi: 10.1016/j.isci.2021.102650.

2020

• Moreno-García CF, Serratosa F, & Jiang X. (2020). Correspondence edit distance to obtain a set of weighted means of graph correspondences. Pattern Recognition Letters, 134, 29–36.
• Xu L, Wang X, Bai L, Xiao J, Liu Q, Chen E, Jiang X, & Luo B. (2020). Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognition, 106, 107373.
• Zhang L, Zhang JZ, Jiang X, & Liang B. (2020). Error correctable hand-eye calibration for stripe-laser vision-guided robotics. IEEE Transactions on Instrumentation and Measurement, 69(10), 8314–8327.
• Xiao J, Jia Y, Jiang X, & Wang S. (2020). Circular complex-valued GMDH-type neural network for real-valued classification problems. IEEE Transactions on Neural Networks and Learning Systems, 31(12), 5285–5299.
• Zhang JQ, & Jiang X. (2020). Improved computation of affine dynamic time warping. In International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria , pp. 30:1–30:5.
• Xiao J, Tian Y, Xie L, Jiang X, & Huang J. (2020). A hybrid classification framework based on clustering. IEEE Transactions on Industrial Informatics, 16(4), 2177–2188.
• Nienkötter A, & Jiang X. (2020). A lower bound for generalized median based consensus learning using kernel-induced distance functions. Pattern Recognition Letters, 140, 339–347.
• Dewi C, Chen RC, Liu YT, Tai SK, Jiang X, & Yu H. (2020). Deep Learning for traffic sign recognition based on spatial pyramid pooling with scale analysis. Applied Sciences, 10, 6997.
• Sun Q, Mai Y. Yang R, Ji T, Jiang X, & Chen X. (2020). Fast and accurate online calibration of optical see-through head-mounted display for AR based surgical navigation using Microsoft HoloLens. International Journal of Computer Assisted Radiology and Surgery, 15(11), 1907–1919.
• Xu J, Wang S, Zhou Z, Liu J, Jiang X, & Chen X. (2020). Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net. International Journal of Computer Assisted Radiology and Surgery, 15(9), 1457–1465.
• Monteiro Silva AC, Hirata N, & Jiang X. (2020). Skeletal similarity based performance evaluation for document binarization. In 17th International Conference on Frontiers in Handwriting Recognition, Dortmund, Germany , pp. 37–42.
• Klemm, S; Rexeisen, R; Stummer, W; Jiang, X, & Holling, M. (2020). A video processing pipeline for intraoperative analysis of cerebral blood flow. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(4), 356–366. doi: 10.1080/21681163.2018.1559771.

2019

• Michels T, Berh D, & Jiang X. (2019). An RJMCMC-based method for tracking and resolving collisions of Drosophila Larvae. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2), 465–474.
• Chen X, Hu Y, Zhang Z, Wang B, Zhang L, Shi F, Chen X, & Jiang X. (2019). A graph-based approach to automated EUS image layer segmentation and abnormal region detection. Neurocomputing, 336, 79–91.
• Fink GA, Frintrop S, Jiang X (Eds.). (2019). Pattern Recognition.: Springer VDI Verlag.
• Cebollada S, Paya L, Vaiente D, Jiang X, & Reinoso O. (2019). An evaluation between global appearance descriptors based on analytic methods and deep learning techniques for localization in autonomous mobile robots. In 16th International Conference on Informatics in Control, Automation and Robotics, Prague , pp. 284–291.
• Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, & Linsen L. (2019). Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks. In Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko (Eds.): Machine Learning Methods in Visualisation for Big Data The Eurographics Association. doi: 10.2312/mlvis.20191160.
• Klemm S, Ortkemper RD, & Jiang X. (2019). Deploying Deep Learning into practice: A case study on fundus segmentation. In Proc. of 23rd Conference in Medical Imaging, Understanding and Analysis, Liverpool, UK , pp. 411–422.
• O'Sullivan S, Ali Z, Jiang X, Abdolvand R, Ünlü MS, Placido da Silva H, Baca J, Kim B, Scott S, Sajid M, Moradian S, Mansoorzare H, & Holzinger A. (2019). Developments in connectivity and Machine Learning/AI for point-of-care testing. Sensors, 19(8), 1917.
• Drees D, Scherzinger A, & Jiang X. (2019). GERoMe – a method for evaluating stability of graph extraction algorithms without ground truth. IEEE Access, 7, 21744–21755. doi: 10.1109/ACCESS.2019.2898754.

2018

• Mo L, Xie L, Jiang X, Teng G, Xu L, & Xiao J. (2018). GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries. Applied Soft Computing, 62, 478–490.
• Frohwein L, Hess M, Schlicher D, Bolwin K, Büther F, Jiang X, & Schäfers K. (2018). PET attenuation correction for flexible MRI surface coils in hybrid PET/MRI using a 3D depth camera. Physics in Medicine and Biology, 63(2), 025033. doi: 10.1088/1361-6560/aa9e2f.
• Nienkötter A, & Jiang X. (2018). Consensus learning for sequence data. In Last M, Bunke H, Kandel A (Eds.), Data Mining in Time Series and Streaming Databases (pp. 69–91). World Scientific Publishing.
• Xu L, Jiang X, Bai L, Xiao J, & Luo B. (2018). A hybrid reproducing graph kernel based on information entropy. Pattern Recognition, 73, 89–98.
• Berh D, Scherzinger A, Otto N, Jiang X, Klämbt C, & Risse B. (2018). Automatic non-invasive heartbeat quantification of Drosophila pupae. Computers in Biology and Medicine, 93, 189–199.
• Otto N, Marelja Z, Schoofs A, Kranenburg H, Bittern J, Yildirim K, Berh D, Bethke M, Thomas S, Rode S, Risse B, Jiang X, Pankratz M, Leimkuehler S, & Klämbt C. (2018). The Sulfite Oxidase Shopper controls neuronal activity by regulating glutamate homeostasis in Drosophila ensheathing glia. Nature Communications, 9(1), 3514.
• Kiel M, Berh D, Daniel J, Otto N, Steege A, Jiang X, Liebau E, & Risse B. A Multi-Purpose Worm Tracker Based on FIM. bioRxiv (2018).
• Valenzuela D, Jiang X, Carrillo A, & Rojas I. (2018). Multi-objective genetic algorithms to find most relevant volumes of the brain related to Alzheimer's disease and mild cognitive impairment. International Journal of Neural Systems, 28(9), 1850022.
• Klemm S, Scherzinger A, Drees D, & Jiang X. (2018). Barista - a graphical tool for designing and training deep neural networks. arXiv e-print:1802.04626: CoRR.
• Klemm S, Jiang X, & Risse B. (2018). Deep distance transform to segment visually indistinguishable merged objects. In Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart , pp. 422–433.
• Scherzinger A, Hugenroth P, Rüder M, Bogdan S, & Jiang X. (2018). Multi-class Cell Segmentation using CNNs with F1-measure Loss Function. In Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart , pp. 434–446.

