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2025

• Tu, ., Ye, ., Shi, ., Young, ., Xie, ., Zhao, ., Zheng, ., Jiang, . and Chen, ., 2025. Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network: Information Fusion, 113, p. 102604.
• Xiao, ., Li, ., Tian, ., Jiang, ., Wang, . and Wang, ., 2025. Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model: Journal of Business Research, 186, p. 114914.
• Zhang, . and Jiang, ., (in press) Evolutionary training set pruning for boosting interpolation kernel machines. in: Pattern Recognition Applications and Methods
• Xu, ., Gao, ., Jiang, ., Wang, ., Smedby, ., Wu, ., Jiang, . and Chen, ., (in press) Automatic segmentation of bone graft in maxillary sinus via distance constrained network guided by prior anatomical knowledge: IEEE Journal of Biomedical and Health Informatics

2024

• Xiao, ., Zhong, ., Jia, ., Wang, ., Jiang, . and Wang, ., 2024. A novel deep ensemble model for imbalanced credit scoring in internet finance: International Journal of Forecasting, 40(1), pp. 348–372.
• Xiao, ., Wen, ., Jiang, ., Yu, . and Wang, ., 2024. Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method: Decision Support Systems, 177, p. 114090.
• Chen, ., Pi, ., Jiang, ., Xu, ., Chen, . and Wang, ., 2024. Denosieformer: A transformer based approach for single-channel EEG artifact removal: IEEE Transactions on Instrumentation and Measurement, 73, pp. 1–16.
• o, E., F, S., Z, T., U, W., P, K., V, O., F, A., T, S., B, H., M, G., X, J., L, X., J, W., D, T. and SM, L.-B., 2024. Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images: npj Imaging, 2, p. 6.
• Zhang, . and Jiang, ., 2024. Classification performance boosting for interpolation kernel machines by training set pruning using genetic algorithm. in: M. Castrillon-Santana, M.De. Marsico and A. Fred eds. Prof. of ICPRAM. Setúbal: SciTePress. pp. 428–435.
• Hegselmann, ., Shen, ., Gierse, ., Agrawal, ., Sontag, . and Jiang, ., 2024. A data-centric approach to generate faithful and high quality patient summaries with large language models. in: N.A. eds. Conference on Health, Inference, and Learning (CHIL). New York: MLResearchPress. pp. 339–379.
• Rexeisen, . and Jiang, ., 2024. Challenging the robustness of image registration similarity metrics with adversarial attacks. in: M. Modat, I. Simpson, Ž. Špiclin, W. Bastiaansen, A. Hering and T. Mok eds. Biomedical Image Registration. Heidelberg: Springer. pp. 112–126.
• Zhang, ., Liu, . and Jiang, ., 2024. Polynomial kernel learning for interpolation kernel machines with application to graph classification: Pattern Recognition Letters, 186, pp. 7–13.
• Manongga, ., Chen, . and Jiang, ., 2024. Enhancing road marking sign detection in low-light conditions with YOLOv7 and contrast enhancement techniques: International Journal of Applied Science and Engineering, 21(3), p. 2023515.
• Zhang, . and Jiang, ., (in press) Regularization of interpolation kernel machines. in: Proc. of ICPR
• Rezaei, . and Jiang, ., (in press) Superpixel-based sparse labeling for efficient and certain medical image annotation. in: Proc. of ICPR
• Duhme, ., Lippe, ., Voerr, . and Jiang, ., 2024. Transformer-based parameter fitting of models derived from Bloch-McConnell Equations for CEST MRI analysis. in: X. Xu, Z. Cui, I. Rekik, X. Ouyang and K. Sun eds. Proc. of MLMI@MICCAI. New York City: Springer Publishing. pp. 108–116.
• Leenings, ., Konowski, ., Winter, ., Ernsting, ., Fisch, ., Barkhau, ., Dannlowski, ., Lügering, ., Jiang, . and Hahn, ., 2024. C-TRUS: A novel dataset and initial benchmark for colon wall segmentation in transabdominal ultrasound . in: A. Gómez, V. Khanal, A. King and A. Namburete eds. Proc. of ASMUS@MICCAI. New York City: Springer Publishing. pp. 101–111.
• Oehm, ., Wenning, ., Storck, ., Jiang, . and Varghese, ., (in press) Automatic extraction of medication data from semi-structured prescriptions. in: Proc. of MIE
• Kara, ., Rana, ., Glorius, . and Jiang, ., (in press) ChemGraph Explainer: A graphical user interface for explaining predictions of graph neural networks in chemistry. in: Proc. of ECML Workshop ML4CCE
• Steinhorst, P., Duhme, C., Jiang, X. and Vahrenhold, J., 2024. Recognizing Patterns in Productive Failure. in: L. Battestilli, S. Rebelsky and L. Shoop eds. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. New York, NY: ACM Press. pp. 1293–1299. doi: 10.1145/3626252.3630915.

