Databases

Here you can find some databases used in our resarch.

  • Muenster BarcodeDB

    Download

    Muenster BarcodeDB is a collection of more than 1000 Pictures of barcodes, taken with a mobile phone. Please refer to readme.html, if you want to use this data in your research.

  • PedestrianLights

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    PedestrianLights is a collection of several videos for the detection of pedestrian traffic lights. Please refer to index.html, if you want to use this data in your research.

  • LCD2A

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    The collision database (called Larvae Collision Dataset 2 Animals; short: LCD2A) contains 1352 image sequences with approximately 159300 individual images resulting from an interaction analysis (collisions) experiment of Drosophila larvae. The images were acquired by utilizing the FIM2c setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • Risse B., Otto N., Berh D., Jiang X., Kiel M., Klambt C. 2017. "FIM2c: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior." IEEE Transactions on Biomedical Engineering 64, No. 3:610-620
    • Otto N, Risse B, Berh D, Bittern J, Jiang X, Klämbt C. 2016. "Interactions among Drosophila larvae before and during collision." Scientific Reports 11, No. 6: 31564
  • LCD2t3

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    This dataset (called "Larvae Collision Dataset 2 to 3" or LCD2t3) represents a refined Version of the original collision database LCD2A resulting from an interaction analysis (collisions) experiment of Drosophila larvae. The images were acquired by utilizing the FIM2c setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • Michels T, Berh D, Jiang X. 2018. "An RJMCMC-based method for tracking and resolving collisions of Drosophila Larvae." IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018 [Epub ahead of print].
  • LCDseg

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    This dataset (called : Larvae Collision Dataset with Segmentation) represents a collection of colliding Drosophila larvae sequences from the LCD2t3 dataset, where ten 2-larvae collision videos are randomly selected with 1-10, 11-20, . . . , 41-50, and >50 frames, together with nine 3-larvae collision sequences. In total, this dataset contains 69 videos and 2336 frames. All larvae in these frames were manually segmented. For further information please refer to

    • The "readme.txt" file included in the archive
    • 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), p. 1184-1194.
  • Heartbeat

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    The heartbeat database contains 39 image sequences with approximately 52700 individual images showing an (irregular) heartbeat of Drosophila melanogaster pupae. The images were acquired by utilizing the FIM setup. For further information please refer to

    • The "readme.txt" file included in the archive
    • 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

     

Voreen

Voreen is an open source rapid application development framework for the interactive visualization and analysis of multi-modal volumetric data sets. It provides GPU-based volume rendering and data analysis techniques and offers high flexibility when developing new analysis workflows in collaboration with domain experts. The Voreen framework consists of a multi-platform C++ library, which can be easily integrated into existing applications, and a Qt-based stand-alone application. It is licensed under the terms of the GNU General Public License. More...

 

Distance-preserving vector space embedding for generalized median based consensus learning

Learning a consensus object from a set of given objects is a core problem in machine learning and pattern recognition. One example is text recognition, where the use of different algorithms or parameters result in different recognized texts. Consensus learning would result in one text which hopefully includes less errors than each single result.

One method to calculate this result is generlized median calculation. The generalized median of a set of objects is a new object which has the smallest sum of distances to all objects in the set. The calculation of the generalized median is often NP-Hard, for example using strings with the string edit distance. Therfore, approximative solutions are needed. More...

Barista - A Graphical Tool for Designing and Training Deep Neural Networks

Barista is an open-source graphical high-level interface for the Caffe deep learning framework written in Python. While Caffe is one of the most popular frameworks for training DNNs, editing prototxt files in order to specify the net architecture and hyper parameters can become a cumbersome and error-prone task. Instead, Barista offers a fully graphical user interface with a graph-based net topology editor. More...

 

Vampire - Variational Algorithm for Mass-Preserving Image REgistration

Vampire is a mass-preserving image registration approach. Our main area of application is motion correction in gated positron emission tomography (PET) of the human heart. Intensity modulations caused by the highly non-rigid cardiac motion are considered by means of a mass-preserving transformation model. Vampire is highly robust against noise due to hyperelastic regularization and leads to accurate and realistic motion estimates. More...

 

Ultracept

This primary objective of this EU-funded project is to develop a trustworthy multi-modal vehicle collision detection system inspired by animals’ visual brain via trans-institutional collaboration. More...