2017

• Seifert R, Scherzinger A, Kiefer F, Hermann S, Jiang X, & Schäfers M. (2017). Statistical permutation-based artery mapping (SPAM): A novel approach to evaluate imaging signals in the vessel wall. BMC Medical Imaging, 17(1), 36:1–36:11.
• Bian A, Scherzinger A, & Jiang X. (2017). An enhanced multi-label random walk for biomedical image segmentation using statistical seed generation. In Proc. of 18th Int. Confernce on Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium , pp. 748–760.
• Hägerling R, Drees D, Scherzinger A, Dierkes C, Martin-Almedina S, Butz S, Gordon K, Schäfers M, Hinrichs K, Ostergaard P, Vestweber D, Goerge T, Mansour S, Jiang X, Mortimer P, & Kiefer F. (2017). VIPAR, a quantitative approach to 3D-histopathology applied to lymphatic malformations. JCI Insight, 2(16), e93424.
• Xiao J, Cao HW, Jiang X, Gu X, & Xie L. (2017). GMDH-based semi-supervised feature selection for customer classification. Knowledge-Based Systems, 132, 236–248.
• Broelemann K, Jiang X, Mukherjee S, & Chowdhury AS. (2017). Variants of k-regular nearest neighbor graph and their construction. Information Processing Letters, 126, 18–23.
• Scherzinger A, Klemm S, Berh D, & Jiang X. (2017). CNN-based background subtraction for long-term in-vial FIM imaging. In Proc. of 17th Int. Conf. on Computer Analysis of Images and Patterns (CAIP), Ystad, Sweden , pp. 359–371.
• Almeida-Carvalho MJ, Berh D, ......, Jiang X, ......, Risse B, ......, & Zlatic M. (2017). The Ol1mpiad: Concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae. Journal of Experimental Biology, 220, 2452–2475. doi: 10.1242/jeb.156646.
• Risse B, Berh D, Otto N, Klämbt C, & Jiang X. (2017). FIMTrack: An open source tracking and locomotion analysis software for small animals. PLoS Computational Biology, 13(5), e1005530. doi: 10.1371/journal.pcbi.1005530.
• Moreno CFG, Serratosa F, & Jiang X. (2017). An edit distance between graph correspondences. In Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR), Anacapri , pp. 232–241.
• Drees D, Scherzinger A, & Jiang X. (2017). GERoMe - A novel graph extraction robustness measure. In Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR), Anacapri, Italy , pp. 73–82.
• Ungru K, & Jiang X. (2017). Dynamic programming based segmentation in biomedical imaging. Computational and Structural Biotechnology Journal, 15, 255–264.
• Bian A, & Jiang X. (2017). T-Test based adaptive random walk segmentation under multiplicative speckle noise model. In Proc. of ACCV-Workshops, Taipei, Taiwan , pp. 570–582.
• Berh D, Risse B, Michels T, Otto N, Jiang X, & Klämbt C. (2017). A FIM-based long-term in-vial monitoring system for Drosophila larvae. IEEE Transactions on Biomedical Engineering, 64(8), 1862–1874.
• Risse B, Otto N, Berh D, Jiang X, Kiel M, & Klämbt C. (2017). FIM2c: A multi-colour, multi-purpose imaging system to manipulate and analyse animal behaviour. IEEE Transactions on Biomedical Engineering, 64(3), 610–620.
• Roters J, & Jiang X. (2017). FestGPU: A framework for fast robust estimation on GPU. Journal of Real-Time Image Processing, 13(4), 759–772.
• Tenbrinck D, & Jiang X. (2017). Image segmentation with physical noise models. In El-Baz A, Jiang X, Suri JS (Eds.), Biomedical Image Segmentation: Advances and Trends (pp. 461–484). CRC Press.

2016

• Martinez-Trinidad JF, Carrasco-Ochoa JA, Ayala Ramirez V, Olvera-Lopez JA, Jiang X (Eds.). (2016). Pattern Recognition.: Springer VDI Verlag.
• Nienkötter A, & Jiang X. (2016). Distance-preserving vector space embedding for the closest string problem. In Proc. of 23rd Int. Conf. on Pattern Recognition (ICPR), Cancun, Mexico , pp. 1530–1535. doi: 10.1109/ICPR.2016.7899854.
• Nienkötter A, & Jiang X. (2016). Improved prototype embedding based generalized median computation by means of refined reconstruction methods. In Proc. of Joint IAPR Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), Merida, Mexico , pp. 107–117.
• Wiesemann T, & Jiang X. (2016). Fog augmentation of road images for performance analysis of traffic sign detection algorithms. In Proc. of 17th Int. Confernce on Advanced Concepts for Intelligent Vision Systems (ACIVS), Lecce, Italy , pp. 685–697.
• Bian A, & Jiang X. (2016). Statistical modeling based adaptive parameter setting for random walk segmentation. In Proc. of 17th Int. Confernce on Advanced Concepts for Intelligent Vision Systems (ACIVS), Lecce, Italy , pp. 698–710.
• Scherzinger A, Kleene F, Dierkes C, Kiefer F, Hinrichs KH, & Jiang X. (2016). Automated Segmentation of Immunostained Cell Nuclei in 3D Ultramicroscopy Images. In Proc. of 38th German Conference on Pattern Recognition (GCPR), Hannover, Germany , pp. 105–116. Springer.
• Otto N, Risse B, Berh D, Bittern J, Jiang X, & Klämbt C. (2016). Interactions among Drosophila larvae before and during collision. Scientific Reports, 11(6), 31564. doi: 10.1038/srep31564.
• Siegert Y, Jiang X, Krieg V, & Bartholomäus S. (2016). Classification-based record linkage with pseudonymized data for epidemiological cancer registries. IEEE Transactions on Multimedia, 18(10), 1929–1941.
• Xiao J, Jiang X, He C, & Teng G. (2016). Churn prediction in customer relationship management via GMDH-based multiple classifiers ensemble. IEEE Intelligent Systems, 31(2), 37–44.
• Teng G, He C, Xiao J, He Y, Zhu B, & Jiang X. (2016). Cluster ensemble framework based on the group method of data handling. Applied Soft Computing, 43, 35–46.
• Broelemann K, Jiang X, & Schwering A. (2016). Automatic understanding of sketch maps using context-aware classification. Expert Systems with Applications, 45, 195–207.
• El-Baz A, Jiang X, Suri JS (Eds.). (2016). Biomedical Image Segmentation: Advances and Trends.: CRC Press.

2015

• D. Tenbrinck, X. Jiang. (2015). Image Segmentation with Arbitrary Noise Models by Solving Minimal Surface Problems. Pattern Recognition, 48(11), 2393–3309. doi: 10.1016/j.patcog.2015.01.006.
• Z. Wu, X. Jiang, N. Zheng, Y. Liu, and D. Cheng. (2015). Exact solution to median surface problem using 3D graph search and application to parameter space exploration. Pattern Recognition, 48(2), 380–390.
• V.N. Gangapure, S. Nanda, A.S. Chowdhury, X. Jiang. (2015). Causal video segmentation using superseeds and graph matching. In IAPR International Workshop on Graph-based Representations in Pattern Recognition, Beijing , pp. 282–291.
• V. Carletti, P. Foggia, M. Vento, X. Jiang. (2015). Report on the first contest on graph matching algorithms for pattern search in biological databases. In IAPR International Workshop on Graph-based Representations in Pattern Recognition, Beijing , pp. 178–187.
• X. Jiang, G. Percannella, M. Vento. (2015). A verification-based multithreshold probing approach to HEp-2 cell segmentation. In CAIP, Malta , pp. 266–276.
• S. Schmid, X. Jiang, K. Schäfers. (2015). Puzzle approach to pose tracking of a rigid object in a multi camera system. In CAIP, Malta , pp. 337–349.
• T. Araki, N. Ikeda, N. Dey, S. Chakraborty, L. Saba, D. Kumar, E.C. Godia, X. Jiang, A. Gupta, P. Radeva, J.R. Laird, A. Nicolaides, J.S. Suri. (2015). A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. Computer Methods and Programs in Biomedicine, 118(2), 158–172.
• Z. Wu, X. Jiang, N. Zheng, D. Cheng. (2015). Efficient block-wise temporally consistent contour extraction in image sequences. Neurocomputing, 152, 127–138.
• B. Zhu, C. He, X. Jiang. (2015). Customer choice prediction based on transfer learning. Journal of the Operational Research Society, 66(6), 1044–1051.
• B. Risse, D. Berh, N. Otto, X. Jiang, C. Klämbt. (2015). Quantifying subtle locomotion phenotypes of drosophila larvae using internal structures based on FIM images. Computers in Biology and Medicine, 63, 269–276.
• B. Zhu, C. He, X. Jiang. (2015). A consistency-based validation for data clustering. Intelligent Data Analysis, 19(3), 471–484.
• J. Seebach, A.A. Taha, J. Lenk, N. Lindemann, X. Jiang , K. Brinkmann, S. Bogdan, and H.-J. Schnittler. (2015). The CellBorderTracker, a novel tool to quantitatively analyse spatiotemporal endothelial junction dynamics at the subcellular level. Histochemistry and Cell Biology, 144(6), 517–532.
• M. Schmeing, X. Jiang. (2015). Faithful disocclusion filling in depth image based rendering using superpixel-based inpainting. IEEE Transactions on Multimedia, 17(12), 2160–2173.
• Benjamin Risse. (2015). FIM Imaging and the Analysis of Drosophila Locomotion. (Dissertationsschrift). Universität Münster.
• T. Chakraborti, D.K. Jha, A.S. Chowdhury, X. Jiang. (2015). A self-adaptive matched filter for retinal blood vessel detection. Machine Vision and Applications, 26(1), 68. doi: 10.1007/s00138-014-0636-z.