2023

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

2022

• Dewi, ., Chen, ., Jiang, . and Yu, ., 2022. Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks: PeerJ Computer Science, 8, p. e943.
• Zhang, ., Liu, . and Jiang, ., 2022. Interpolation kernel machine and indefinite kernel methods for graph classification. in: M. Yacoubi, E. Granger, P. Yuen, U. Pal and N. Vincent eds. Proc. of ICPRAI. Berlin: Springer Nature. pp. 467–479.
• Elischberger, ., Bamberg, . and Jiang, ., 2022. Deep learning based detection of segregations for ultrasonic testing: IEEE Transactions on Instrumentation and Measurement, 71
• Sandmann, ., Richter, ., Jiang, . and Varghese, ., 2022. Exploring current challenges and perspectives for automatic reconstruction of clonal evolution: Cancer Genomics and Proteomics, 19, pp. 194–204. doi: 10.21873/cgp.20314.
• Kuhlmann, ., Rothaus, ., Jiang, ., Heimes-Bussmann, ., Faatz, ., Book, . and Pauleikhoff, ., 2022. Axial stretching of vessels in the retinal vascular plexus with 3D OCT-Angiograph: Translational Vision Science & Technology, 11(2)
• Wang, ., Jiang, . and Liu, ., 2022. Query pixel guided stroke extraction with model-based matching for offline handwritten Chinese characters: Pattern Recognition, 123, p. 108416.
• Cebollada, ., Paya, ., Jiang, . and Reinoso, ., 2022. Development and use of a convolutional neural network for hierarchical appearance-based localization: Artificial Intelligence Review, 55(4), pp. 2847–2874.
• Drees, ., Eilers, . and Jiang, ., 2022. Hierarchical random walker segmentation for large volumetric biomedical images: IEEE Transactions on Image Processing, 31, pp. 4431–4446. doi: 10.1109/TIP.2022.3185551.
• Drees, ., Eilers, ., Bian, . and Jiang, ., 2022. A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation. in: B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke and I. Ihrke eds. Proc. of GCPR. Berlin: Springer Nature. pp. 166–181.
• Dewi, ., Chen, ., Jiang, . and Yu, ., 2022. Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4: Multimedia Tools and Applications, 81(26), pp. 37821–37845.
• Xu, ., Zeng, ., Egger, ., Wang, ., Smedby, ., Jiang, . and Chen, ., 2022. A review on AI-based medical image computing in head and neck surgery: Physics in Medicine and Biology, 67, p. 17TR01.
• Dubey, ., Singh, . and Jiang, ., 2022. Leveraging CNN and transfer learning for classification of histopathology images. in: Khare N, Tomar DS, Ahirwal MK, Semwal VB and V. Soni eds. Proc. of MIND. Berlin: Springer Nature. pp. 3–13.
• Chen, ., Wang, ., Jiang, ., Yan, ., Bian, ., Xu, ., Zeng, . and Deng, ., 2022. Optical aerosol sizing method without prior refractive index: Measurement, 204, p. 112072.
• Gupta, ., Singh, . and Jiang, ., (in press) Leveraging tri-planar views and weighted average fusion technique to classify lung nodule malignancy. in: Proc. of CVIP
• Dewi, ., Chen, ., Chang, ., Wu, ., Jiang, . and Yu, ., 2022. Eye aspect ratio for real-time drowsiness detection to improve driver safety: Electronics, 11(19), Article 3183 doi: 10.3390/electronics11193183.

2021

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

2020

• Moreno-García, ., Serratosa, . and Jiang, ., 2020. Correspondence edit distance to obtain a set of weighted means of graph correspondences: Pattern Recognition Letters, 134, pp. 29–36.
• Xu, ., Wang, ., Bai, ., Xiao, ., Liu, ., Chen, ., Jiang, . and Luo, ., 2020. Probabilistic SVM classifier ensemble selection based on GMDH-type neural network: Pattern Recognition, 106, p. 107373.
• Zhang, ., Zhang, ., Jiang, . and Liang, ., 2020. Error correctable hand-eye calibration for stripe-laser vision-guided robotics: IEEE Transactions on Instrumentation and Measurement, 69(10), pp. 8314–8327.
• Xiao, ., Jia, ., Jiang, . and Wang, ., 2020. Circular complex-valued GMDH-type neural network for real-valued classification problems: IEEE Transactions on Neural Networks and Learning Systems, 31(12), pp. 5285–5299.
• Zhang, . and Jiang, ., 2020. Improved computation of affine dynamic time warping. International Conference on Applications of Intelligent Systems. Las Palmas de Gran Canaria
• Xiao, ., Tian, ., Xie, ., Jiang, . and Huang, ., 2020. A hybrid classification framework based on clustering: IEEE Transactions on Industrial Informatics, 16(4), pp. 2177–2188.
• Nienkötter, . and Jiang, ., 2020. A lower bound for generalized median based consensus learning using kernel-induced distance functions: Pattern Recognition Letters, 140, pp. 339–347.
• Dewi, ., Chen, ., Liu, ., Tai, ., Jiang, . and Yu, ., 2020. Deep Learning for traffic sign recognition based on spatial pyramid pooling with scale analysis: Applied Sciences, 10, p. 6997.
• Sun, ., Mai, .Y., Ji, ., Jiang, . and Chen, ., 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), pp. 1907–1919.
• Xu, ., Wang, ., Zhou, ., Liu, ., Jiang, . and Chen, ., 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), pp. 1457–1465.
• Monteiro, S.A., Hirata, . and Jiang, ., 2020. Skeletal similarity based performance evaluation for document binarization. 17th International Conference on Frontiers in Handwriting Recognition. Dortmund, Germany
• Klemm, ., Rexeisen, ., Stummer, ., Jiang, . and Holling, ., 2020. A video processing pipeline for intraoperative analysis of cerebral blood flow: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 8(4), pp. 356–366. doi: 10.1080/21681163.2018.1559771.