Projects and Publications

 

 
  • Projects

    In Process
    • InterKI – Interdisziplinäres Lehrprogramm zu maschinellem Lernen und künstlicher Intelligenz ()
      Individual Granted Project: Federal Ministry of Education and Research | Project Number: 16DHBKI049
    • EXFP-MML – SPP 2363 - Subproject: Elucidating Fingerprints – Towards a Holistic Explanatory Toolbox for Molecular Machine Learning ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Priority Programme | Project Number: GL 349/15-1; JI 104/10-1
    • Al-based Medical Image Analysis and AR-based Surgical Navigation for Craniomaxillofacial Surgery ()
      Individual Granted Project: Sino-German Center for Research Promotion | Project Number: M-0019
    • CRC 1450 Z01 - Interactive and computational analysis of large multiscale imaging data ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research Centre | Project Number: SFB 1450/1, Z01
    Finished
    • ULTRACEPT – Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance ()
      EU-Project Hosted outside the University of Münster: EC H2020 - Marie Skłodowska-Curie Actions - Research and Innovation Staff Exchange | Project Number: 778062
    • DAAD Programm des projektbezogenen Personenaustausches Taiwan 2021-2023 ()
      Individual Granted Project: DAAD - Programm des projektbezogenen Personenaustauschs mit verschiedenen Partnerländern | Project Number: 57560795
    • Projektbezogener Personenaustausch Indien DST 2020 ()
      Individual Granted Project: DAAD - Programm des projektbezogenen Personenaustauschs mit verschiedenen Partnerländern | Project Number: 57520543
    • AutoML-Methoden und Tools für die praktische Anwendung von Deep Learning ()
      Individual Granted Project: Förderkreis der Angewandten Informatik an der Universität Münster e. V.
    • Computer-assisted 3D analysis of OCT angiography for AMD patients ()
      Individual Granted Project: Dr. Werner Jackstädt-Stiftung
    • EXIST-Gründerstipendium: ApoFunk ()
      Individual Granted Project: BMWK - EXIST Business Start-up Grant | Project Number: 03EGSNW580
    • EXC 1003 C5 - Whole-Body Imaging of Awake Organisms ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence | Project Number: EXC1003/1
    • EXC 1003 A6 - Motion Analysis in Cellular Systems ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence | Project Number: EXC1003/1
    • EXC 1003 FF-2016-06 - FIM4D: Automated FIM-based in-vial activity monitoring and tracking for locomotion analysis of Drosophila larvae ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence
    • INEMAS – Verbundprojekt: Grundlagen Interaktions- und emotionssensitiver Assistenzsysteme - Teilvorhaben: Videobasierte Erkennung von Emotionen und sozialer Interaktion für Fahrerassistenzsysteme ()
      participations in bmbf-joint project: Federal Ministry of Education and Research | Project Number: 16SV7236
    • CRC 656 B03 - Quantification in high-resolution dynamic PET-MR imaging for analysis of small structures ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research Centre | Project Number: INST211/324-1
    • HAZCEPT – Towards zero road accidents - nature inspired hazard perception ()
      EU-Project Hosted outside the University of Münster: EC FP 7 - Marie Curie Actions - International Research Staff Exchange Scheme | Project Number: 318907
    • EXC 1003 FF-2013-03 - Analysis of new actin regulators controlling cell shape, cell dynamics and cell polarity in Drosophila hemocytes ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence
    • EXC 1003 FF-2013-16 - PET imaging of freely moving mice ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Cluster of Excellence
    • Positron Emission Tomography of non-anesthetized freely-moving mice ()
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: DA 1064/3-1
    • Study on profit mode of the sustainable development of the village banks based on pattern recognition techniques ()
      Individual Granted Project: DFG - Initiation of International Collaboration | Project Number: JI 104/5-1
    • An Assistive System for Diagnosing Cardiovascular Diseases ()
      participations in other joint project: German Academic Exchange Service | Project Number: 56233789
    • GCPR – 36th German Conference on Pattern Recognition ()
      Scientific Event: Deutsche Arbeitsgemeinschaft für Mustererkennung e.V.
    • SFB 656 C03 – CRC 656 C03 - Ultrasound-based molecular imaging ()
      Subproject in DFG-Joint Project Hosted at the University of Münster: DFG - Collaborative Research Centre
    • IRTG-SIGI – IRTG 1498 - Semantic Integration of Geospatial Information ()
      Main DFG-Project Hosted at the University of Münster: DFG - International Research Training Group | Project Number: GRK 1498/1
    • DAAD Austauschprogramm: PPP Taiwan - Design of Clinical Decision System for Diagnosis of Glaucoma ()
      participations in other joint project: German Academic Exchange Service | Project Number: 50751752
    • Erstellung einer Software zur Untersuchung der dreidimensionalen Wahrnehmungsfähigkeit von Kindern ()
      Individual Granted Project: Kantonsspital St. Gallen, Schweiz
    • Multiple classifiers ensemble for customer relationship management ()
      Individual Granted Project: DFG - Individual Grants Programme | Project Number: 567919
    • Tagung CAIP 2009 in Münster (02. - 04.09.2009) ()
      Scientific Event: Participation / conference fees
    • Projektbezogener Personenaustausch mit Hongkong ()
      participations in other joint project: German Academic Exchange Service | Project Number: D/09/00805
  • Publications

