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• Zhipeng Ding, Marc Niethammer (2022). Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022.

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• Zhipeng Ding (2022). Toward Solving Groupwise Medical Image Analysis Problems with Deep Learning.

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• Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer (2021). Local Temperature Scaling for Probability Calibration. 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021.

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• 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, 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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