2019

• Chen, ., Hu, ., Zhang, ., Wang, ., Zhang, ., Shi, ., Chen, . and Jiang, ., 2019. A graph-based approach to automated EUS image layer segmentation and abnormal region detection: Neurocomputing, 336, pp. 79–91.
• Fink, G., Frintrop, S. and Jiang, X. eds., 2019. LNCS Volume 11824: Pattern Recognition. Düsseldorf: Springer VDI Verlag.
• Cebollada, ., Paya, ., Vaiente, ., Jiang, . and Reinoso, ., 2019. An evaluation between global appearance descriptors based on analytic methods and deep learning techniques for localization in autonomous mobile robots. 16th International Conference on Informatics in Control, Automation and Robotics. Prague
• Hamid, ., Derstroff, ., Klemm, ., Ngo, .Q., Jiang, . and Linsen, ., 2019. Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks. in: D.a. Archambault and J. Ian and Peltonen eds. Machine Learning Methods in Visualisation for Big Data. Eindhoven: Eurographics Association. doi: 10.2312/mlvis.20191160.
• Klemm, ., Ortkemper, . and Jiang, ., 2019. Deploying Deep Learning into practice: A case study on fundus segmentation. Proc. of 23rd Conference in Medical Imaging, Understanding and Analysis. Liverpool, UK
• O'Sullivan, ., Ali, ., Jiang, ., Abdolvand, ., Ünlü, ., Placido, d.S., Baca, ., Kim, ., Scott, ., Sajid, ., Moradian, ., Mansoorzare, . and Holzinger, ., 2019. Developments in connectivity and Machine Learning/AI for point-of-care testing: Sensors, 19(8), p. 1917.
• Drees, ., Scherzinger, . and Jiang, ., 2019. GERoMe – a method for evaluating stability of graph extraction algorithms without ground truth: IEEE Access, 7, pp. 21744–21755. doi: 10.1109/ACCESS.2019.2898754.
• Michels, ., Berh, . and Jiang, ., 2019. An RJMCMC-based method for tracking and resolving collisions of Drosophila Larvae: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2), pp. 465–474.

2018

• Berh, ., Scherzinger, ., Otto, ., Jiang, ., Klämbt, . and Risse, ., 2018. Automatic non-invasive heartbeat quantification of Drosophila pupae: Computers in Biology and Medicine, 93, pp. 189–199.
• Otto, ., Marelja, ., Schoofs, ., Kranenburg, ., Bittern, ., Yildirim, ., Berh, ., Bethke, ., Thomas, ., Rode, ., Risse, ., Jiang, ., Pankratz, ., Leimkuehler, . and Klämbt, ., 2018. The Sulfite Oxidase Shopper controls neuronal activity by regulating glutamate homeostasis in Drosophila ensheathing glia: Nature Communications, 9(1), p. 3514.
• Kiel, ., Berh, ., Daniel, ., Otto, ., Steege, ., Jiang, ., Liebau, . and Risse, ., 2018. A Multi-Purpose Worm Tracker Based on FIM.
• Valenzuela, ., Jiang, ., Carrillo, . and Rojas, ., 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), p. 1850022.
• Klemm, ., Scherzinger, ., Drees, . and Jiang, ., 2018. Barista - a graphical tool for designing and training deep neural networks. arXiv e-print:1802.04626: CoRR.
• Klemm, ., Jiang, . and Risse, ., 2018. Deep distance transform to segment visually indistinguishable merged objects. Proc. of 40th German Conference on Pattern Recognition (GCPR). Stuttgart
• Scherzinger, ., Hugenroth, ., Rüder, ., Bogdan, . and Jiang, ., 2018. Multi-class Cell Segmentation using CNNs with F1-measure Loss Function. Proc. of 40th German Conference on Pattern Recognition (GCPR). Stuttgart
• Nienkötter, . and Jiang, ., 2018. Consensus learning for sequence data. in: M. Last, H. Bunke and A. Kandel eds. Data Mining in Time Series and Streaming Databases. Singapore: World Scientific Publishing. pp. 69–91.
• Xu, ., Jiang, ., Bai, ., Xiao, . and Luo, ., 2018. A hybrid reproducing graph kernel based on information entropy: Pattern Recognition, 73, pp. 89–98.
• Mo, ., Xie, ., Jiang, ., Teng, ., Xu, . and Xiao, ., 2018. GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries: Applied Soft Computing, 62, pp. 478–490.
• Frohwein, ., Hess, ., Schlicher, ., Bolwin, ., Büther, ., Jiang, . and Schäfers, ., 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), p. 025033. doi: 10.1088/1361-6560/aa9e2f.

