57 citations · 92 across the 6 of their papers we have counts for
6 papers
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer
Anjali Balagopal, Michael Dohopolski, Young Suk Kwon +9
Background and purpose: Radiation-induced erectile dysfunction (RiED) is commonly seen in prostate cancer patients. Clinical trials have been developed in multiple institutions to…
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal +6
Typically, the current dose prediction models are limited to small amounts of data and require re-training for a specific site, often leading to suboptimal performance. We propose…
An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images
Jie Fu, Kamal Singhrao, Xinran Zhong +5
We proposed a fully automatic workflow for glioblastoma (GBM) survival prediction using deep learning (DL) methods. 285 glioma (210 GBM, 75 low-grade glioma) patients were included…
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…
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…
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…