Jianxu Chen - RankMe

62 papers A* 3B 2Journal 39Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cell Instance Segmentation: The Devil Is in the Boundaries. IEEE Trans. Medical Imaging Peixian Liang, Yifan Ding, Yizhe Zhang, Jianxu Chen, Hao Zheng, Hongxiao Wang, Yejia Zhang, Guangyu Meng, Tim Weninger, Michael T. Niemier, X. Sharon Hu, Danny Z. Chen
2026	J	`jnl`	Key-Embedded Privacy for Decentralized AI in Biomedical Omics. CoRR Rongyu Zhang, Hongyu Dong, Gaole Dai, Ziqi Qiao, Shenli Zheng, Yuan Zhang, Aosong Cheng, Xiaowei Chi, Jincai Luo, Pin Li, Li Du, Dan Wang, Yuan Du, Xudong Xing, Jianxu Chen, Shanghang Zhang
2026	J	`jnl`	SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation. CoRR Zixuan Pan, Kaiyuan Tang, Jun Xia, Yifan Qin, Lin Gu, Chaoli Wang, Jianxu Chen, Yiyu Shi
2026	J	`jnl`	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence. CoRR Kewen Cao, Jianxu Chen, Yongbing Zhang, Ye Zhang, Hongxiao Wang
2025	—	`conf`	Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention. Bildverarbeitung für die Medizin Shuo Zhao, Yu Zhou, Jianxu Chen
2025	J	`jnl`	An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention. CoRR Shuo Zhao, Yu Zhou, Jianxu Chen
2025	J	`jnl`	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice. CoRR Simon Püttmann, Jonathan Jair Sànchez Contreras, Lennart Kowitz, Peter Lampen, Saumya Gupta, Davide Panzeri, Nina Hagemann, Qiaojie Xiong, Dirk M. Hermann, Cao Chen, Jianxu Chen
2025	J	`jnl`	Cell Instance Segmentation: The Devil Is in the Boundaries. CoRR Peixian Liang, Yifan Ding, Yizhe Zhang, Jianxu Chen, Hao Zheng, Hongxiao Wang, Yejia Zhang, Guangyu Meng, Tim Weninger, Michael T. Niemier, X. Sharon Hu, Danny Z. Chen
2025	—	`conf`	Data Efficiency and Transfer Robustness in Biomedical Image Segmentation: A Study of Redundancy and Forgetting with Cellpose. BIBM Shuo Zhao, Jianxu Chen
2025	J	`jnl`	Data Efficiency and Transfer Robustness in Biomedical Image Segmentation: A Study of Redundancy and Forgetting with Cellpose. CoRR Shuo Zhao, Jianxu Chen
2025	J	`jnl`	FlowRoI A Fast Optical Flow Driven Region of Interest Extraction Framework for High-Throughput Image Compression in Immune Cell Migration Analysis. CoRR Xiaowei Xu, Justin Sonneck, Hongxiao Wang, Roman Burkard, Hendrik Wohrle, Anton Grabmasier, Matthias Gunzer, Jianxu Chen
2025	J	`jnl`	Implicit neural image field for biological microscopy image compression. Nat. Comput. Sci. Gaole Dai, Rongyu Zhang, Qingpo Wuwu, Cheng-Ching Tseng, Yu Zhou, Shaokang Wang, Siyuan Qian, Ming Lu, Ali Ata Tuz, Matthias Gunzer, Tiejun Huang, Jianxu Chen, Shanghang Zhang
2025	—	`conf`	Multi-Exit Class Activation Map Guided Feature Masking for Unsupervised Out-of-Distribution Detection in Medical Imaging. BIBM Zixuan Pan, Yu-Jen Chen, Jun Xia, Max Ficco, Jianxu Chen, Tsung-Yi Ho, Yiyu Shi
2025	J	`jnl`	Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine. J. Imaging Inform. Medicine Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen
2025	J	`jnl`	Orochi: Versatile Biomedical Image Processor. CoRR Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tie-Jun Huang, Jianxu Chen, Shanghang Zhang
2025	J	`jnl`	PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis. CoRR Ye Zhang, Yu Zhou, Jingwen Qi, Yongbing Zhang, Simon Puettmann, Finn Wichmann, Larissa Pereira Ferreira, Lara Sichward, Julius Keyl, Sylvia Hartmann, Shuo Zhao, Hongxiao Wang, Xiaowei Xu, Jianxu Chen
2025	—	`conf`	Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. BIBM Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yifan Qin, Xueyang Li, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi
2025	A*	`conf`	The Four Color Theorem for Cell Instance Segmentation. ICML Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen
2025	J	`jnl`	The Four Color Theorem for Cell Instance Segmentation. CoRR Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen
2024	—	`conf`	2D Label-Free Prediction of Multiple Organelles Across Different Transmitted-Light Microscopy Images with Bag-of-Experts. ISBI Yu Zhou, Shuo Zhao, Justin Sonneck, Jianxu Chen
2024	J	`jnl`	Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove. CoRR Kathrin Krieger, David P. Leins, Thorben Markmann, Robert Haschke, Jianxu Chen, Matthias Gunzer, Helge J. Ritter
2024	J	`jnl`	Implicit Neural Image Field for Biological Microscopy Image Compression. CoRR Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu, Rongyu Zhang, Shaokang Wang, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang
2024	J	`jnl`	Multimodal Large Language Models for Bioimage Analysis. CoRR Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen
2024	J	`jnl`	Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. CoRR Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi
2024	J	`jnl`	The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang
2024	—	`conf`	Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images. ISBI Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen
2023	J	`jnl`	Deep learning based Image Compression for Microscopy Images: An Empirical Study. CoRR Yu Zhou, Jan Sollman, Jianxu Chen
2023	J	`jnl`	EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation. CoRR Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen
2023	J	`jnl`	Masked Diffusion as Self-supervised Representation Learner. CoRR Zixuan Pan, Jianxu Chen, Yiyu Shi
2023	J	`jnl`	Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen
2023	—	`conf`	On the risk of manual annotations in 3D confocal microscopy image segmentation. ICCV (Workshops) Justin Sonneck, Shuo Zhao, Jianxu Chen
2023	J	`jnl`	The importance of resource awareness in artificial intelligence for healthcare. Nat. Mac. Intell. Zhenge Jia, Jianxu Chen, Xiaowei Xu, John N. Kheir, Jingtong Hu, Han Xiao, Sui Peng, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	J	`jnl`	Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. ACM J. Emerg. Technol. Comput. Syst. Yiyu Shi, Yongpan Liu, Jianxu Chen, Steve B. Jiang
2022	J	`jnl`	H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. CoRR Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen
2022	J	`jnl`	H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. IEEE Trans. Medical Imaging Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen
2022	J	`jnl`	MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation. CoRR Justin Sonneck, Jianxu Chen
2020	B	`conf`	InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. CBMS Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen
2020	—	`conf`	Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen
2020	J	`jnl`	Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. CoRR Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen
2019	A*	`conf`	Biomedical Image Segmentation via Representative Annotation. AAAI Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019	—	`conf`	Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. ISBI Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
2019	J	`jnl`	Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. CoRR Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
2018	J	`jnl`	A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs. CoRR Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen
2018	—	`conf`	A new registration approach for dynamic analysis of calcium signals in organs. ISBI Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen
2017	—	`conf`	Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. MICCAI (3) Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen
2017	—	`conf`	Neuron Segmentation Using Deep Complete Bipartite Networks. MICCAI (2) Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen
2017	J	`jnl`	Neuron Segmentation Using Deep Complete Bipartite Networks. CoRR Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen
2017	A*	`conf`	Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. DAC Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu
2017	J	`jnl`	Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. CoRR Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu
2017	—	`conf`	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. MICCAI (3) Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen
2017	J	`jnl`	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. CoRR Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen
2016	J	`jnl`	A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. IEEE Trans. Medical Imaging Jianxu Chen, Mark S. Alber, Danny Ziyi Chen
2016	J	`jnl`	Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks. CoRR Jianxu Chen, Chukka Srinivas
2016	—	`conf`	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. NIPS Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen
2016	J	`jnl`	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. CoRR Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Z. Chen
2016	J	`jnl`	Iris Recognition Based on Human-Interpretable Features. IEEE Trans. Inf. Forensics Secur. Jianxu Chen, Feng Shen, Danny Ziyi Chen, Patrick J. Flynn
2016	—	`conf`	Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images. ISBI Jianxu Chen, Yiqing Cai, Chen Wei, Lin Yang, Mark S. Alber, Danny Ziyi Chen
2015	—	`conf`	A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. MICCAI (3) Jianxu Chen, Shant Mahserejian, Mark S. Alber, Danny Z. Chen
2015	—	`conf`	Iris recognition based on human-interpretable features. ISBA Jianxu Chen, Feng Shen, Danny Ziyi Chen, Patrick J. Flynn
2014	—	`conf`	A Matching Model Based on Earth Mover's Distance for Tracking Myxococcus Xanthus. MICCAI (2) Jianxu Chen, Cameron W. Harvey, Mark S. Alber, Danny Ziyi Chen
2014	B	`conf`	An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images. CBMS Jianxu Chen, Oleg V. Kim, Rustem I. Litvinov, John W. Weisel, Mark S. Alber, Danny Ziyi Chen