2017

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

2016

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

2015

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

2014

• Broelemann, ., 2014. Automatic Offline Understanding of Hand-Drawn Sketch Maps. Dissertation thesis. Universität Münster
• Jiang, X., Hornegger, J. and Koch, a.R. eds., 2014. Pattern Recognition. Düsseldorf: Springer VDI Verlag.
• Gigengack, ., Jiang, ., Dawood, . and Schäfers, a.K., 2014. Motion Correction in Thoracic Positron Emission Tomography. Düsseldorf: Springer VDI Verlag.
• Tham, T., Ichikawa, K., Oyama-Higa, M., Coomans, D. and Jiang, X. eds., 2014. Biomedical Informatics and Technology. Düsseldorf: Springer VDI Verlag.
• Risse, ., Otto, ., Berh, ., Jiang, . and Klämbt, ., 2014. FIM imaging and FIMTrack: Two new tools allowing high-throughput and cost effective locomotion analysis: Journal of Visualized Experiments, 94
• Ungru, ., Tenbrinck, ., Jiang, . and Stypmann, a.J., 2014. Automatic classification of left ventricular wall segments in small animal ultrasound imaging: Computer Methods and Programs in Biomedicine, 117(1), p. 2-12.
• Fieseler, ., Gigengack, ., Jiang, . and Schäfers, a.K., 2014. Motion correction of whole-body PET data with a joint PET-MRI registration functional: BioMedical Engineering OnLine, 13(Suppl 1)
• Schmeing, ., Krauskopf, . and 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)
• Schmeing, . and Jiang, ., 2014. Edge-aware depth image filtering using color segmentation: Pattern Recognition Letters, 50, pp. 63–71. doi: 10.1016/j.patrec.2014.03.026.
• Schmeing, . and Jiang, ., 2014. Superpixel-based disocclusion filling in depth image based rendering. in: IEEE International Conference on Pattern Recognition
• Lammel, ., Bechtold, ., B, .R., Berh, ., Fleige, ., Bunse, ., Jiang, ., Klämbt, . and 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), pp. 1366–1380. doi: 10.1242/dev.101352.
• Schmeing, M.A., 2014. Disocclusion Filling in Depth-Based View Synthesis and Depth Map Enhancement. Dissertation thesis. Universität Münster
• Franek, ., Jiang, . and He, ., 2014. Weighted mean of a pair of clusterings: Pattern Analysis and Applications, 17(1), p. 166. doi: 10.1007/s10044-012-0304-8.
• Franek, . and Jiang, ., 2014. Ensemble clustering by means of clustering embedding in vector spaces: Pattern Recognition, 47(2), p. 842. doi: 10.1016/j.patcog.2013.08.019.
• Chan, ., Huang, ., Liu, ., Chen, . and Jiang, ., 2014. An automatic indirect immunofluorescence cell segmentation system: Mathematical Problems in Engineering, 2014 doi: 10.1155/2014/501206.

