Zhengyang Shen

Ph.D. in Computer Science

UNC Chapel Hill

Zhengyang Shen completed his PhD in Computer Science in 2022. He worked on fast deep learning approaches for image and pointset registration. He is currently works at Google.

Interests

Image Registration
Image Segmentation
Machine Learning

Education

BSc in Biomedical Engineering, 2016

Beihang University

Latest

Zhengyang Shen (2022). Accurate, Fast and Controllable Image and Point Cloud Registration.
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Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu (2022). DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal..
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Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer (2021). Accurate Point Cloud Registration with Robust Optimal Transport. Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.
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easyreg
Mermaid
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer (2020). A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings.
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Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer (2020). Adversarial Data Augmentation via Deformation Statistics. Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX.
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Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer (2020). Anatomical Data Augmentation via Fluid-Based Image Registration. Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III.
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Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer (2020). Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images. Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III.
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Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer (2019). Networks for Joint Affine and Non-Parametric Image Registration. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019.
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Zhengyang Shen, François-Xavier Vialard, Marc Niethammer (2019). Region-specific Diffeomorphic Metric Mapping. Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada.
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Zhenlin Xu, Zhengyang Shen, Marc Niethammer (2018). Contextual Additive Networks to Efficiently Boost 3D Image Segmentations. Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings.
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