    • Tu P, Ye H, Shi H, Young J, Xie M, Zhao P, Zheng C, Jiang X, Chen X. (). Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network. Information Fusion, 113, 102604.
    • Xiao J, Li Y, Tian Y, Jiang X, Wang Y, Wang S. (). Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model. Journal of Business Research, 186, 114914.
    • Zhang J, Jiang X. (). Evolutionary training set pruning for boosting interpolation kernel machines. In Pattern Recognition Applications and Methods. [accepted / in Press (not yet published)]
    • Xu J, Gao J, Jiang S, Wang C, Smedby Ö, Wu Y, Jiang X, Chen X. (). Automatic segmentation of bone graft in maxillary sinus via distance constrained network guided by prior anatomical knowledge. IEEE Journal of Biomedical and Health Informatics. [accepted / in Press (not yet published)]

    • Xiao J, Zhong Y, Jia Y, Wang Y, Jiang X, Wang S. (). 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. (). 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. (). 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. (). Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images. npj Imaging, 2, 6.
    • Zhang J, Jiang X. (). 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. Setúbal: SciTePress.
    • Hegselmann S, Shen Z, Gierse F, Agrawal M, Sontag D, Jiang X. (). A data-centric approach to generate faithful and high quality patient summaries with large language models. In N.A. (Ed.): Conference on Health, Inference, and Learning (CHIL) , pp. 339–379. New York: MLResearchPress.
    • Rexeisen R, Jiang X. (). Challenging the robustness of image registration similarity metrics with adversarial attacks. In M. Modat, I. Simpson, Ž. Špiclin, W. Bastiaansen, A. Hering, T.C.W. Mok (Eds.): Biomedical Image Registration , pp. 112–126. Heidelberg: Springer.
    • Zhang J, Liu CL, Jiang X. (). Polynomial kernel learning for interpolation kernel machines with application to graph classification. Pattern Recognition Letters, 186, 7–13.
    • Manongga WC, Chen RC, Jiang X. (). Enhancing road marking sign detection in low-light conditions with YOLOv7 and contrast enhancement techniques . International Journal of Applied Science and Engineering, 21(3), 2023515.
    • Zhang J, Jiang X. (). Regularization of interpolation kernel machines. In Proc. of ICPR. [accepted / in Press (not yet published)]
    • Rezaei S, Jiang X. (). Superpixel-based sparse labeling for efficient and certain medical image annotation. In Proc. of ICPR. [accepted / in Press (not yet published)]
    • Duhme C, Lippe C, Voerr V, Jiang X. (). Transformer-based parameter fitting of models derived from Bloch-McConnell Equations for CEST MRI analysis. In Xu X, Cui Z, Rekik I, Ouyang X, Sun K (Eds.): Proc. of MLMI@MICCAI , pp. 108–116. New York City: Springer Publishing.
    • Leenings R, Konowski M, Winter NR, Ernsting J, Fisch L, Barkhau C, Dannlowski U, Lügering A, Jiang X, Hahn T. (). C-TRUS: A novel dataset and initial benchmark for colon wall segmentation in transabdominal ultrasound . In Gómez A, Khanal V, King AP, Namburete AL (Eds.): Proc. of ASMUS@MICCAI , pp. 101–111. New York City: Springer Publishing.
    • Oehm JB, Wenning O, Storck M, Jiang X, Varghese F. (). Automatic extraction of medication data from semi-structured prescriptions. In Proc. of MIE. [accepted / in Press (not yet published)]
    • Kara AC, Rana D, Glorius F, Jiang X. (). ChemGraph Explainer: A graphical user interface for explaining predictions of graph neural networks in chemistry. In Proc. of ECML Workshop ML4CCE. [accepted / in Press (not yet published)]
    • Steinhorst Phil, Duhme Christof, Jiang Xiaoyi, Vahrenhold Jan. (). 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: ACM Press. doi: 10.1145/3626252.3630915.