2013

• Gigengack, ., 2013. Mass-Preserving Motion Correction and Multimodal Image Segmentation in Positron Emission Tomography. Dissertation thesis. Universität Münster
• Tenbrinck, ., 2013. Variational Methods for Medical Ultrasound Imaging. Dissertation thesis. Universität Münster
• Roters, ., 2013. Incremental Multi-View 3D Reconstruction with Application to Disaster Management. Dissertation thesis. Universität Münster
• Kropatsch, W., Artner, N., Haxhimusa, Y. and Jiang, a.X. eds., 2013. Graph-Based Representations in Pattern Recognition. Düsseldorf: Springer VDI Verlag.
• Jiang, X., Bellon, O., Goldgof, D. and Oishi, a.T. eds., 2013. LNCS: Advances in Depth Image Analysis and Applications. Düsseldorf: Springer VDI Verlag.
• Jiang, .F., 2013. Orthogonal design of experiments for parameter learning in image segmentation: Signal Processing, 93
• Risse, ., Berh, ., Tao, ., Jiang, ., Klette, . and Klämbt, a.C., 2013. Comparison of two 3D tracking paradigms for freely flying insects: Eurasip Journal on Image and Video Processing, 2013
• Sawatzky, ., Tenbrinck, ., Jiang, . and Burger, a.M., 2013. A variational framework for region-based segmentation incorporating physical noise models: Journal of Mathematical Imaging and Vision, 47
• Teng, G.-E., He, ., Xiao, . and Jiang, a.X., 2013. Customer credit scoring based on HMM-GMDH hybrid model: Knowledge and Information Systems, 36
• Tenbrinck, ., Schmid, ., Jiang, ., Schäfers, . and Stypmann, ., 2013. Histogram-based optical flow for motion estimation in ultrasound imaging: Journal of Mathematical Imaging and Vision, 47
• Fieseler, ., Kugel, ., Gigengack, ., Kösters, ., Büther, ., Quick, ., Faber, ., Jiang, . and Schäfers., a.K., 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, pp. 59–63. doi: 10.1016/j.nima.2012.09.039.
• Schmeing, . and Jiang, ., 2013. Color segmentation based depth image filtering. in: X. Jiang, O. Bellon, D. Goldgof and T. Oishi eds. Lecture Notes in Computer Science, Volume 7854: Advances in Depth Image Analysis and Applications. Düsseldorf: Springer VDI Verlag. pp. 68–77. doi: 10.1007/978-3-642-40303-3\_8.
• Schmeing, . and 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), p. 1354005. doi: 10.1142/S0218001413540050.
• Risse, ., Jiang, . and Klämbt, ., 2013. FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications: ERCIM News, 95(Image Understanding), pp. 11–12.
• Sander, ., Squarr, ., Risse, ., Jiang, . and 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.
• Risse, ., Thomas, ., Otto, ., Löpmeier, ., Valkov, ., Jiang, . and Klämbt, ., 2013. FIM, a novel FTIR-based imaging method for high throughput locomotion analysis: PloS one, 8(1), p. e53963. doi: 10.1371/journal.pone.0053963.
• Dawood, ., Gigengack, ., Jiang, . and Schafers, ., 2013. A mass conservation-based optical flow method for cardiac motion correction in 3D-PET.: Medical Physics, 40(1), p. 012505. doi: 10.1118/1.4770276.

2012

• Franek, L., 2012. Ensemble Algorithms with Applications to Clustering and Image Segmentation. Dissertation thesis. Universität Münster
• Schmeing, . and Jiang, ., 2012. Faithful Spatio-Temporal Disocclusion Filling Using Local Optimization. in: IEEE International Conference on Pattern Recognition. pp. 3799–3802.
• Broelemann Klaus, D.A. and Jiang Xiaoyi, L.J., 2012. Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition. Hiroshima, Japan
• Dawood, M., Jiang, X. and Schäfers, K. eds., 2012. Correction Techniques in Emission Tomographic Imaging. Boca Raton, FL: CRC Press.
• Xiao, ., Xie, ., He, . and Jiang, ., 2012. Dynamic classifier ensemble model for customer classification with imbalanced class distribution: Expert Systems with Applications, 39(3), pp. 3668–3675. doi: 10.1016/j.eswa.2011.09.059.
• Jiang, ., Wentker, . and Ferrer, ., 2012. Generalized median string computation by means of string embedding in vector spaces: Pattern Recognition Letters, 33(7)
• Jiang, ., Lambers, . and Bunke, ., 2012. Structural performance evaluation of curvilinear structure detection algorithms with application to retinal vessel segmentation: Pattern Recognition Letters, 33(15)
• Franek, ., Jiang, . and Wattuya, ., 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, K. and Jiang, X., 2012. A region-based method for sketch map segmentation. in: O.J.-M. Kwon Young-Bin eds. Lecture Notes in Computer Science, Volume 7423: Graphics Recognition. New Trends and Challenges. Heidelberg: Springer. pp. 1–14. doi: 10.1007/978-3-642-36824-0_1.
• Gigengack, ., Ruthotto, ., Burger, ., Wolters, ., Jiang, . and Schafers, ., 2012. Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration.: IEEE Transactions on Medical Imaging, 31(3), pp. 698–712.

2011

• Fieseler, . and Jiang, ., 2011. Discontinuity-based registration of depth and video data in depth image based rendering: Signal, Image and Video Processing, 5(3), pp. 353–361. doi: 10.1007/s11760-010-0199-z.
• Jiang, X., Ferrer, M. and Torsello, A. eds., 2011. LNCS, Volume 6658: Graph-Based Representations in Pattern Recognition. Düsseldorf: Springer VDI Verlag.
• Jiang, ., Große, . and Rothaus, ., 2011. Interactive segmentation of non-star-shaped contours by dynamic programming: Pattern Recognition, 44(9), pp. 2001–2009. doi: 10.1016/j.patcog.2011.03.010.
• Jiang, ., Broelemann, ., Wachenfeld, . and Krüger, ., 2011. Graph-based markerless registration of city maps using geometric hashing: Computer Vision and Image Understanding, 115(7), pp. 1031–1042. doi: 10.1016/j.cviu.2010.12.014.
• Pham, T., Zhou, X., Tanaka, H., Oyama-Higa, M., Jiang, X., Sun, C., Kowalski, J. and Jia, a.X. eds., 2011. Proc. of Int. Symposium on Computational Models for Life Sciences. N/A: Selbstverlag / Eigenverlag.
• Roters, ., Jiang, . and Rothaus, ., 2011. Recognition of traffic lights in live video streams on mobile devices: IEEE Transactions on Circuits and Systems for Video Technology, 21(10)
• Schmeing, . and Jiang, ., 2011. Depth Image Based Rendering. in: W.P. S.P. eds. Pattern Recognition, Machine Intelligence and Biometrics. Düsseldorf: Springer VDI Verlag. pp. 279–310.
• Schmeing, . and Jiang, ., 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

