A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. - Weiwei Zong; Joon Lee; Chang Liu; Eric Nathan Carver; Aharon Feldman; Branislava Janic; Mohamed Elshaikh; Milan Pantelic; David Hearshen; Indrin J. Chetty; Benjamin Movsas; Ning Wen (CoRR, 2019)

Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN. - Zhenzhen Dai; Eric Nathan Carver; Chang Liu; Joon Lee; Aharon Feldman; Weiwei Zong; Milan Pantelic; Mohamed Elshaikh; Ning Wen (CoRR, 2019)

Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth. - Zhenzhen Dai; Ivan Jambor; Pekka Taimen; Milan Pantelic; Mohamed Elshaikh; Craig Rogers; Otto Ettala; Peter J. Boström; Hannu J. Aronen; Harri Merisaari; Ning Wen (CoRR, 2020)

An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. - Reza Khanmohammadi; Mohammad M. Ghassemi; Kyle Verdecchia; Ahmed I. Ghanem; Luo Bing; Indrin J. Chetty; Hassan Bagher-Ebadian; Farzan Siddiqui; Mohamed Elshaikh; Benjamin Movsas; Kundan Thind (CoRR, 2023)

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. - Reza Khanmohammadi; Ahmed I. Ghanem; Kyle Verdecchia; Ryan Hall; Mohamed Elshaikh; Benjamin Movsas; Hassan Bagher-Ebadian; Indrin J. Chetty; Mohammad M. Ghassemi; Kundan Thind (CoRR, 2024)

Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. - Reza Khanmohammadi; Ahmed I. Ghanem; Kyle Verdecchia; Ryan Hall; Mohamed Elshaikh; Benjamin Movsas; Hassan Bagher-Ebadian; Luo Bing; Indrin J. Chetty; Tuka Alhanai; Kundan Thind; Mohammad M. Ghassemi (CoRR, 2024)