    • Dewi C, Chen RC, Yu H, Jiang X. (). 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. (). 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. (). 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). 206th Ed. , pp. 5549–5581. 2023: MLResearchPress.
    • Tistarelli M, Dubey SR, Singh SK, Jiang X (Eds.). (). Computer Vision and Machine Intelligence. Berlin. Springer Nature.
    • Eilers F, Jiang X. (). Building blocks for a complex-valued transformer architecture. In N/A (Ed.): Proc. of ICASSP , pp. 1–5. New York City: Wiley-IEEE Press.
    • Xiao J, Tian Y, Jia Y, Jiang X, Yu L, Wang S. (). 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. (). 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. (). 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. (). 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). Heidelberg: Springer.
    • Zhang J, Liu CL, Jiang X. (). 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. Heidelberg: Springer.
    • Jiang X, Nienkötter A. (). 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. Heidelberg: Springer.
    • Kuhlmann F, Rothaus K, Jiang X, Faatz H, Pauleikhoff D, Gutfleisch M. (). 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. (). XAI for image captioning using SHAP . Journal of Information Science and Engineering, 39, 711–724.

    • Zhang J, Liu CL, Jiang X. (). 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. Berlin: Springer Nature.
    • Elischberger F, Bamberg B, Jiang X. (). Deep learning based detection of segregations for ultrasonic testing. IEEE Transactions on Instrumentation and Measurement, 71.
    • Sandmann S, Richter S, Jiang X, Varghese J. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. Berlin: Springer Nature.
    • Dewi C, Chen RC, Jiang X, Yu H. (). 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. (). 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. (). 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. Berlin: Springer Nature.
    • Chen A, Wang S, Jiang X, Yan S, Bian A, Xu W, Zeng J, Deng T. (). Optical aerosol sizing method without prior refractive index. Measurement, 204, 112072.
    • Gupta S, Singh SK, Jiang X. (). 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. (). Eye aspect ratio for real-time drowsiness detection to improve driver safety. Electronics, 11(19), Article 3183. doi: 10.3390/electronics11193183.
    • Dewi C, Chen RC, Jiang X, Yu H. (). Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks. PeerJ Computer Science, 8, e943.

    • 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. (). 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. (). 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. (). 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. (). 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. (). PHOTONAI - A Python API for rapid machine learning model development. PloS one, 16(7), e0254062.
    • Winter D, Bian A, Jiang X. (). 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. (). 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. (). 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. (). 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.
    • Bian A, Jiang X, Berh D, Risse B. (). 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. (). 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. (). 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. (). 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. (). Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures. iScience, 24(6), 102650.
    • Jiang X. (). 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. (). 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. (). 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.
    • 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. (). Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression. Neuropsychopharmacology, 46, 1510–517. doi: 10.1038/s41386-021-01020-7.

    • Moreno-García CF, Serratosa F, Jiang X. (). 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. (). Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognition, 106, 107373.
    • Zhang L, Zhang JZ, Jiang X, Liang B. (). 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. (). 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. (). 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. (). A hybrid classification framework based on clustering. IEEE Transactions on Industrial Informatics, 16(4), 2177–2188.
    • Nienkötter A, Jiang X. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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.

    • Chen X, Hu Y, Zhang Z, Wang B, Zhang L, Shi F, Chen X, Jiang X. (). 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.). (). Pattern Recognition. Düsseldorf. Springer VDI Verlag.
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    • Chen, -F Y, Huang, -F Y, Jiang X, Hsu, -N Y, Lin, -H H. (). 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. (). 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. (). 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. (). 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. (). Graph-based registration of partial images of city maps using geometric hashing. In Proc. Of GbR, Venice , pp. 92–101.
    • Fieseler M, Jiang X. (). Registration of depth and video data in depth image based rendering. In 3DTV Conference, Potsdam.
    • Stadelmann R, Jiang X, Mojon, S D. (). 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. (). 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. (). 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. (). 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. (). Structure identifcation by Bayesian classifers based on GMDH. Knowledge-Based Systems, 22(6), 461–470.
    • Rothaus K, Rhiem P, Jiang X. (). 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. (). Matching of tree structures for registration of medical images. Image and Vision Computing, 27(7), 923–933.