• Abdala, D.D., 2010. Ensemble and Constrained Clustering with Applications. Dissertation thesis. Universität Münster
• Wattuya, P., 2010. Combination of Multiple Image Segmentations. Dissertation thesis. Universität Münster
• Xiao J, . and Z C, J.X., 2010. A dynamic classifer ensemble selection approach for noise data: Information Sciences
• Lewin, ., Jiang, . and Clausing, ., 2010. Perceptually motivated shape evolution with shape-preserving property: Pattern Recognition Letters, 31(6), pp. 447–453.
• Bartenhagen, ., Klein, ., Ruckert, ., Jiang, . and Dugas, ., 2010. Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data: Trials, 11, pp. 567–577. doi: 10.1186/1471-2105-11-567.
• Jiang, X., Ma, M. and Chen, C. eds., 2010. Multimedia Processing: Fundamentals, Methods, and Applications. Düsseldorf: Springer VDI Verlag.
• Lewin, ., Jiang, . and Clausing, ., 2010. Perceptually motivated shape evolution with shape-preserving property: Pattern Recognition Letters, 31(6), pp. 447–453.
• Gigengack, ., Ruthotto, ., Burger, ., Wolters, ., Jiang, . and Schafers, ., 2010. Motion correction of cardiac PET using mass-preserving registration. 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 doi: 10.1109/NSSMIC.2010.5874418.
• Wachenfeld, ., Terlunen, . and Jiang, ., 2010. Robust 1-D barcode recognition on camera phones and mobile product information display. in: Mobile Multimedia Processing: Fundamentals, Methods and Applications. Düsseldorf: Springer VDI Verlag. pp. 53–69.
• Wachenfeld, ., Madeja, . and Jiang, ., 2010. Developing mobile multimedia applications on Symbian OS devices. in: Mobile Multimedia Processing: Fundamentals, Methods and Applications . Düsseldorf: Springer VDI Verlag. pp. 238–263.
• Jiang, . and Bunke, ., 2010. Learning by generalized median concept. in: Pattern Recognition and Machine Vision . Gistrup: River Publishers. pp. 1–16.
• Riesen, ., Jiang, . and Bunke, ., 2010. Exact and inexact graph matching- Methodology and applications. in: C. Aggarwal and H. Wang eds. Managing and Mining Graph Data . Düsseldorf: Springer VDI Verlag. pp. 217–247.
• Dawood, ., Brune, ., Jiang, ., Büther, ., Burger, ., Schober, ., Schäfers, . and Schäfers, ., 2010. A continuity equation based optical flow method for cardiac motion correction in 3D PET data. in: H. Liao, P.E. Edwards and X. 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). Heidelberg: Springer. pp. 88–97. doi: 10.1007/978-3-642-15699-1_10.
• Abdala, . and Jiang, ., 2010. Fiber segmentation using constrained clustering. Proc. of ICMB. Hong Kong
• Jiang, . and Abdala, ., 2010. Exploring the performance limit of cluster ensemble techniques. Proc. of SSPR. Izmir
• Abdala, ., Wattuya, . and Jiang, ., 2010. Ensemble clustering via random walker consensus strategy. Proc. of ICPR. Istambul
• Schmeing, . and Jiang, ., 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.