2014

• L. Franek, X. Jiang, C. He. (2014). Weighted mean of a pair of clusterings. Pattern Analysis and Applications, 17(1), 166. doi: 10.1007/s10044-012-0304-8.
• L. Franek, X. Jiang. (2014). Ensemble clustering by means of clustering embedding in vector spaces. Pattern Recognition, 47(2), 842. doi: 10.1016/j.patcog.2013.08.019.
• Michael Aloys Schmeing. (2014). Disocclusion Filling in Depth-Based View Synthesis and Depth Map Enhancement. (Dissertationsschrift). Universität Münster.
• K. Broelemann. (2014). Automatic Offline Understanding of Hand-Drawn Sketch Maps. (Dissertationsschrift). Universität Münster.
• X. Jiang, J. Hornegger, and R. Koch (Eds.). (2014). Pattern Recognition.: Springer VDI Verlag.
• F. Gigengack, X. Jiang, M. Dawood, and K.P. Schäfers. (2014). Motion Correction in Thoracic Positron Emission Tomography.: Springer VDI Verlag.
• T. Tham, K. Ichikawa, M. Oyama-Higa, D. Coomans, X. Jiang (Eds.). (2014). Biomedical Informatics and Technology.: Springer VDI Verlag.
• B. Risse, N. Otto, D. Berh, X. Jiang, C. Klämbt. (2014). FIM imaging and FIMTrack: Two new tools allowing high-throughput and cost effective locomotion analysis. Journal of Visualized Experiments, 94.
• K. Ungru, D. Tenbrinck, X. Jiang, and J. Stypmann. (2014). Automatic classification of left ventricular wall segments in small animal ultrasound imaging. Computer Methods and Programs in Biomedicine, 117(1), 2-12.
• M. Fieseler, F. Gigengack, X. Jiang, and K. Schäfers. (2014). Motion correction of whole-body PET data with a joint PET-MRI registration functional. BioMedical Engineering OnLine, 13(Suppl 1).
• Y. Chan, D. Huang, K. Liu, R. Chen, X. Jiang. (2014). An automatic indirect immunofluorescence cell segmentation system. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/501206.
• M. Schmeing, E. Krauskopf, X. Jiang. (2014). Real-time depth fusion using a low-cost depth sensor array. In 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (to appear).
• M. Schmeing, X. Jiang. (2014). Edge-aware depth image filtering using color segmentation. Pattern Recognition Letters, 50, 63–71. doi: 10.1016/j.patrec.2014.03.026.
• M. Schmeing, X. Jiang. (2014). Superpixel-based disocclusion filling in depth image based rendering. In IEEE International Conference on Pattern Recognition .
• U. Lammel, M. Bechtold, B. Risse B, D. Berh, A. Fleige, I. Bunse, X. Jiang, C. Klämbt, S. Bogdan. (2014). The Drosophila FHOD1-like formin Knittrig acts through Rok to promote stress fiber formation and directed macrophage migration during the cellular immune response. Development, 141(6), 1366–1380. doi: 10.1242/dev.101352.

2013

• Dawood M, Gigengack F, Jiang X, & Schafers KP. (2013). A mass conservation-based optical flow method for cardiac motion correction in 3D-PET. Medical Physics, 40(1), 012505. doi: 10.1118/1.4770276.
• F. Gigengack. (2013). Mass-Preserving Motion Correction and Multimodal Image Segmentation in Positron Emission Tomography. (Dissertationsschrift). Universität Münster.
• D. Tenbrinck. (2013). Variational Methods for Medical Ultrasound Imaging. (Dissertationsschrift). Universität Münster.
• J. Roters. (2013). Incremental Multi-View 3D Reconstruction with Application to Disaster Management. (Dissertationsschrift). Universität Münster.
• W.G. Kropatsch, N.M. Artner, Y. Haxhimusa, and X. Jiang (Eds.). (2013). Graph-Based Representations in Pattern Recognition.: Springer VDI Verlag.
• X. Jiang, O. Bellon, D. Goldgof, and T. Oishi (Eds.). (2013). Advances in Depth Image Analysis and Applications.: Springer VDI Verlag.
• L. Franek and X. Jiang. (2013). Orthogonal design of experiments for parameter learning in image segmentation. Signal Processing, 93.
• B. Risse, D. Berh, J. Tao, X. Jiang, R. Klette, and C. Klämbt. (2013). Comparison of two 3D tracking paradigms for freely flying insects. Eurasip Journal on Image and Video Processing, 2013.
• A. Sawatzky, D. Tenbrinck, X. Jiang, and M. Burger. (2013). A variational framework for region-based segmentation incorporating physical noise models. Journal of Mathematical Imaging and Vision, 47.
• G.-E. Teng, C. He, J. Xiao, and X. Jiang. (2013). Customer credit scoring based on HMM-GMDH hybrid model. Knowledge and Information Systems, 36.
• D. Tenbrinck, S. Schmid, X. Jiang, K. Schäfers, J. Stypmann. (2013). Histogram-based optical flow for motion estimation in ultrasound imaging. Journal of Mathematical Imaging and Vision, 47.
• M. Fieseler, H. Kugel, F. Gigengack, T. Kösters, F. Büther, H.H. Quick, C. Faber, X. Jiang, and K.P. Schäfers. (2013). A dynamic thorax phantom for the assessment of cardiac and respiratory motion correction in PET/MRI: A preliminary evaluation. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 702, 59–63. doi: 10.1016/j.nima.2012.09.039.
• M. Schmeing, X. Jiang. (2013). Color segmentation based depth image filtering. In Jiang X, Bellon O, Goldgof D, Oishi T (Eds.), Advances in Depth Image Analysis and Applications (pp. 68–77). Springer VDI Verlag. doi: 10.1007/978-3-642-40303-3\_8.
• M. Schmeing, X. Jiang. (2013). A background modeling-based faithful approach to the disocclusion problem in depth image-based rendering. International Journal of Pattern Recognition and Artificial Intelligence, 27(02), 1354005. doi: 10.1142/S0218001413540050.
• Risse B, Jiang X, & Klämbt C. (2013). FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications. ERCIM News, 95(Image Understanding), 11–12.
• M. Sander, A.J. Squarr, B. Risse, X. Jiang, S. Bogdan. (2013). Drosophila pupal macrophages - A versatile tool for combined ex vivo and in vivo imaging of actin dynamics at high resolution. European Journal of Cell Biology, 2013. doi: 10.1016/j.ejcb.2013.09.003.
• B. Risse, S. Thomas, N. Otto, T. Löpmeier, D. Valkov, X. Jiang, C. Klämbt. (2013). FIM, a novel FTIR-based imaging method for high throughput locomotion analysis. PloS one, 8(1), e53963. doi: 10.1371/journal.pone.0053963.

2012

• Schmeing M, & Jiang X. (2012). Faithful Spatio-Temporal Disocclusion Filling Using Local Optimization. In IEEE International Conference on Pattern Recognition , pp. 3799–3802.
• Broelemann Klaus, Dutta Anjan, Jiang Xiaoyi, Llados Josep. (2012). Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images. In Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, Hiroshima, Japan , pp. 529–538.
• Dawood M, Jiang X, Schäfers K (Eds.). (2012). Correction Techniques in Emission Tomographic Imaging.: CRC Press.
• Xiao J, Xie L, He C, & Jiang X. (2012). Dynamic classifier ensemble model for customer classification with imbalanced class distribution. Expert Systems with Applications, 39(3), 3668–3675. doi: 10.1016/j.eswa.2011.09.059.
• Jiang X, Wentker J, & Ferrer M. (2012). Generalized median string computation by means of string embedding in vector spaces. Pattern Recognition Letters, 33(7).
• Jiang X, Lambers M, & Bunke H. (2012). Structural performance evaluation of curvilinear structure detection algorithms with application to retinal vessel segmentation. Pattern Recognition Letters, 33(15).
• Franek L, Jiang X, & Wattuya P. (2012). Local Instability Problem of Image Segmentation Algorithms: Systematic Study and an Ensemble-Based Solution. International Journal of Pattern Recognition and Artificial Intelligence, 26.
• Broelemann Klaus, Jiang Xiaoyi. (2012). A region-based method for sketch map segmentation. In Kwon Young-Bin, Ogier Jean-Marc (Eds.): Graphics Recognition. New Trends and Challenges , pp. 1–14. Berlin Heidelberg: Springer. doi: 10.1007/978-3-642-36824-0_1.
• Gigengack F, Ruthotto L, Burger M, Wolters C, Jiang X, & Schafers K. (2012). Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Transactions on Medical Imaging, 31(3), 698–712.
• Lucas Franek. (2012). Ensemble Algorithms with Applications to Clustering and Image Segmentation. (Dissertationsschrift). Universität Münster.

