Zhenlin Xu

Graduate Student in Computer Science

UNC Chapel Hill

Zhenlin Xu is a Ph.D. student in computer science. He works on deep learning approaches for image registration, image segmentation, and learning robust and generalizable visual representation. See more about him here.

Interests

Medical Image Analysis
Computer Vision
Machine Learning

Education

PhD in Computer Science, Expected 2021

UNC Chapel Hill
MSc in Imaging Science, 2016

Rochester Institute of Technology
BSc in Optical Information Science and Technology, 2014

Xi'an Jiaotong University

Latest

Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer (2021). Robust and Generalizable Visual Representation Learning via Random Convolutions. 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021.
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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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Zhenlin Xu, Marc Niethammer (2019). DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II.
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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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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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