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ORCIDJianxu Chen 0001
Person information
- affiliation: Leibniz-Institut für Analytische Wissenschaften, ISAS, Dortmund, Germany
- affiliation (former): Allen Institute for Cell Science, Seattle, WA, USA
- affiliation (former): University of Notre Dame, IN, USA
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2020 – today
- 2024
[c18]Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen:
Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images. ISBI 2024: 1-5- [c17]Yu Zhou, Shuo Zhao, Justin Sonneck, Jianxu Chen:
2D Label-Free Prediction of Multiple Organelles Across Different Transmitted-Light Microscopy Images with Bag-of-Experts. ISBI 2024: 1-4 - [i18]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:
Implicit Neural Image Field for Biological Microscopy Image Compression. CoRR abs/2405.19012 (2024) - [i17]Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen:
Multimodal Large Language Models for Bioimage Analysis. CoRR abs/2407.19778 (2024) - [i16]Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang:
The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports 14(1): 90-107 (2024) - 2023
- [j5]Zhenge Jia
, Jianxu Chen, Xiaowei Xu, John N. Kheir, Jingtong Hu, Han Xiao, Sui Peng, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi:
The importance of resource awareness in artificial intelligence for healthcare. Nat. Mac. Intell. 5(7): 687-698 (2023) - [c16]Justin Sonneck, Shuo Zhao, Jianxu Chen:
On the risk of manual annotations in 3D confocal microscopy image segmentation. ICCV (Workshops) 2023: 3896-3904 - [i15]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i14]Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen:
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation. CoRR abs/2306.06152 (2023) - [i13]Zixuan Pan, Jianxu Chen, Yiyu Shi:
Masked Diffusion as Self-supervised Representation Learner. CoRR abs/2308.05695 (2023) - [i12]Yu Zhou, Jan Sollman, Jianxu Chen:
Deep learning based Image Compression for Microscopy Images: An Empirical Study. CoRR abs/2311.01352 (2023) - [i11]Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen:
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR abs/2311.03986 (2023) - 2022
- [j4]Yiyu Shi, Yongpan Liu, Jianxu Chen, Steve B. Jiang:
Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. ACM J. Emerg. Technol. Comput. Syst. 18(2): 24:1-24:3 (2022) - [j3]Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen:
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. IEEE Trans. Medical Imaging 41(10): 2582-2597 (2022) - [i10]Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen:
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation. CoRR abs/2206.01309 (2022) - [i9]Justin Sonneck, Jianxu Chen:
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation. CoRR abs/2209.02498 (2022) - 2020
- [c15]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM 2020: 815-820 - [c14]Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen:
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. CBMS 2020: 332-337 - [i8]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. CoRR abs/2012.09373 (2020)
2010 – 2019
- 2019
- [c13]Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. AAAI 2019: 5901-5908 - [c12]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. ISBI 2019: 339-342 - [i7]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. CoRR abs/1901.04949 (2019) - 2018
- [c11]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A new registration approach for dynamic analysis of calcium signals in organs. ISBI 2018: 934-937 - [i6]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs. CoRR abs/1802.00491 (2018) - 2017
- [c10]Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu:
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. DAC 2017: 68:1-68:6 - [c9]Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen:
Neuron Segmentation Using Deep Complete Bipartite Networks. MICCAI (2) 2017: 21-29 - [c8]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. MICCAI (3) 2017: 399-407 - [c7]Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen:
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. MICCAI (3) 2017: 408-416 - [i5]Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu:
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. CoRR abs/1705.10591 (2017) - [i4]Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen:
Neuron Segmentation Using Deep Complete Bipartite Networks. CoRR abs/1705.11053 (2017) - [i3]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. CoRR abs/1706.04737 (2017) - 2016
- [j2]Jianxu Chen, Feng Shen, Danny Ziyi Chen, Patrick J. Flynn:
Iris Recognition Based on Human-Interpretable Features. IEEE Trans. Inf. Forensics Secur. 11(7): 1476-1485 (2016) - [j1]Jianxu Chen, Mark S. Alber, Danny Ziyi Chen:
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. IEEE Trans. Medical Imaging 35(9): 2074-2084 (2016) - [c6]Jianxu Chen, Yiqing Cai, Chen Wei, Lin Yang, Mark S. Alber, Danny Ziyi Chen:
Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images. ISBI 2016: 968-971 - [c5]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. NIPS 2016: 3036-3044 - [i2]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Z. Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. CoRR abs/1609.01006 (2016) - [i1]Jianxu Chen, Chukka Srinivas:
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks. CoRR abs/1612.03217 (2016) - 2015
- [c4]Jianxu Chen, Feng Shen, Danny Ziyi Chen, Patrick J. Flynn:
Iris recognition based on human-interpretable features. ISBA 2015: 1-6 - [c3]Jianxu Chen, Shant Mahserejian, Mark S. Alber, Danny Z. Chen:
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. MICCAI (3) 2015: 284-291 - 2014
- [c2]Jianxu Chen, Oleg V. Kim, Rustem I. Litvinov, John W. Weisel, Mark S. Alber, Danny Ziyi Chen:
An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images. CBMS 2014: 173-178 - [c1]Jianxu Chen, Cameron W. Harvey, Mark S. Alber, Danny Ziyi Chen:
A Matching Model Based on Earth Mover's Distance for Tracking Myxococcus Xanthus. MICCAI (2) 2014: 113-120
Coauthor Index
aka: Danny Z. Chen
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