2011

• Fieseler M, & Jiang X. (2011). Discontinuity-based registration of depth and video data in depth image based rendering. Signal, Image and Video Processing, 5(3), 353–361. doi: 10.1007/s11760-010-0199-z.
• Jiang X, Ferrer M, Torsello A (Eds.). (2011). Graph-Based Representations in Pattern Recognition.: Springer VDI Verlag.
• Jiang X, Große A, & Rothaus K. (2011). Interactive segmentation of non-star-shaped contours by dynamic programming. Pattern Recognition, 44(9), 2001–2009. doi: 10.1016/j.patcog.2011.03.010.
• Jiang X, Broelemann K, Wachenfeld S, & Krüger A. (2011). Graph-based markerless registration of city maps using geometric hashing. Computer Vision and Image Understanding, 115(7), 1031–1042. doi: 10.1016/j.cviu.2010.12.014.
• T.D. Pham, X. Zhou, H. Tanaka, M. Oyama-Higa, X. Jiang, C. Sun, J. Kowalski, and X. Jia (Eds.). (2011). Proc. of Int. Symposium on Computational Models for Life Sciences.: Selbstverlag / Eigenverlag / Self-publishing.
• Roters J, Jiang X, & Rothaus K. (2011). Recognition of traffic lights in live video streams on mobile devices. IEEE Transactions on Circuits and Systems for Video Technology, 21(10).
• Schmeing M, & Jiang X. (2011). Depth Image Based Rendering. In Wang Patrick S.P. (Ed.), Pattern Recognition, Machine Intelligence and Biometrics (pp. 279–310). Springer VDI Verlag.
• Schmeing M, & Jiang X. (2011). Time-Consistency of Disocclusion Filling Algorithms in Depth Image Based Rendering. In Proc. 3DTV Conf.: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) , pp. 1––4. doi: 10.1109/3DTV.2011.5877201.

2010

• Wachenfeld S, Terlunen S, & Jiang X. (2010). Robust 1-D barcode recognition on camera phones and mobile product information display. In Mobile Multimedia Processing: Fundamentals, Methods and Applications (pp. 53–69). Springer VDI Verlag.
• Wachenfeld W, Madeja M, & Jiang X. (2010). Developing mobile multimedia applications on Symbian OS devices. In Mobile Multimedia Processing: Fundamentals, Methods and Applications (pp. 238–263). Springer VDI Verlag.
• Jiang X, & Bunke H. (2010). Learning by generalized median concept. In Pattern Recognition and Machine Vision (pp. 1–16). River Publishers.
• Riesen K, Jiang X, & Bunke H. (2010). Exact and inexact graph matching- Methodology and applications. In Aggarwal C, Wang H (Eds.), Managing and Mining Graph Data (pp. 217–247). Springer VDI Verlag.
• Dawood M, Brune C, Jiang X, Büther F, Burger M, Schober O, Schäfers M, & Schäfers K. (2010). A continuity equation based optical flow method for cardiac motion correction in 3D PET data. In Hongen Liao, P.J. Eddie Edwards, Xiaochuan Pan (Eds.): Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010, Proceedings (Lecture Notes in ... Vision, Pattern Recognition, and Graphics) , pp. 88–97. Berlin Heidelberg: Springer. doi: 10.1007/978-3-642-15699-1_10.
• Abdala D, & Jiang X. (2010). Fiber segmentation using constrained clustering. In Proc. of ICMB, Hong Kong.
• Jiang X, & Abdala D. (2010). Exploring the performance limit of cluster ensemble techniques. In Proc. of SSPR, Izmir.
• Abdala D, Wattuya P, & Jiang X. (2010). Ensemble clustering via random walker consensus strategy. In Proc. of ICPR, Istambul.
• Schmeing M, & Jiang X. (2010). Depth Image Based Rendering: A Faithful Approach For the Disocclusion Problem. In Proc. 3DTV-Conf.: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) , pp. 1–4. doi: 10.1109/3DTV.2010.5506596.
• Xiao J, He, Z C, & Jiang X. (2010). A dynamic classifer ensemble selection approach for noise data. Information Sciences.
• Lewin S, Jiang X, & Clausing A. (2010). Perceptually motivated shape evolution with shape-preserving property. Pattern Recognition Letters, 31(6), 447–453.
• Bartenhagen C, Klein HU, Ruckert C, Jiang X, & Dugas M. (2010). Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data. Trials, 11, 567–577. doi: 10.1186/1471-2105-11-567.
• Jiang X, Ma MY, Chen CW (Eds.). (2010). Multimedia Processing: Fundamentals, Methods, and Applications.: Springer VDI Verlag.
• Lewin S, Jiang X, & Clausing A. (2010). Perceptually motivated shape evolution with shape-preserving property. Pattern Recognition Letters, 31(6), 447–453.
• Gigengack F., Ruthotto L., Burger M., Wolters C., Jiang X., & Schafers K. (2010). Motion correction of cardiac PET using mass-preserving registration. In 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, Knoxville, TN, usa , pp. 3317–3319. doi: 10.1109/NSSMIC.2010.5874418.
• Daniel Duarte Abdala. (2010). Ensemble and Constrained Clustering with Applications. (Dissertationsschrift). Universität Münster.
• Pakaket Wattuya. (2010). Combination of Multiple Image Segmentations. (Dissertationsschrift). Universität Münster.

2009

• Wachenfeld S, Broelemann K, Jiang X, & Krüger A. (2009). Graph-based registration of partial images of city maps using geometric hashing. , pp. 92–101. doi: 10.1007/978-3-642-02124-4_10.
• Dawood M, Büther F, Stegger L, Jiang X, Schober O, Schäfers M, & Schäfers KP. (2009). Optimal number of respiratory gates in positron emission tomography: a cardiac patient study. Medical Physics, 36(5), 1775–84. doi: 10.1118/1.3112422.
• Franek L, & Jiang X. (2009). An instability problem region growing segmentation algorithms and its set median solution. In Proc. of 5th Int. Symposium on Visual Computing, Las Vegas.
• Gigengack F, & Jiang X. (2009). Improved uncalibrated view synthesis by extended positioning of virtual cameras and image quality optimization. In Proc. of ACCV, Xian.
• Rothaus K, Roters J, & Jiang X. (2009). Localization of pedestrian lights on mobile devices. In Proc. Of APSIPA Annual Summit and Conference, Sapporo, Japan.
• Chen, -F Y, Huang, -F Y, Jiang X, Hsu, -N Y, Lin, -H H. (2009). Design of clinical support systems using integrated genetic algorithm and support vector machine. In 13th Int. Conf. on Computer Analysis of Images and Patterns , pp. 791–798.
• Cheng, -C D, Schmidt-Trucksäss A, Liu, -H S, & Jiang X. (2009). Improved arterial inner wall detection using generalized median computation. In 13th Int. Conf. on Computer Analysis of Images and patterns , pp. 622–630.
• Grosse A, Rothaus K, & Jiang X. (2009). Detection of non-convex objects by dynamic programming. In 13th Int. Conf. on Computer Analysis of Images and Patterns , pp. 285–292.
• Abdala , D D, & Jiang X. (2009). An evidence accumulation approach to constrained clustering combination. In 6th Int. Conf. on Machine Learning and Data Mining in Pattern Recognition , pp. 361–371.
• Wachenfeld S, Broelemann K, Jiang X, & Küger A. (2009). Graph-based registration of partial images of city maps using geometric hashing. In Proc. Of GbR, Venice , pp. 92–101.
• Fieseler M, & Jiang X. (2009). Registration of depth and video data in depth image based rendering. In 3DTV Conference, Potsdam.
• Stadelmann R, Jiang X, Mojon, S D. (2009). A computer-based test to quantify the Pulfrich stereo phenomenon. Ophthalmologica.
• Dawood M, Büther F, Stegger L, Jiang X, Schober O, Schäfers M, & Schäfers K. (2009). Optimal number of respiratory gates in positron emission tomography: A cardiac patient study. Medical Physics, 36(15), 1775–1784.
• Von Wangenheim A, Bertoldi, F R, Sobieranski A, Coser L, Abdala D, Jiang X, Richter M, Priese L, & Schmitt F. (2009). Color Image segmentation using an enhanced gradient network method. Pattern Recognition Letters, 30(15), 1404–1412.
• Jiang X, Hsu, -C J, Rothaus K, Menning M, Chen, -F Y. (2009). Chest X-Ray Based Tumor Growth Assessment for Lung Tumor Diagnosis. Transactions on Mass-Data Analysis of Images and Signals with Applications in Medicine, Biotechnology, Chemistry and Food Industry, 1(1), 27–37.
• Xiao J, He C, & Jiang X. (2009). Structure identifcation by Bayesian classifers based on GMDH. Knowledge-Based Systems, 22(6), 461–470.
• Rothaus K, Rhiem P, & Jiang X. (2009). Separation of the retinal vascular graph in arteries and veins upon structural knowledge. Image and Vision Computing, 27(7), 864–875.
• Metzen J, Kröger T, Schenk A, Zidowitz S, Peitgen, O H, & Jiang X. (2009). Matching of tree structures for registration of medical images. Image and Vision Computing, 27(7), 923–933.
• Schmeing M, & Jiang X. (2009). Robust Background Subtraction for Depth Map Generation. In Proceedings of 3D Stereo MEDIA 2009.
• Jiang X, Petkov N (Eds.). (2009). Computer Analysis of Images and Patterns.: Springer VDI Verlag.
• Steffen Wachenfeld. (2009). Recognition of Screen-Rendered Text. (Dissertationsschrift). Universität Münster.

