9 citations · 9 across the 2 of their papers we have counts for
3 papers
eess.IV2019★ 9 cited
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
Yongkai Liu, Guang Yang, Sohrab Afshari Mirak +7
Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independe…
eess.IV2019
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI
Ruiming Cao, Xinran Zhong, Fabien Scalzo +2
Recent advances in medical imaging techniques have led to significant improvements in the management of prostate cancer (PCa). In particular, multi-parametric MRI (mp-MRI) continue…
physics.med-ph2019
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Jie Fu, Xinran Zhong, Ning Li +6
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed…