activity
20192024
most citedA Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network

18 citations · 32 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 1 cited

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models

Reza Khanmohammadi, Ahmed I Ghanem, Kyle Verdecchia +7

This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes. Mi…

cs.CL2023

An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology

Reza Khanmohammadi, Mohammad M. Ghassemi, Kyle Verdecchia +8

Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnost…

cs.CV2023★ 11 cited

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

Chengyin Li, Prashant Khanduri, Yao Qiang +3

Segment Anything Model (SAM) is one of the pioneering prompt-based foundation models for image segmentation and has been rapidly adopted for various medical imaging applications. H…

eess.IV2022★ 1 cited

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images

Chengyin Li, Yao Qiang, Rafi Ibn Sultan +4

Computed Tomography (CT) based precise prostate segmentation for treatment planning is challenging due to (1) the unclear boundary of the prostate derived from CT's poor soft tissu…

eess.IV2022★ 1 cited

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization

Weiwei Zong, Eric Carver, Simeng Zhu +9

Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road block…

cs.CV2019★ 18 cited

A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network

Weiwei Zong, Joon Lee, Chang Liu +9

Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X-rays. However, data scarcity has been the roadblock…