    • Mohammad Dawood. (). Respiratory Motion Correction on 3D Positron Emission Tomography Images. (Dissertation thesis). Universität Münster.
    • Dawood M, Kösters T, Fieseler M, Büther F, Jiang X, Wübbeling F, Schäfers KP. (). Motion correction in respiratory gated cardiac PET/CT using multi-scale optical flow. , pp. 155–162. doi: 10.1007/978-3-540-85990-1_19.
    • Jiang X, Chen, -F Y. (). Facial image processing. In Applied Pattern Recognition (pp. 29–48). Düsseldorf: Springer VDI Verlag.
    • Wattuya P, Jiang X. (). Ensemble combination for solving the parameter selection problem in image segmentation. In Proc. of SSPR, Orlando , pp. 392–401.
    • Rothaus K, Jiang X. (). Constrained clustering by a novel graph-based distance transformation. In Proc. of ICPR, Tampa, Florida.
    • Wachenfeld S, Terlunen S, Jiang X. (). Robust recognition of 1-D barcodes using camera phones. In Proc. of ICPR, Tampa, Florida.
    • Rothaus S, Rothaus K, Jiang X. (). Synthesizing 3D videos by a motion-conditioned background mosaic. In Proc. of ICPR, Tampa, Florida.
    • Wattuya P, K Rothaus, , Paßni, -S J, Jiang X. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). DocXS Distributed operator construction and execution system. Pattern Recognition and Image Analysis, 18(2), 328–331.
    • Kriegbaum-Stehberger B, Jiang X, Mojon, S D. (). 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.

    • Schmid P, Lunkenheimer, P P, Redmann K, Rothaus K, Jiang X, Cryer C, Jaermann T, Niederer P, Boesiger P, , H R, erson,. (). 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.
    • Lewin S, Clausing A, Jiang X. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). 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. (). Matching of tree structures for registration of medical images. In Proc. of GbR, Alicante, Spain , pp. 13–24.
    • Rothaus K, Rhiem P, Jiang X. (). 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. (). Matching von Baumstrukturen: Zuordnung von Gefäßsystemen aus Leber und Lunge. In Workshop Bildverarbeitung für die Medizin, Munich.
    • Weinhold A, Jiang X. (). Vollautomatische Rekonstruktion von Bildern histologischer Stufenschnitte der Rattenleber. In Workshop Bildverarbeitung für die Medizin, Munich.

    • Dawood M, Lang N, Jiang X, Schäfers K. (). 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. (). Finding common protein interaction patterns across organisms. Evolutionary Bioinformatics, 2, 45–52.
    • Jiang X, Marti C, Irniger C, Bunke H. (). 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. (). 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. (). 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. (). 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,. (). 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.). (). Advances in Machine Vision, Image Processing, and Pattern Analysis. Düsseldorf. Springer VDI Verlag.
    • Cheng D, Jiang X. (). 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. (). 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. (). 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. (). 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. (). 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. (). A class of generalized median contour problem with exact solution. In Proc. of SSPR, Hong Kong , pp. 109–117.
    • Jiang X, Lambers M. (). 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. (). Applications of autostereoscopic displays in opthalmologic studies. In IEEE Int. Conf. on Multimedia & Expo (ICME), Toronto , pp. 1993–1996.
    • Jiang X, Cheng D. (). 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. (). 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. (). 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. (). 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. (). An approach to perceptual shape matching. In Proc. of VISUAL, Amsterdam , pp. 109–120.

    • Jiang X. (). Performance evaluation of image segmentation algorithms. In Handbook of Pattern Recognition and Computer Vision (pp. 525–542). Singapore: World Scientific Publishing.
    • Schär S, Bieri H, Jiang X. (). Digital restoration of medieval tapestries. In The 6th Int. Symposium on Virtual Reality, Archaeology and Culture Heritage, Pisa.
    • Rothaus K, Jiang X. (). Multi-scale segmentation of the vascular tress in retical images. In 3rd European Medical & Biological Engineering Conference - EMBEC'05 , Prague.
    • Jiang X, Cheng D. (). 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. (). Image segmentation evaluation by techniques of comparing clusterings. In Proc. of ICIAP , pp. 344–351.
    • Rothaus K, Jiang X. (). Multi-scale midline extraction using creaseness. In Proc. of ICAPR, Bath, UK , pp. 502–511.
    • Jiang X, Cheng D. (). 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.

