An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images. - Jianxu Chen 001; Oleg V. Kim; Rustem I. Litvinov; John W. Weisel; Mark S. Alber; Danny Ziyi Chen (CBMS, 2014)

A Matching Model Based on Earth Mover's Distance for Tracking Myxococcus Xanthus. - Jianxu Chen 001; Cameron W. Harvey; Mark S. Alber; Danny Ziyi Chen (MICCAI (2), 2014)

A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. - Jianxu Chen 001; Shant Mahserejian; Mark S. Alber; Danny Z. Chen (MICCAI (3), 2015)

Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images. - Jianxu Chen 001; Yiqing Cai; Chen Wei; Lin Yang 003; Mark S. Alber; Danny Ziyi Chen (ISBI, 2016)

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. - Jianxu Chen 001; Lin Yang 003; Yizhe Zhang 001; Mark S. Alber; Danny Ziyi Chen (NIPS, 2016)

Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks. - Jianxu Chen 001; Chukka Srinivas (CoRR, 2016)

Iris Recognition Based on Human-Interpretable Features. - Jianxu Chen 001; Feng Shen; Danny Ziyi Chen; Patrick J. Flynn (IEEE Trans. Inf. Forensics Secur., 2016)

A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. - Jianxu Chen 001; Mark S. Alber; Danny Ziyi Chen (IEEE Trans. Medical Imaging, 2016)

Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. - Xiaoming Chen 003; Jianxu Chen 001; Danny Z. Chen; Xiaobo Sharon Hu (DAC, 2017)

Neuron Segmentation Using Deep Complete Bipartite Networks. - Jianxu Chen 001; Sreya Banerjee; Abhinav Grama; Walter J. Scheirer; Danny Z. Chen (MICCAI (2), 2017)

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. - Lin Yang 003; Yizhe Zhang 001; Jianxu Chen 001; Siyuan Zhang; Danny Z. Chen (MICCAI (3), 2017)

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. - Yizhe Zhang 001; Lin Yang 003; Jianxu Chen 001; Maridel Fredericksen; David P. Hughes; Danny Z. Chen (MICCAI (3), 2017)

A new registration approach for dynamic analysis of calcium signals in organs. - Peixian Liang; Jianxu Chen 001; Pavel A. Brodskiy; Qinfeng Wu; Yejia Zhang; Yizhe Zhang 001; Lin Yang 003; Jeremiah J. Zartman; Danny Z. Chen (ISBI, 2018)

Biomedical Image Segmentation via Representative Annotation. - Hao Zheng 006; Lin Yang 003; Jianxu Chen 001; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. - Peixian Liang; Jianxu Chen 001; Hao Zheng 006; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (ISBI, 2019)

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. - Hongxiao Wang; Hao Zheng 006; Jianxu Chen 001; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (BIBM, 2020)

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. - Peixian Liang; Jianxu Chen 001; Yizhe Zhang 001; Hongxiao Wang; Hao Zheng 006; Pengfei Gu; Danny Ziyi Chen (CBMS, 2020)

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation. - Justin Sonneck; Jianxu Chen 001 (CoRR, 2022)

Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. - Yiyu Shi 001; Yongpan Liu; Jianxu Chen 001; Steve B. Jiang (ACM J. Emerg. Technol. Comput. Syst., 2022)

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. - Peixian Liang; Yizhe Zhang 001; Yifan Ding; Jianxu Chen 001; Chinedu S. Madukoma; Tim Weninger; Joshua D. Shrout; Danny Z. Chen (IEEE Trans. Medical Imaging, 2022)

On the risk of manual annotations in 3D confocal microscopy image segmentation. - Justin Sonneck; Shuo Zhao; Jianxu Chen 001 (ICCV (Workshops), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation. - Yu Zhou; Justin Sonneck; Sweta Banerjee; Stefanie Dörr; Anika Grüneboom; Kristina Lorenz; Jianxu Chen 001 (CoRR, 2023)

Masked Diffusion as Self-supervised Representation Learner. - Zixuan Pan; Jianxu Chen 001; Yiyu Shi 001 (CoRR, 2023)

Deep learning based Image Compression for Microscopy Images: An Empirical Study. - Yu Zhou; Jan Sollman; Jianxu Chen 001 (CoRR, 2023)

Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. - Kathrin Krieger; Jan Egger; Jens Kleesiek; Matthias Gunzer; Jianxu Chen 001 (CoRR, 2023)

The importance of resource awareness in artificial intelligence for healthcare. - Zhenge Jia; Jianxu Chen 001; Xiaowei Xu 004; John N. Kheir; Jingtong Hu; Han Xiao; Sui Peng; Xiaobo Sharon Hu; Danny Ziyi Chen; Yiyu Shi 001 (Nat. Mac. Intell., 2023)

Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images. - Jiachen Yao; Nina Hagemann; Qiaojie Xiong; Jianxu Chen 001; Dirk M. Hermann; Chao Chen (ISBI, 2024)

2D Label-Free Prediction of Multiple Organelles Across Different Transmitted-Light Microscopy Images with Bag-of-Experts. - Yu Zhou; Shuo Zhao; Justin Sonneck; Jianxu Chen 001 (ISBI, 2024)

Implicit Neural Image Field for Biological Microscopy Image Compression. - Gaole Dai; Cheng-Ching Tseng; Qingpo Wuwu; Rongyu Zhang; Shaokang Wang; Ming Lu; Tiejun Huang 001; Yu Zhou; Ali Ata Tuz; Matthias Gunzer; Jianxu Chen 001; Shanghang Zhang (CoRR, 2024)

Multimodal Large Language Models for Bioimage Analysis. - Shanghang Zhang; Gaole Dai; Tie-Jun Huang 001; Jianxu Chen 001 (CoRR, 2024)

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. - Zixuan Pan; Jun Xia 003; Zheyu Yan; Guoyue Xu; Yawen Wu; Zhenge Jia; Jianxu Chen 001; Yiyu Shi 001 (CoRR, 2024)

Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove. - Kathrin Krieger; David P. Leins; Thorben Markmann; Robert Haschke; Jianxu Chen 001; Matthias Gunzer; Helge J. Ritter (CoRR, 2024)

The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). - Jianxu Chen 001; Florian Jug; Susanne M. Rafelski; Shanghang Zhang (Dagstuhl Reports, 2024)

Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention. - Shuo Zhao; Yu Zhou; Jianxu Chen 001 (Bildverarbeitung für die Medizin, 2025)

The Four Color Theorem for Cell Instance Segmentation. - Ye Zhang; Yu Zhou; Yifeng Wang; Jun Xiao; Ziyue Wang; Yongbing Zhang; Jianxu Chen 001 (CoRR, 2025)