Jianxu Chen

According to our database, Jianxu Chen authored at least 33 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042).

Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang

Dagstuhl Reports, 2024

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective.

Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi

CoRR, 2024

Multimodal Large Language Models for Bioimage Analysis.

Shanghang Zhang, Gaole Dai, Tie-Jun Huang, Jianxu Chen

CoRR, 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, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang

CoRR, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images.

Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

The importance of resource awareness in artificial intelligence for healthcare.

Zhenge Jia, Jianxu Chen, Xiaowei Xu, John N. Kheir, Jingtong Hu, Han Xiao, Sui Peng, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi

Nat. Mac. Intell., July, 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

CoRR, 2023

Deep learning based Image Compression for Microscopy Images: An Empirical Study.

Yu Zhou, Jan Sollman, Jianxu Chen

CoRR, 2023

Masked Diffusion as Self-supervised Representation Learner.

Zixuan Pan, Jianxu Chen, Yiyu Shi

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

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

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

CoRR, 2023

On the risk of manual annotations in 3D confocal microscopy image segmentation.

Justin Sonneck, Shuo Zhao, Jianxu Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation.

Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen

IEEE Trans. Medical Imaging, 2022

Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications.

Yiyu Shi, Yongpan Liu, Jianxu Chen, Steve B. Jiang

ACM J. Emerg. Technol. Comput. Syst., 2022

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation.

Justin Sonneck, Jianxu Chen

CoRR, 2022

2020

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.

Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.

Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.

Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Biomedical Image Segmentation via Representative Annotation.

Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A new registration approach for dynamic analysis of calcium signals in organs.

Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images.

Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.

Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Neuron Segmentation Using Deep Complete Bipartite Networks.

Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs.

Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms.

Jianxu Chen, Mark S. Alber, Danny Ziyi Chen

IEEE Trans. Medical Imaging, 2016

Iris Recognition Based on Human-Interpretable Features.

Jianxu Chen, Feng Shen, Danny Ziyi Chen, Patrick J. Flynn

IEEE Trans. Inf. Forensics Secur., 2016

Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks.

Jianxu Chen, Chukka Srinivas

CoRR, 2016

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation.

Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images.

Jianxu Chen, Yiqing Cai, Chen Wei, Lin Yang, Mark S. Alber, Danny Ziyi Chen

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms.

Jianxu Chen, Shant Mahserejian, Mark S. Alber, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

A Matching Model Based on Earth Mover's Distance for Tracking Myxococcus Xanthus.

Jianxu Chen, Cameron W. Harvey, Mark S. Alber, Danny Ziyi Chen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images.

Jianxu Chen, Oleg V. Kim, Rustem I. Litvinov, John W. Weisel, Mark S. Alber, Danny Ziyi Chen

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014