    • Mojon-Azzi, M S, Jiang X, Wagner U, Mojon D. (). Redundant publications in scientific ophthalmologic journals - the top of the iceberg? . Ophthalmology, 111(5), 863–866.
    • Jiang X, Bunke H, Csirik J. (). Median strings: A review. In Data Mining in Time Series Databases (pp. 173–192). Singapore: World Scientific Publishing.
    • Jiang X, Bieri H. (). 3D imaging and applications. In Integrated Image and Graphics Technologies (pp. 331–349). Dordrecht: Kluwer Academic.
    • Dawood M, Jiang X, Schäfers K. (). 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. (). Eficient error concealment using best neighborhood matching and genetic algorithms. In Asian Conference on Computer Vision , pp. 1158–1163.

    • Breyer A, Jiang X, Rütsche A, Mojon D. (). A new objective visual acuity test: An automated preferential looking. Klinische Monatsbl¨atter Augenheilkunde, 220, 93–95.
    • Jiang X, Mojon D. (). 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. (). Dynamic computation of generalized median strings. Pattern Analysis and Applications, 6(3), 185–193.
    • Rütsche A, Baumann A, Jiang X, Mojon D. (). Automated analysis of eye tracking movements. Ophthalmologica, 217, 320–324.
    • Bunke H, Jiang X. (). Weighted mean and generalized median of strings. In Pattern Recognition and String Matching (pp. 295–314). Dordrecht: Kluwer Academic.

    • Mojon-Azzi, M S, Jiang X, Wagner U, Mojon D. (). Ophthalmology ,,made in Switzerland"": Swiss papers listed in Medline. Klinische Monatsblätter Augenheilkunde, 219, 866–871.
    • Bunke H, Jiang X, Abegglen K, Kandel A. (). On the weighted mean of a pair of strings. Pattern Analysis and Applications, 5(1), 23–30. doi: 10.1007/s100440200003.
    • Jiang X, Hofer S, Stahs T, Ahrns I, Bunke H. (). A new technique for the extraction and tracking of surfaces in range image sequences. In Sensor Based Intelligent Robots (pp. 89–100). Düsseldorf: Springer VDI Verlag.
    • Jiang X, Bunke H, Abegglen K, K A, el,. (). Curve morphing by weighted mean of strings. In 16th Int. Conf. on Pattern Recognition, Quebec City, Canada , pp. 192–195.
    • Jiang X, Mojon D. (). 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. (). Optimal lower bound for generalized median problems in metric space. In Structural, Syntactic and Statistical Pattern Recognition.
    • Jiang X, Irniger C, Bunke H. (). Training/test data partitioning for empirical performance evaluation. In Empirical Evaluation Methods in Computer Vision , pp. 23–37. Singapore: World Scientific Publishing.

    • Jiang X, Münger A, Bunke H. (). 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. (). Sentence lipreading using hidden markov model with integrated grammar. International Journal of Pattern Recognition and Artificial Intelligence, 15(1), 161–176.
    • Bunke H, Günter S, Jiang X. (). 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). Düsseldorf: Springer VDI Verlag.
    • Jiang X, Mojon D. (). Blood vessel detection in retinal images by shape-based multi-threshold probing. In Pattern Recognition , pp. 38–44. Heidelberg: Springer.
    • Jiang X, Mojon D. (). Filtering duplicate publications in bibliographic databases. In The First Int. Workshop on New Developments in Digital Libraries, Setubal, Portugal , pp. 79–88.

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

    • Jiang X, Bunke H. (). Optimal vertex ordering of graphs. Information Processing Letters, 72(5), 149–154.
    • Yu K, Jiang X, Bunke H. (). Lipreading using signal analysis over time. Signal Processing, 77(2), 195–208.
    • Bunke H, Münger A, Jiang X. (). 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. (). Edge detection in range images based on scan line approximation. Computer Vision and Image Understanding, 73(2), 183–199.
    • Jiang X, Bunke H. (). Optimal quadratic-time isomorphism of ordered graphs. Pattern Recognition, 32(7), 1273–1283.
    • Jiang X. (). Recent advances in range image segmentation. In Sensor Based Intelligent Robots (pp. 272–286). Düsseldorf: Springer VDI Verlag.
    • Jiang X, Münger A, Bunke H. (). 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. (). 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. (). 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. (). 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. (). Marked subgraph isomorphism of ordered graphs. In Advances in pattern recognition (Sydney, 1998) (pp. 122–131). Düsseldorf: Springer VDI Verlag. doi: 10.1007/BFb0033230.
    • Jiang X, Bunke H. (). On the coding of ordered graphs. Computing, 61(1), 23–38. doi: 10.1007/BF02684448.
    • Jiang X, Bunke H. (). Performance assessment of edge-based range image segmentation. In Sameer Singh (Ed.): International Conference on Advances in Pattern Recognition - Proceedings of ICAPR ’98 , pp. 83–92. Heidelberg: Springer. doi: 10.1007/978-1-4471-0833-7.
    • Achermann B, Zumstein M, Jiang X, Bunke H. (). 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. (). Towards detection of glasses in facial images. In 14th Int. Conf. on Pattern Recognition, Bisbane, Australia , pp. 1071–1073.
    • Jiang X, Bunke H. (). Marked subgraph isomorphism of ordered graphs. In Advances in Pattern Recognition , pp. 122–131. Heidelberg: Springer.
    • Jiang X, Bunke H. (). 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. (). 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. (). Comparing curved-surface range image segmenters. In The 6th Int. Conf. on Computer Vision, Bombay, India , pp. 286–291.