2008

• Dawood M, Kösters T, Fieseler M, Büther F, Jiang X, Wübbeling F, & Schäfers KP. (2008). Motion correction in respiratory gated cardiac PET/CT using multi-scale optical flow. , pp. 155–62. doi: 10.1007/978-3-540-85990-1_19.
• Jiang X, Chen, -F Y. (2008). Facial image processing. In Applied Pattern Recognition (pp. 29–48). Springer VDI Verlag.
• Wattuya P, & Jiang X. (2008). Ensemble combination for solving the parameter selection problem in image segmentation. In Proc. of SSPR, Orlando , pp. 392–401.
• Rothaus K, & Jiang X. (2008). Constrained clustering by a novel graph-based distance transformation. In Proc. of ICPR, Tampa, Florida.
• Wachenfeld S, Terlunen S, & Jiang X. (2008). Robust recognition of 1-D barcodes using camera phones. In Proc. of ICPR, Tampa, Florida.
• Rothaus S, Rothaus K, & Jiang X. (2008). Synthesizing 3D videos by a motion-conditioned background mosaic. In Proc. of ICPR, Tampa, Florida.
• Wattuya P, K Rothaus, , Paßni, -S J, & Jiang X. (2008). A random walker based approach to combining multiple segmentations. In Proc. of ICPR, Tampa, Florida.
• Dawood M, Kösters T, Fieseler M, Büther F, Jiang X, Wübbeling F, & Schäfers K. (2008). Multi-scale optical flow for respiratory motion correction in cardiac PET/CT. In MICCAI, New York , pp. 155–162.
• Lewin S, Jiang X, & Clausing A. (2008). Perceptually motivated shape evolution with shape-preserving property. In 13th Iberoamerican Congress on Pattern Recognition, Havana , pp. 667–674.
• Wattuya P, Jiang X, & Rothaus K. (2008). Combinati on of mutliple segmentations by a wandom walker approach. In DAGM, Munich , pp. 214–223.
• Rothaus K, Jiang X, Waldeyer T, Fabritz L, Vogel M, & Kirchhof P. (2008). Data mining for detecting isturbances in heart rhythm. In Int. Conf. on Machine Learning and Cybernetics, Kumming, China , pp. 3211–3216.
• Bieri Hö Schär S, Killer T, & Jiang X. (2008). Introducing stereoeffects into Cel animations. In 3DTV Conference, Istabul , pp. 353–356.
• Yang, Y H, Hsu, C J, Chen, F Y, Jiang X, & Chen T. (2008). Using support vector machine to construct a redictive model for clinical decision-making of ventilation weaning. In Int. Joint Conf. on Neural Networks, Hong Kong , pp. 3981–3986.
• Dawood M, Fieseler M, Büther F, Jiang X, & Schäfers K. (2008). A multi-resolution opcal flow based approach to respiratory motion correction in 3D PET/CT images. In Int. Conf. on Medical Biometrics, Hong Kong , pp. 314–322.
• Lohe T, Kröger T, Zidowitz S, Peitgen, -O H, & Jiang X. (2008). Hierarchical matching of anatomical trees for medical image registration. In Int. Conf. on Medical Biometrics, Hong Kong , pp. 224–231.
• Dawood M, Büther F, Lang N, Jiang X, & Schäfers K. (2008). Respiratory motion correction in 3D PET/CT with advanced optical flow algorithms. IEEE Transactions on Medical Imaging, 27(8), 1164–1175.
• Cheng D, & Jiang X. (2008). Detection of arterial wall in sonographic artery images using dual dynamic programming. IEEE Transactions on Information Technology in Biomedicine, 12(6), 792–799.
• Wachenfeld S, Lohe T, Fieseler M, & Jiang X. (2008). DocXS Distributed operator construction and execution system. Pattern Recognition and Image Analysis, 18(2), 328–331.
• Kriegbaum-Stehberger B, Jiang X, Mojon, S D. (2008). Performance of a new, 3D-monitor based random-dot stereotest for children under 4 years of age. Graefes Archive for Clinical and Experimental Ophthalmology, 246(1), 1–7.
• Mohammad Dawood. (2008). Respiratory Motion Correction on 3D Positron Emission Tomography Images. (Dissertationsschrift). Universität Münster.

2007

• Lewin S, Clausing A, & Jiang X. (2007). Shape evolution driven by a perceptually motivated measure. In 3rd Int. Symposium on Visual Computing, Lake Tahoe, Nevada/Califormia , pp. 214–223.
• Wachenfeld S, Lohe T, & Jiang X. (2007). DOCXS - A distributed computing environment for multimedia data processing. In Int. Conf. on Signal Processing and Multimedia Applications, Barcelona.
• Cheng D, Jiang X, & Schmidt-Trucksäss A. (2007). Image segmentation using histogram fitting and spatial information. In Int. Conf. on Mass-Data Anlysis of Images and Signals in Medicine Biotechnology and Chemistry, Leipzig , pp. 47–57.
• Wachenfeld S, Klein, -U H, & Jiang X. (2007). The Screen-Char and Screen-Word Databases for recognition of screen-rendered text. In Int. Conf. on Document Analysis and Recognition, Curitiba , pp. 272–276.
• Wachenfeld Steffen, Klein Hans-Ulrich, Fleischer Stefan, Jiang Xiaoyi. (2007). Segmentation of Very Low Resolution Screen-Rendered Text. In 9th International Conference on Document Analysis and Recognition (ICDAR 2007), Curitiba, Paraná, Brazil , pp. 1153–1157.
• Wachenfeld Steffen, Fleischer Stefan, Jiang Xiaoyi. (2007). A Multiple Classifier Approach for the Recognition of Screen-Rendered Text. In 12th International Conference on Computer Analysis of Images and Patterns (CAIP 2007), Vienna, Austria , pp. 921–928.
• Krüger A, & Jiang X. (2007). Improving human computer interaction through embedded vision technology. In IEEE Int. Conf. on Multimedia & Expo (ICME), Beijing , pp. 687–690.
• Hsu, -C J, Chen, -F Y, Lin, -H H, & Jiang X. (2007). Construction of predication module for successful ventilator weaning. In The 20th Int. Conf. on Industrial Engineering & Other Applications of Applied Intelligent Systems, Kyoto , pp. 766–775.
• Metzen J, Kröger T, Schenk A, Zidowitz S, Peitgen, -O H, & Jiang X. (2007). Matching of tree structures for registration of medical images. In Proc. of GbR, Alicante, Spain , pp. 13–24.
• Rothaus K, Rhiem P, & Jiang X. (2007). Separation of the retinal viscular graph in arteries and veins. In Proc. of GbR, Alicante, Spain , pp. 251–262.
• Metzen J, Kröger T, Schenk A, Zidowitz S, Peitgen, -O H, & Jiang X. (2007). Matching von Baumstrukturen: Zuordnung von Gefäßsystemen aus Leber und Lunge. In Workshop Bildverarbeitung für die Medizin, Munich.
• Weinhold A, & Jiang X. (2007). Vollautomatische Rekonstruktion von Bildern histologischer Stufenschnitte der Rattenleber. In Workshop Bildverarbeitung für die Medizin, Munich.
• Schmid P, Lunkenheimer, P P, Redmann K, Rothaus K, Jiang X, Cryer C, Jaermann T, Niederer P, Boesiger P, , H R, erson,. (2007). Statistical analysis of the angle of intrusion of porcine ventricular myocytes from Epicardium to endocardium using dffusion tensor magnetic resonance imaging. The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, 290(11), 1413–1423.

2006

• Cheng D, & Jiang X. (2006). Using dual dynamic programming for artery's inner wall detection in sonographic images. In The 1st InternationalWorkshop on Computer Vision for Intravascular and Intracardiac Imaging, Copenhagen.
• Jiang X, & Lambers M. (2006). Synthesis of stereoscopic 3D videos by limited resources of range images. In Int. Conf. on Pattern Recognition, Hong Kong , pp. 1220–1224.
• Wachenfeld S, Klein, -U H, & Jiang X. (2006). Recognition of screen-rendered text. In Int. Conf. on Pattern Recognition, Hong Kong , pp. 1086–1089.
• Dawood M, Büther F, Lang N, Jiang X, & Schäfers K. (2006). Transforming static CT in gated PET/CT studies to multiple respiratory phases. In Int. Conf. on Pattern Recognition, Hong Kong , pp. 1026–1029.
• Rothaus K, Jiang X, & Lambers M. (2006). Comparison of methods for hyperspherical data averging and parameter estimation. In Int. Conf. on Pattern Recognition, Hong Kong , pp. 395–399.
• Wattuya P, & Jiang X. (2006). A class of generalized median contour problem with exact solution. In Proc. of SSPR, Hong Kong , pp. 109–117.
• Jiang X, & Lambers M. (2006). DIBR-based 3D videos using non video rate range image stream. In IEEE Int. Conf. on Multimedia & Expo (ICME), Toronto , pp. 1873–1876.
• Jiang X, & Mojon D. (2006). Applications of autostereoscopic displays in opthalmologic studies. In IEEE Int. Conf. on Multimedia & Expo (ICME), Toronto , pp. 1993–1996.
• Jiang X, & Cheng D. (2006). Object modeling with guaranteed fulfillment of geometric constraints. In 3rd International Symposium on 3D Data Processing, Visualiyation and Transmission , pp. 639–646.
• Rothaus K, & Jiang X. (2006). Statistical analysis of myofibre orientation of the ventricular myocardium LNAI, Vol. In Workshop on Mass-Data Analysis of Images and Signals in Medicine Biotechnology and Chemistry, Leipzig , pp. 165–175.
• Cheng D, Jiang X, Schmidt-Trucksäss A, Cheng, -S K. (2006). Automatic intimamedia thickness measurement of carotid artery wall in B-mode sonographic images. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, Virginia , pp. 912–915.
• Jiang X, Rothaus S, Rothaus K, & Mojon D. (2006). Synthesizing face images by iris replacement: Strabismus simulation. In First Int. Conf. on Computer Vision Theory and Applications, Setuba, Portugal , pp. 41–47.
• Jiang X, & Lewin S. (2006). An approach to perceptual shape matching. In Proc. of VISUAL, Amsterdam , pp. 109–120.
• Dawood M, Lang N, Jiang X, & Schäfers K. (2006). Lung motion correction on respiratory gated 3D PET-CT images. IEEE Transactions on Medical Imaging, 25(4), 476–485.
• Gerke M, Bornberg-Bauer E, Jiang X, & Fuellen G. (2006). Finding common protein interaction patterns across organisms. Evolutionary Bioinformatics, 2, 45–52.
• Jiang X, Marti C, Irniger C, & Bunke H. (2006). Distance Measures for Image Segmentation Evaluation. EURASIP Journal on Advances in Signal Processing ( Special Issue on Performance Evaluation in Image Processing), 1–10.
• Breyer A, Jiang X, Rütsche A, Mojon, S D. (2006). A new 3D monitor based randomdot stereotest for children. Investigative Ophthalmology & Visual Science, 47, 4842–4846.
• Breyer A, Jiang X, Rütsche A, Bieri H, Oexl T, Baumann A, Mojon, S D. (2006). Inuence of the Pulfrich phenomenon on driving performance. Graefes Archive for Clinical and Experimental Ophthalmology, 244, 1555–1561.
• Rütsche A, Baumann A, Jiang X, Mojon, S D. (2006). Development of visual pursuit in the first six years. Graefes Archive for Clinical and Experimental Ophthalmology, 244(11), 1406–1411.
• Lunkenheimer, P P, Redmann K, Kling N, Rothaus K, Jiang X, Cryer C, Wübbeling F, Niederer P, Heitz, U Ph, Ho, Y S, , H R, erson,. (2006). The three-dimensional architecture of the left ventricular myocardium. The anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, 288A(6), 565–578.
• Zheng N, X. Jiang X, and Lan X (Eds.). (2006). Advances in Machine Vision, Image Processing, and Pattern Analysis.: Springer VDI Verlag.

2005

• Jiang X. (2005). Performance evaluation of image segmentation algorithms. In Handbook of Pattern Recognition and Computer Vision (pp. 525–542). World Scientific Publishing.
• Schär S, Bieri H, & Jiang X. (2005). Digital restoration of medieval tapestries. In The 6th Int. Symposium on Virtual Reality, Archaeology and Culture Heritage, Pisa.
• Rothaus K, & Jiang X. (2005). Multi-scale segmentation of the vascular tress in retical images. In 3rd European Medical & Biological Engineering Conference - EMBEC'05 , Prague.
• Jiang X, & Cheng D. (2005). A novel parameter decomposition approach to faithful Fitting of quadratic surfaces. In Proc. of DAGM , pp. 168–175.
• Jiang X, Marti C, Irniger C, & Bunke H. (2005). Image segmentation evaluation by techniques of comparing clusterings. In Proc. of ICIAP , pp. 344–351.
• Rothaus K, & Jiang X. (2005). Multi-scale midline extraction using creaseness. In Proc. of ICAPR, Bath, UK , pp. 502–511.
• Jiang X, & Cheng D. (2005). Fitting of 3D circles and ellipses using a parameter decomposition approach. In 5th Int. Conf. on 3-D Digital Imaging and Modeling, Ottawa , pp. 103–109.

2004

• Jiang X, Bunke H, & Csirik J. (2004). Median strings: A review. In Data Mining in Time Series Databases (pp. 173–192). World Scientific Publishing.
• Jiang X, & Bieri H. (2004). 3D imaging and applications. In Integrated Image and Graphics Technologies (pp. 331–349). Kluwer Academic.
• Dawood M, Jiang X, & Schäfers K. (2004). Reliable dual-band based contour detection: A double dynamic programming approach. In Proc. of ICIAR, Porto, Portugal , pp. 544–551.
• Kim, B J, Kim, J H, Wachenfeld S, & Jiang X. (2004). Eficient error concealment using best neighborhood matching and genetic algorithms. In Asian Conference on Computer Vision , pp. 1158–1163.
• Mojon-Azzi, M S, Jiang X, Wagner U, & Mojon D. (2004). Redundant publications in scientific ophthalmologic journals - the top of the iceberg? . Ophthalmology, 111(5), 863–866.

2003

• Bunke H, & Jiang X. (2003). Weighted mean and generalized median of strings. In Pattern Recognition and String Matching (pp. 295–314). Kluwer Academic.
• Breyer A, Jiang X, Rütsche A, & Mojon D. (2003). A new objective visual acuity test: An automated preferential looking. Klinische Monatsbl¨atter Augenheilkunde, 220, 93–95.
• Jiang X, & Mojon D. (2003). Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(1), 131–137.
• Jiang X, Abegglen K, Bunke H, & Csirik J. (2003). Dynamic computation of generalized median strings. Pattern Analysis and Applications, 6(3), 185–193.
• Rütsche A, Baumann A, Jiang X, & Mojon D. (2003). Automated analysis of eye tracking movements. Ophthalmologica, 217, 320–324.

2002

• Jiang X, Hofer S, Stahs T, Ahrns I, & Bunke H. (2002). A new technique for the extraction and tracking of surfaces in range image sequences. In Sensor Based Intelligent Robots (pp. 89–100). Springer VDI Verlag.
• Jiang X, Bunke H, Abegglen K, K A, el,. (2002). Curve morphing by weighted mean of strings. In 16th Int. Conf. on Pattern Recognition, Quebec City, Canada , pp. 192–195.
• Jiang X, & Mojon D. (2002). Supervised evaluation methodology for curvilinear structure detection algorithms. In 16th Int. Conf. on Pattern Recognition, Quebec City, Canada , pp. 103–106.
• Jiang X, & Bunke H. (2002). Optimal lower bound for generalized median problems in metric space. In Structural, Syntactic and Statistical Pattern Recognition.
• Jiang X, Irniger C, & Bunke H. (2002). Training/test data partitioning for empirical performance evaluation. In Empirical Evaluation Methods in Computer Vision , pp. 23–37. World Scientific.
• Mojon-Azzi, M S, Jiang X, Wagner U, & Mojon D. (2002). Ophthalmology ,,made in Switzerland"": Swiss papers listed in Medline. Klinische Monatsblätter Augenheilkunde, 219, 866–871.

