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Jianxu 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 - [i19]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) - [i18]Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen:
Multimodal Large Language Models for Bioimage Analysis. CoRR abs/2407.19778 (2024) - [i17]Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi:
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. CoRR abs/2408.08228 (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
The importance of resource awareness in artificial intelligence for healthcare. Nat. Mac. Intell. 5(7): 687-698 (2023) - [c16]Justin Sonneck, Shuo Zhao
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
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i14]Yu Zhou, Justin Sonneck, Sweta Banerjee
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
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
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM 2020: 815-820 - [c14]Peixian Liang, Jianxu 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
Biomedical Image Segmentation via Representative Annotation. AAAI 2019: 5901-5908 - [c12]Peixian Liang, Jianxu 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
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
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. DAC 2017: 68:1-68:6 - [c9]Jianxu Chen
Neuron Segmentation Using Deep Complete Bipartite Networks. MICCAI (2) 2017: 21-29 - [c8]Lin Yang, Yizhe Zhang, Jianxu Chen
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. MICCAI (3) 2017: 399-407 - [c7]Yizhe Zhang, Lin Yang, Jianxu 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
Iris Recognition Based on Human-Interpretable Features. IEEE Trans. Inf. Forensics Secur. 11(7): 1476-1485 (2016) - [j1]Jianxu Chen
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. IEEE Trans. Medical Imaging 35(9): 2074-2084 (2016) - [c6]Jianxu 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
A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms. MICCAI (3) 2015: 284-291 - 2014
- [c2]Jianxu Chen
An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images. CBMS 2014: 173-178 - [c1]Jianxu 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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