    • Yu K, Jiang X, Bunke H. (). Lipreading: A classifer combination approach. Pattern Recognition Letters, 18(11), 1421–1426.
    • Jiang X, Bunke H. (). Three-Dimensional Computer Vision: Acquisition and Analysis of Range Images (in German). Düsseldorf. Springer VDI Verlag.
    • Jiang X, Bunke H, Meier U. (). Towards (quasi) real-time range image segmentation. In Intelligent Robots: Sensing Modeling and Planning (pp. 149–163). Singapore: World Scientific Publishing.
    • Yu K, Jiang X, Bunke H. (). Lipreading using Fourier transform over time. In Proc. Of the 7th Int. Conference on Computer Analysis of Images and Patterns , p. 1296.
    • Jiang X. (). 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. (). 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. (). 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. (). 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.

    • Jiang X, Yu K, Bunke H. (). 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. (). An experimental comparison of range image segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(7), 673–689.
    • Jiang X, Meier U, Bunke H. (). Schnelle Segmentierung von Tiefenbildern. In 18th German Pattern Recognition Symposium (DAGM) , S. 400–407. Heidelberg: Springer.
    • Yu K, Jiang X, Bunke H. (). Robust facial profile recognition. In 3rd Int. Conf. on Image Processing, Lausanne , pp. 491–494.
    • Jiang X, Bunke H. (). 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. (). 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. (). 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, Bunke H. (). Line segment based axial motion stereo. Pattern Recognition, 28(4), 553–562.
    • Jiang X, Bunke H. (). 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.
    • Jiang X, Bunke H. (). Exploration of object symmetries in computer vision and robotics. In Modelling and Planning for Sensor Based Intelligent Robot Systems (pp. 257–271). Singapore: World Scientific Publishing.
    • Bunke H, Jiang X, Ueltschi A, Meier U, Robmann R. (). Model-based multisensory robot vision. In Modelling and Planning for Sensor Based Intelligent Robot Systems (pp. 289–308). Singapore: World Scientific Publishing.
    • Yu K, Jiang X, Bunke H. (). Face recognition by facial profile analysis. In International Workshop on Automatic Face- and Gesture-Recognition, Zurich , pp. 208–213.
    • Jiang X, Bunke H. (). A framework of symmetry exploration in 3D object recognition. In Structure and Pattern Recognition , pp. 138–147. Singapore: World Scientific Publishing.
    • Yu K, Achermann B, Nyffenegger C, Jiang X, Bunke H, Schukat-Talamazzini, G E. (). Kombination von Frontal- und Profilanalyse menschlicher Gesichter. In 17th German Pattern Recognition Symposium (DAGM), Bielefeld , S. 327–334. Heidelberg: Springer.
    • Hoover A, Jean-Baptiste G, Jiang X, Bunke Flynn HJ P, Goldgof D, Bowyer K. (). 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. (). 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. (). Fast segmentation of range images into planar regions by scan line grouping. Machine Vision and Applications, 7(2), 115–122.
    • Jiang X, Meier U, Bunke H. (). Scale-invariant polyhedral object recognition using fragmentary edge segments. In 12th Int. Conf. on Pattern Recognition, Jerusalem , pp. 850–853.
    • Jiang X, Bunke H. (). An intelligent planner for multisensory robot vision. In Pattern Recognition in Practice IV , pp. 489–500. Amsterdam: Elsevier.
    • Jiang X, Bunke H. (). Vision planner for an multisensory vision system. In SPIE Conf. on Automatic Object Recognition IV, Orlando , pp. 226–237.