2001

• Bunke H, Günter S, & Jiang X. (2001). Towards bridging the gap between statistical and structural pattern recognition: Two new concepts in graph matching. In Advances in Pattern Recognition ICAPR 2001 (pp. 1–11). Springer VDI Verlag.
• Jiang X, & Mojon D. (2001). Blood vessel detection in retinal images by shape-based multi-threshold probing. In Pattern Recognition , pp. 38–44. Springer-Verlag.
• Jiang X, & Mojon D. (2001). Filtering duplicate publications in bibliographic databases. In The First Int. Workshop on New Developments in Digital Libraries, Setubal, Portugal , pp. 79–88.
• Jiang X, Münger A, & Bunke H. (2001). On median graphs: Properties, algorithms, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1144–1151.
• Yu K, Jiang X, & Bunke H. (2001). Sentence lipreading using hidden markov model with integrated grammar. International Journal of Pattern Recognition and Artificial Intelligence, 15(1), 161–176.

2000

• Bunke H, & Jiang X. (2000). Graph matching and similarity. In Intelligent Systems and Interfaces (pp. 281–304). Kluwer Academic.
• Jiang X. (2000). Qualitative decomposition of range images into convex parts/objects. In Int. Workshop on Machine Vision Applications, Tokyo , pp. 123–126.
• Jiang X. (2000). A decomposition approach to geometric fitting. In Int. Workshop on Machine Vision Applications, Tokyo , pp. 467–494.
• Yu K, Jiang X, & Bunke H. (2000). Combining acoustic and visual classifiers for the recognition of spoken sentences. In 15th Int. Conf. on Pattern Recognition, Barcelona , pp. 491–494.
• Jiang X, Yu K, & Bunke H. (2000). Classifier combination for grammar-guided sentence recognition. In Multiple Classifier Systems , pp. 383–392. Springer-Verlag.
• Jiang X, Schimann L, & Bunke H. (2000). Computation of median shapes. In 4th. Asian Conf. on Computer Vision, Taipei , pp. 300–305.
• Jiang X, Münger A, & Bunke H. (2000). Synthesis of representative graphical symbols by computing generalized median graph. In Graphics Recognition: recent Advances , pp. 183–192. Springer-Verlag.
• Jiang X. (2000). An adaptive contour closure algorithm and its experimental evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1252–1265.
• Bunke H, Jiang X, K A, el,. (2000). On the minimum common supergraph of two graphs. Computing, 65(1), 13–25.
• Jiang X, Bunke H, & Meier U. (2000). High-level feature based range image segmentation. Image and Vision Computing, 18(10), 817–822.
• Jiang X, Binkert M, Achermann B, & Bunke H. (2000). Towards detection of glasses in facial images. Pattern Analysis and Applications, 3(1), 9–18.

1999

• Jiang X. (1999). Recent advances in range image segmentation. In Sensor Based Intelligent Robots (pp. 272–286). Springer VDI Verlag.
• Jiang X, Münger A, & Bunke H. (1999). Computing the generalized median of a set of graphs. In 2nd IAPR Workshop on Graph-based Representations, Haindorf, Austria , pp. 115–124.
• Jiang X, Hofer S, Stahs T, Ahrns I, & Bunke H. (1999). Extraction and tracking of surfaces in range image sequences. In Second International Conference on 3D Digital Imaging and Modeling, Ottawa, Canada , pp. 252–260.
• Jiang X, Bunke H, & Widmer-Kljajo D. (1999). Skew correction of document images by focused nearest-neighbor clustering. In Int. Conf. on Document Analysis and Recognition, Bangalore, India , pp. 629–632.
• Yu K, Jiang X, & Bunke H. (1999). Automatic lipreading of sentences combining Hidden Markov Models and Grammars. In 2nd Int. Conf. on Audio- and Video-Based Biometric Person Authentication, Washington D.C. , pp. 90–95.
• Jiang X, & Bunke H. (1999). Optimal vertex ordering of graphs. Information Processing Letters, 72(5), 149–154.
• Yu K, Jiang X, & Bunke H. (1999). Lipreading using signal analysis over time. Signal Processing, 77(2), 195–208.
• Bunke H, Münger A, & Jiang X. (1999). Combinatorial search vs. Genetic algorithms: A case study based on the generalized median graph problem. Pattern Recognition Letters, 20(11), 1271–1277.
• Jiang X, & Bunke H. (1999). Edge detection in range images based on scan line approximation. Computer Vision and Image Understanding, 73(2), 183–199.
• Jiang X, & Bunke H. (1999). Optimal quadratic-time isomorphism of ordered graphs. Pattern Recognition, 32(7), 1273–1283.

1998

• Jiang X, & Bunke H. (1998). Performance assessment of edge-based range image segmentation. In Int. Conf. on Advances in Pattern Recognition , pp. 83–92. Plymouth.
• Achermann B, Zumstein M, Jiang X, & Bunke H. (1998). Matching of nose profiles using weighted Hausdorff distance. In The 2nd IEEE Int. Conf. on Intelligent Processing Systems, Gold Coast, Australia , pp. 164–167.
• Jiang X, Binkert M, Achermann B, & Bunke H. (1998). Towards detection of glasses in facial images. In 14th Int. Conf. on Pattern Recognition, Bisbane, Australia , pp. 1071–1073.
• Jiang X, & Bunke H. (1998). Marked subgraph isomorphism of ordered graphs. In Advances in Pattern Recognition , pp. 122–131. Springer-Verlag.
• Jiang X, & Bunke H. (1998). Search-based contour closure in range images. In Proc. of 14th Int. Conf. on Pattern Recognition, Brisbane, Australia , pp. 16–18.
• Jiang X, Binkert M, Achermann B, & Bunke H. (1998). Detection of glasses in facial images. In The 3rd Asian Conf. on Computer Vision Computer Vision { ACCV'98, Hong Kong , pp. 726–733.
• Powell, W M, Bowyer, W K, Jiang X, & Bunke H. (1998). Comparing curved-surface range image segmenters. In The 6th Int. Conf. on Computer Vision, Bombay, India , pp. 286–291.

1997

• Jiang X, & Bunke H. (1997). Three-Dimensional Computer Vision: Acquisition and Analysis of Range Images (in German). Berlin Heilberg: Springer VDI Verlag.
• Jiang X, Bunke H, & Meier U. (1997). Towards (quasi) real-time range image segmentation. In Intelligent Robots: Sensing Modeling and Planning (pp. 149–163). World Scientific Publishing.
• Yu K, Jiang X, & Bunke H. (1997). Lipreading using Fourier transform over time. In Proc. Of the 7th Int. Conference on Computer Analysis of Images and Patterns , p. 1296.
• Jiang X. (1997). Optimality analysis of edge detection algorithms for range images. In The 9th Int. Conf. on Image Analysis and Processing Image Analysis and Processing , Florence, Italy , pp. 182–189.
• Achermann B, Jiang X, & Bunke H. (1997). Face recognition using range images. In Int. Conf. on Virtual Systems and MultiMedia, Geneva, Switzerland , pp. 129–136.
• Achermann B, Peleg R, Jiang X, Bunke H, Feinendegen D, Brühlmann Y, & Tschopp H. (1997). Computer-based assistance of surgeons in the judgment of Mechatronics, Tokyo, plastic nose surgeries (rhinoplasty). In IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Tokyo.
• Sobottka K, Jiang X, & Bunke H. (1997). Spatiotemporal segmentation of range image sequences into planar surface patches for collision avoidance. In 30th Int. Symposoium on Automotive Technology & Automation: Robotics, Florence , pp. 69–76.
• Yu K, Jiang X, & Bunke H. (1997). Lipreading: A classifer combination approach. Pattern Recognition Letters, 18(11), 1421–1426.

1996

• Jiang X, Meier U, & Bunke H. (1996). Schnelle Segmentierung von Tiefenbildern. In 18th German Pattern Recognition Symposium (DAGM) , S. 400–407. Heidelberg: Springer-Verlag.
• Yu K, Jiang X, & Bunke H. (1996). Robust facial profile recognition. In 3rd Int. Conf. on Image Processing, Lausanne , pp. 491–494.
• Jiang X, & Bunke H. (1996). Including geometry in graph representations: A quadratictime graph isomorphism algorithm and its applications. In Advances in Structural and Syntactical Pattern Recognition (P. Perner , pp. 110–119.
• Jiang X, & Bunke H. (1996). Robust and fast edge detection and description in range images. In IAPR Workshop on Machine Vision Applications, Tokyo , pp. 538–541.
• Jiang X, Meier U, & Bunke H. (1996). Fast range image segmentation using high-level segmentation primitives. In Third IEEE Workshop on Applications of Computer Vision, Sarasota, Florida , pp. 83–88.
• Jiang X, Yu K, & Bunke H. (1996). Detection of rotational and involutational symmetries and congruity of polyhedra. The Visual Computer, 12(4), 193–201.
• Hoover A, Jean-Baptiste G, Jiang X, Flynn, J P, Bunke H, Goldgof D, Bowyer K, Eggert D, Fitzgibbon A, & Fisher R. (1996). An experimental comparison of range image segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(7), 673–689.

