Xu Han is a graduate student in computer science. He works on image registration approaches for images with pathologies.
Interests
- Registration for Images with Pathologies
- Machine Learning
Education
PhD in Computer Science, Expected 2020
UNC Chapel Hill
MSc in Electrical Engineering, 2012
Northwestern University
BEng in Electrical Engineering & Automation, 2011
Zhejiang University
Latest
- Xu Han, Jun Hong, Marsha Reyngold, Christopher Crane, John Cuaron, Carla Hajj, Justin Mann, Melissa Zinovoy, Hastings Greer, Ellen Yorke, Gig Mageras, Marc Niethammer (2021). Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer. Medical Physics.
- 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.
- Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer (2020). Local Temperature Scaling for Probability Calibration. CoRR.
- 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.
- 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.
- 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.
- Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer (2018). Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. NeuroImage.
- Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer (2018). Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I.
- Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer (2017). Efficient registration of pathological images: A joint PCA/image-reconstruction approach. 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017.
- Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer (2016). Registration of Pathological Images. Simulation and Synthesis in Medical Imaging - First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings.