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James Janopaul-Naylor
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2020 – today
- 2021
- [c5]Xianjin Dai, Yang Lei
, James Janopaul-Naylor, Tonghe Wang
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy. Image-Guided Procedures 2021 - [c4]Xianjin Dai, Yang Lei
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy. Image Processing 2021 - 2020
- [j2]Hangfan Liu
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020)
2010 – 2019
- 2019
- [c3]Hongming Li, Pamela Boimel, James Janopaul-Naylor
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. ISBI 2019: 846-849 - [c2]Hangfan Liu
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. ISBI 2019: 1303-1306 - [c1]Hangfan Liu
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [i1]Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. CoRR abs/1901.01449 (2019) - 2017
- [j1]James Janopaul-Naylor, C. Ryan Vinroot:
Kostka multiplicity one for multipartitions. Australas. J Comb. 68: 153-185 (2017)
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