1995

• Jiang X, & Bunke H. (1995). Exploration of object symmetries in computer vision and robotics. In Modelling and Planning for Sensor Based Intelligent Robot Systems (pp. 257–271). World Scientific Publishing.
• Bunke H, Jiang X, Ueltschi A, Meier U, & Robmann R. (1995). Model-based multisensory robot vision. In Modelling and Planning for Sensor Based Intelligent Robot Systems (pp. 289–308). World Scientific Publishing.
• Yu K, Jiang X, & Bunke H. (1995). Face recognition by facial profile analysis. In International Workshop on Automatic Face- and Gesture-Recognition, Zurich , pp. 208–213.
• Jiang X, & Bunke H. (1995). A framework of symmetry exploration in 3D object recognition. In Structure and Pattern Recognition , pp. 138–147. World Scientific.
• Yu K, Achermann B, Nyffenegger C, Jiang X, Bunke H, Schukat-Talamazzini, G E. (1995). Kombination von Frontal- und Profilanalyse menschlicher Gesichter. In 17th German Pattern Recognition Symposium (DAGM), Bielefeld , S. 327–334. Springer-Verlag.
• Hoover A, Jean-Baptiste G, Jiang X, Bunke Flynn HJ P, Goldgof D, & Bowyer K. (1995). Range image segmentation: The user's dilemma. In Int. Symposium on Computer Vision, Coral Gables, Florida , pp. 323–328.
• Jiang X, Hoover A, Jean-Baptiste G, Goldgof D, Bowyer K, & Bunke H. (1995). A methodology for evaluating edge detection techniques for range images. In 2nd Asian Conf. on Computer Vision, Singapore , pp. 415–419.
• Jiang X, & Bunke H. (1995). Line segment based axial motion stereo. Pattern Recognition, 28(4), 553–562.
• Jiang X, & Bunke H. (1995). Optimal implementation of morphological operations on neighborhood-connected parallel computers. Annals of Mathematics and Artificial Intelligence (Special issue on Formal Methods in 2-D Shape Analysis), 13(3), 301–315.

1994

• Jiang X, Meier U, & Bunke H. (1994). Scale-invariant polyhedral object recognition using fragmentary edge segments. In 12th Int. Conf. on Pattern Recognition, Jerusalem , pp. 850–853.
• Jiang X, & Bunke H. (1994). An intelligent planner for multisensory robot vision. In Pattern Recognition in Practice IV , pp. 489–500. Elsevier Science.
• Jiang X, & Bunke H. (1994). Vision planner for an multisensory vision system. In SPIE Conf. on Automatic Object Recognition IV, Orlando , pp. 226–237.
• Jiang X, & Bunke H. (1994). Fast segmentation of range images into planar regions by scan line grouping. Machine Vision and Applications, 7(2), 115–122.

1993

• Jiang X, & Bunke H. (1993). Line segment based axial motion stereo. In 7th Int. Conference on Image Analysis and Processing Progress in image analysis and processing III , Italy , pp. 497–504. World Scientific.
• Jiang X, & Bunke H. (1993). Fast extraction of planar surfaces from range images. In SPIE Conf. on Applications of Articial Intelligence: Machine Vision and Robotics, Orlando , pp. 211–221.
• Jiang X, & Bunke H. (1993). Quantization errors in active range sensing. In 8th Scand. Conf. on Image Analysis, Tromso, Norway , pp. 913–920.
• Jiang X, & Bunke H. (1993). Detection and application of polyhedral symmetry: A review. In 8th Scand. Conf. on Image Analysis, Tromso, Norway , pp. 345–352.
• Jiang X, & Bunke H. (1993). Polyhedral symmetry: Detection algorithms and application to 3-D object recognition. In Swiss Vision'93, Zurich , pp. 169–177.
• Jiang X, & Bunke H. (1993). Range data acquisition by coded structured light: Error characteristic of binary and Gray projection code. In Optical 3-D Measurement Techniques II , pp. 386–393. Wichmann Verlag.
• Jiang X, & Bunke H. (1993). An optimal algorithm for extracting the regions of a plane graph. Pattern Recognition Letters, 14(7), 553–558.

1992

• Jiang X, & Bunke H. (1992). Determining symmetry of polyhedra. In Proc.of Int. Workshop on Visual Form Visual Form: Analysis and Recognition , Capri , pp. 303–312. New York: Plenum Press.
• Jiang X, & Bunke H. (1992). Optimal vertex ordering of a graph and its application to symmetry detection. In Proc. Of the 17th International Workshop WG'91 , pp. 148–158. Springer-Verlag.
• Jiang X, & Bunke H. (1992). Efficient computation of moments by recursion. In 6th Int. Conference on Image Analysis and Processing - Progress in Image Analysis and Processing II , Como, Italy , pp. 155–162. Springer-Verlag.
• Jiang X, & Bunke H. (1992). Optimal decomposition of arbitrary-shaped structuring elements into neighborhood subsets. In 17th Int. Workshop WG'91 SPIE Conf. on Applications of Artifcial Intelligence X: Machine Vision and Robotics, Orlando , pp. 724–735.
• Jiang X, & Bunke H. (1992). Eine Methode zur schnellen Segmentierung von Tiefenbildern in planare Regionen. In Proc. of 14th German Pattern Recognition Symposium (DAGM), Dresden , S. 143–150. Springer-Verlag.
• Jiang X, & Bunke H. (1992). A simple and efficient algorithm for determining the symmetries of polyhedra. Computer Vision, Graphics and Image Processing: Graphical, 54(1), 91–95.

1991

• Jiang X, & Bunke H. (1991). Ein konturbasierter Ansatz zur Berechnung von Momenten. In Proc. of 13th German Pattern Recognition Symposium (DAGM), Informatik Fachberichte 290, München , pp. 143–150. Springer-Verlag.
• Jiang X, Robmann R, & Bunke H. (1991). An application of distance transform to range image segmentation. In SPIE Conf. on Intelligent Robots and Computer Vision X: Algorithms and Techniques, Boston , pp. 110–121.
• Jiang X, & Bunke H. (1991). Determination of the symmetries of polyhedra and an application to object recognition. In Int. Workshop on Computational Geometry (CG'91) , Bern , pp. 113–121. Springer-Verlag.
• Jiang X, & Bunke H. (1991). Simple and fast computation of moments. Models and Image Processing, 24(8), 801–806.
• Jiang X, & Bunke H. (1991). On error analysis for surface normals determined by photometric stereo. Signal Processing, 23(3), 221–226.

1990

• Jiang X, & Bunke H. (1990). Recognizing 3-D objects in needle maps. In 10th Int. Conf. on Pattern Recognition, Informatik Fachberichte 251, Atlantic City, New Jersey , pp. 237–239. Springer-Verlag.
• Jiang X, & Bunke H. (1990). Erkennung von 3-D Objekten im Nadeldiagramm mithilfe von Konsistenzbedingungen. In 14th German Workshop on Arti cial Intelligence GWAI-90, Informatik Fachberichte 254 , S. 282–291. Springer-Verlag.
• Jiang X, & Bunke H. (1990). Detektion von Symmetrien polyedrischer Objekte. In 12th German Pattern Recognition Symposium (DAGM), Informatik Fachberiche 254 , pp. 225–231.

1989

• Glauser T, Gmür E, Jiang X, & Bunke H. (1989). Deductive generation of vision representations from CAD-models. In 6th Scand. Conf. on Image Analysis, Oulu, Finland , pp. 645–651.
• Jiang X, & Bunke H. (1989). Recognition of overlapping convex objects using interpretation tree search and EGI matching. In SPIE Conf. on Applications of Digital Image Processing XII, San Diego , pp. 611–620.
• Jiang X, & Bunke H. (1989). Segmentation of the needle map of objects with curved surfaces. Pattern Recognition Letters, 10(3), 181–187.

1988

• Jiang X, & Bunke H. (1988). Segmentierung von Nadeldiagrammen von Objekten mit gekrümmten Obeächen. In 10th German Pattern Recognition Symposium (DAGM), Informatik Fachbereichte 180, Zürich , S. 255–261. Springer-Verlag.