Zhipeng Ding

Zhipeng Ding is a graduate student in computer science. He works on image segmentation, image registration, and multi-atlas segmentation approaches.

Zhipeng Ding, Marc Niethammer (2021). Votenet++: Registration Refinement For Multi-Atlas Segmentation. 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021.
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Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer (2020). Local Temperature Scaling for Probability Calibration. CoRR.
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Zhipeng Ding, Xu Han, Marc Niethammer (2020). Votenet+: An Improved Deep Learning Label Fusion Method for Multi-Atlas Segmentation. 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020.
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Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer (2019). Fast predictive simple geodesic regression. Medical Image Anal..
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Zhipeng Ding, Xu Han, Marc Niethammer (2019). VoteNet: A Deep Learning Label Fusion Method for Multi-atlas Segmentation. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III.
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Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer (2017). Fast Predictive Simple Geodesic Regression. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings.
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