2009

• Wachenfeld, S., 2009. Recognition of Screen-Rendered Text. Dissertation thesis. Universität Münster
• Stadelmann R, J.X. and Mojon, .D., 2009. A computer-based test to quantify the Pulfrich stereo phenomenon: Ophthalmologica
• Dawood, ., Büther, ., Stegger, ., Jiang, ., Schober, ., Schäfers, . and Schäfers, ., 2009. Optimal number of respiratory gates in positron emission tomography: A cardiac patient study: Medical Physics, 36(15), pp. 1775–1784.
• Von Wangenheim A, B., F R, S.A., Coser L, A.D., Jiang X, R.M. and Priese L, S.F., 2009. Color Image segmentation using an enhanced gradient network method: Pattern Recognition Letters, 30(15), pp. 1404–1412.
• Jiang, ., Hsu, J, .-C., K, R., M, M., Chen and Y, .-F., 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), pp. 27–37.
• Xiao, ., He, . and Jiang, ., 2009. Structure identifcation by Bayesian classifers based on GMDH: Knowledge-Based Systems, 22(6), pp. 461–470.
• Rothaus, ., Rhiem, . and Jiang, ., 2009. Separation of the retinal vascular graph in arteries and veins upon structural knowledge: Image and Vision Computing, 27(7), pp. 864–875.
• J, M., T, K., A, S., S, Z., Peitgen, H, . and X, J., 2009. Matching of tree structures for registration of medical images: Image and Vision Computing, 27(7), pp. 923–933.
• Schmeing, . and Jiang, ., 2009. Robust Background Subtraction for Depth Map Generation. in: Proceedings of 3D Stereo MEDIA 2009
• Jiang, X. and Petkov, N. eds., 2009. LNCS, Volume 5702: Computer Analysis of Images and Patterns. Düsseldorf: Springer VDI Verlag.
• Wachenfeld, ., Broelemann, ., Jiang, . and Krüger, ., 2009. Graph-based registration of partial images of city maps using geometric hashing. doi: 10.1007/978-3-642-02124-4_10.
• Dawood, ., Büther, ., Stegger, ., Jiang, ., Schober, ., Schäfers, . and Schäfers, ., 2009. Optimal number of respiratory gates in positron emission tomography: a cardiac patient study.: Medical Physics, 36(5), pp. 1775–1784. doi: 10.1118/1.3112422.
• Franek, . and Jiang, ., 2009. An instability problem region growing segmentation algorithms and its set median solution. Proc. of 5th Int. Symposium on Visual Computing. Las Vegas
• Gigengack, . and Jiang, ., 2009. Improved uncalibrated view synthesis by extended positioning of virtual cameras and image quality optimization. Proc. of ACCV. Xian
• Rothaus, ., Roters, . and Jiang, ., 2009. Localization of pedestrian lights on mobile devices. Proc. Of APSIPA Annual Summit and Conference. Sapporo, Japan
• Chen, Y, .-F., Huang, Y, .-F., X, J., Hsu, Y, .-N., Lin and H, .-H., 2009. Design of clinical support systems using integrated genetic algorithm and support vector machine. 13th Int. Conf. on Computer Analysis of Images and Patterns
• Cheng, .-C.D., Schmidt-Trucksäss A, L. and -H S, J.X., 2009. Improved arterial inner wall detection using generalized median computation. 13th Int. Conf. on Computer Analysis of Images and patterns
• Grosse, ., Rothaus, . and Jiang, ., 2009. Detection of non-convex objects by dynamic programming. 13th Int. Conf. on Computer Analysis of Images and Patterns
• Abdala, D, . and X, J., 2009. An evidence accumulation approach to constrained clustering combination. 6th Int. Conf. on Machine Learning and Data Mining in Pattern Recognition
• Wachenfeld, ., Broelemann, ., Jiang, . and Küger, ., 2009. Graph-based registration of partial images of city maps using geometric hashing. Proc. Of GbR. Venice
• Fieseler, . and Jiang, ., 2009. Registration of depth and video data in depth image based rendering. 3DTV Conference. Potsdam

2008

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

2007

• Schmid P, L., P P, R.K., Rothaus K, J.X., Cryer C, J.T., Niederer P, B.P. and H R, e., 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), pp. 1413–1423.
• Lewin, ., Clausing, . and Jiang, ., 2007. Shape evolution driven by a perceptually motivated measure. 3rd Int. Symposium on Visual Computing. Lake Tahoe, Nevada/Califormia
• Wachenfeld, ., Lohe, . and Jiang, ., 2007. DOCXS - A distributed computing environment for multimedia data processing. Int. Conf. on Signal Processing and Multimedia Applications. Barcelona
• Cheng, ., Jiang, . and Schmidt-Trucksäss, ., 2007. Image segmentation using histogram fitting and spatial information. Int. Conf. on Mass-Data Anlysis of Images and Signals in Medicine Biotechnology and Chemistry. Leipzig
• Wachenfeld S, K. and -U H, J.X., 2007. The Screen-Char and Screen-Word Databases for recognition of screen-rendered text. Int. Conf. on Document Analysis and Recognition. Curitiba
• Wachenfeld, S., Klein, H.-U., Fleischer, S. and Jiang, X., 2007. Segmentation of Very Low Resolution Screen-Rendered Text. 9th International Conference on Document Analysis and Recognition (ICDAR 2007). Curitiba, Paraná, Brazil
• Wachenfeld, S., Fleischer, S. and Jiang, X., 2007. A Multiple Classifier Approach for the Recognition of Screen-Rendered Text. 12th International Conference on Computer Analysis of Images and Patterns (CAIP 2007). Vienna, Austria
• Krüger, . and Jiang, ., 2007. Improving human computer interaction through embedded vision technology. IEEE Int. Conf. on Multimedia & Expo (ICME). Beijing
• Hsu, J, .-C., Chen, Y, .-F., Lin, H, .-H. and X, J., 2007. Construction of predication module for successful ventilator weaning. The 20th Int. Conf. on Industrial Engineering & Other Applications of Applied Intelligent Systems. Kyoto
• J, M., T, K., A, S., S, Z., Peitgen, H, .-O. and X, J., 2007. Matching of tree structures for registration of medical images. Proc. of GbR. Alicante, Spain
• Rothaus, ., Rhiem, . and Jiang, ., 2007. Separation of the retinal viscular graph in arteries and veins. Proc. of GbR. Alicante, Spain
• J, M., T, K., A, S., S, Z., Peitgen, H, .-O. and X, J., 2007. Matching von Baumstrukturen: Zuordnung von Gefäßsystemen aus Leber und Lunge. Workshop Bildverarbeitung für die Medizin. Munich
• Weinhold, . and Jiang, ., 2007. Vollautomatische Rekonstruktion von Bildern histologischer Stufenschnitte der Rattenleber. Workshop Bildverarbeitung für die Medizin. Munich