    • Jiang X, Bunke H. (). An optimal algorithm for extracting the regions of a plane graph. Pattern Recognition Letters, 14(7), 553–558.
    • Jiang X, Bunke H. (). 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. Singapore: World Scientific Publishing.
    • Jiang X, Bunke H. (). 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. (). Quantization errors in active range sensing. In 8th Scand. Conf. on Image Analysis, Tromso, Norway , pp. 913–920.
    • Jiang X, Bunke H. (). Detection and application of polyhedral symmetry: A review. In 8th Scand. Conf. on Image Analysis, Tromso, Norway , pp. 345–352.
    • Jiang X, Bunke H. (). Polyhedral symmetry: Detection algorithms and application to 3-D object recognition. In Swiss Vision'93, Zurich , pp. 169–177.
    • Jiang X, Bunke H. (). 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. Berlin: Herbert Wichmann-Verlag.

    • Jiang X, Bunke H. (). A simple and efficient algorithm for determining the symmetries of polyhedra. Computer Vision, Graphics and Image Processing: Graphical, 54(1), 91–95.
    • Jiang XY, Bunke H. (). Optimal vertex ordering of a graph and its application to symmetry detection. In Graph-theoretic concepts in computer science (Fischbachau, 1991) (pp. 148–158). Düsseldorf: Springer VDI Verlag.
    • Jiang X, Bunke H. (). Determining symmetry of polyhedra. In Proc.of Int. Workshop on Visual Form Visual Form: Analysis and Recognition , Capri , pp. 303–312. New York City: Plenum Press.
    • Jiang X, Bunke H. (). Optimal vertex ordering of a graph and its application to symmetry detection. In Proc. Of the 17th International Workshop WG'91 , pp. 148–158. Heidelberg: Springer.
    • Jiang X, Bunke H. (). 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. Heidelberg: Springer.
    • Jiang X, Bunke H. (). 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. (). Eine Methode zur schnellen Segmentierung von Tiefenbildern in planare Regionen. In Proc. of 14th German Pattern Recognition Symposium (DAGM), Dresden , S. 143–150. Heidelberg: Springer.

    • Jiang X, Bunke H. (). Simple and fast computation of moments. Models and Image Processing, 24(8), 801–806.
    • Jiang X, Bunke H. (). On error analysis for surface normals determined by photometric stereo. Signal Processing, 23(3), 221–226.
    • Jiang XY, Bunke H. (). Determination of the symmetries of polyhedra and an application to object recognition. In Computational geometry---methods, algorithms and applications (Bern, 1991) (pp. 113–121). Düsseldorf: Springer VDI Verlag.
    • Jiang X, Bunke H. (). Ein konturbasierter Ansatz zur Berechnung von Momenten. In Proc. of 13th German Pattern Recognition Symposium (DAGM), Informatik Fachberichte 290, München , pp. 143–150. Heidelberg: Springer.
    • Jiang X, Robmann R, Bunke H. (). 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. (). Determination of the symmetries of polyhedra and an application to object recognition. In Int. Workshop on Computational Geometry (CG'91) , Bern , pp. 113–121. Heidelberg: Springer.

    • Jiang X, Bunke H. (). Recognizing 3-D objects in needle maps. In 10th Int. Conf. on Pattern Recognition, Informatik Fachberichte 251, Atlantic City, New Jersey , pp. 237–239. Heidelberg: Springer.
    • Jiang X, Bunke H. (). 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. Heidelberg: Springer.
    • Jiang X, Bunke H. (). Detektion von Symmetrien polyedrischer Objekte. In 12th German Pattern Recognition Symposium (DAGM), Informatik Fachberiche 254 , pp. 225–231.

    • Jiang X, Bunke H. (). Segmentation of the needle map of objects with curved surfaces. Pattern Recognition Letters, 10(3), 181–187.
    • Glauser T, Gmür E, Jiang X, Bunke H. (). Deductive generation of vision representations from CAD-models. In 6th Scand. Conf. on Image Analysis, Oulu, Finland , pp. 645–651.
    • Jiang X, Bunke H. (). 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. (). Segmentierung von Nadeldiagrammen von Objekten mit gekrümmten Obeächen. In 10th German Pattern Recognition Symposium (DAGM), Informatik Fachbereichte 180, Zürich , S. 255–261. Heidelberg: Springer.