2006

• Dawood, ., Lang, ., Jiang, . and Schäfers, ., 2006. Lung motion correction on respiratory gated 3D PET-CT images: IEEE Transactions on Medical Imaging, 25(4), pp. 476–485.
• Gerke, ., Bornberg-Bauer, ., Jiang, . and Fuellen, ., 2006. Finding common protein interaction patterns across organisms: Evolutionary Bioinformatics, 2, pp. 45–52.
• Jiang, ., Marti, ., Irniger, . and Bunke, ., 2006. Distance Measures for Image Segmentation Evaluation: EURASIP Journal on Advances in Signal Processing ( Special Issue on Performance Evaluation in Image Processing), pp. 1–10.
• A, B., X, J., A, R., Mojon and D, ., 2006. A new 3D monitor based randomdot stereotest for children: Investigative Ophthalmology & Visual Science, 47, pp. 4842–4846.
• Breyer A, J.X., Rütsche A, B.H., Oexl T, B.A. and Mojon, .D., 2006. Inuence of the Pulfrich phenomenon on driving performance: Graefes Archive for Clinical and Experimental Ophthalmology, 244, pp. 1555–1561.
• A, R., A, B., X, J., Mojon and D, ., 2006. Development of visual pursuit in the first six years: Graefes Archive for Clinical and Experimental Ophthalmology, 244(11), pp. 1406–1411.
• Lunkenheimer, P, ., K, R., N, K., K, R., X, J., C, C., F, W., P, N., Heitz, Ph, ., Ho, S, ., R, . and erson, 2006. The three-dimensional architecture of the left ventricular myocardium: The anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, 288A(6), pp. 565–578.
• Zheng, N., X., J.X. and and, L.X. eds., 2006. LNCS, Volume 4153: Advances in Machine Vision, Image Processing, and Pattern Analysis. Düsseldorf: Springer VDI Verlag.
• Cheng, . and Jiang, ., 2006. Using dual dynamic programming for artery's inner wall detection in sonographic images. The 1st InternationalWorkshop on Computer Vision for Intravascular and Intracardiac Imaging. Copenhagen
• Jiang, . and Lambers, ., 2006. Synthesis of stereoscopic 3D videos by limited resources of range images. Int. Conf. on Pattern Recognition. Hong Kong
• Wachenfeld S, K. and -U H, J.X., 2006. Recognition of screen-rendered text. Int. Conf. on Pattern Recognition. Hong Kong
• Dawood, ., Büther, ., Lang, ., Jiang, . and Schäfers, ., 2006. Transforming static CT in gated PET/CT studies to multiple respiratory phases. Int. Conf. on Pattern Recognition. Hong Kong
• Rothaus, ., Jiang, . and Lambers, ., 2006. Comparison of methods for hyperspherical data averging and parameter estimation. Int. Conf. on Pattern Recognition. Hong Kong
• Wattuya, . and Jiang, ., 2006. A class of generalized median contour problem with exact solution. Proc. of SSPR. Hong Kong
• Jiang, . and Lambers, ., 2006. DIBR-based 3D videos using non video rate range image stream. IEEE Int. Conf. on Multimedia & Expo (ICME). Toronto
• Jiang, . and Mojon, ., 2006. Applications of autostereoscopic displays in opthalmologic studies. IEEE Int. Conf. on Multimedia & Expo (ICME). Toronto
• Jiang, . and Cheng, ., 2006. Object modeling with guaranteed fulfillment of geometric constraints. 3rd International Symposium on 3D Data Processing, Visualiyation and Transmission
• Rothaus, . and Jiang, ., 2006. Statistical analysis of myofibre orientation of the ventricular myocardium LNAI, Vol. Workshop on Mass-Data Analysis of Images and Signals in Medicine Biotechnology and Chemistry. Leipzig
• D, C., X, J., A, S.-T., Cheng and K, .-S., 2006. Automatic intimamedia thickness measurement of carotid artery wall in B-mode sonographic images. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Arlington, Virginia
• Jiang, ., Rothaus, ., Rothaus, . and Mojon, ., 2006. Synthesizing face images by iris replacement: Strabismus simulation. First Int. Conf. on Computer Vision Theory and Applications. Setuba, Portugal
• Jiang, . and Lewin, ., 2006. An approach to perceptual shape matching. Proc. of VISUAL. Amsterdam