Development of a patient-specific model for calculation of pulmonary function. - Hualiang Zhong; Mingyue Ding; Benjamin Movsas; Indrin J. Chetty (ICDIP, 2011)

An adaptive finite element method to cope with a large scale lung deformation in magnetic resonance images. - Hualiang Zhong; Jing Cai; Carri Glide-Hurst; Indrin J. Chetty (ISBI, 2014)

Prognostic Modeling and Analysis of Tumor Response to Fractionated Radiotherapy for Patients with Squamous Cell Lung Cancer. - Hualiang Zhong; Hoda Sharifi; Haisen Li; Weihua Mao; Indrin J. Chetty (IWBBIO (2), 2017)

An automated dose tracking system for adaptive radiation therapy. - Chang Liu; Jinkoo Kim; Akila Kumarasiri; Essa Mayyas; Stephen L. Brown; Ning Wen; Farzan Siddiqui; Indrin J. Chetty (Comput. Methods Programs Biomed., 2018)

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)

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. - Weiwei Zong; Eric Nathan Carver; Simeng Zhu; Eric Schaff; Daniel Chapman; Joon Lee; Hassan Bagher-Ebadian; Indrin J. Chetty; Benjamin Movsas; Winston Wen; Tarik Alafif; Xiangyun Zong (CoRR, 2022)

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images. - Chengyin Li; Hassan Bagher-Ebadian; Vikram Goddla; Indrin J. Chetty; Dongxiao Zhu (CoRR, 2022)

The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use. - Simeng Zhu; Marissa Gilbert; Indrin J. Chetty; Farzan Siddiqui (Int. J. Medical Informatics, 2022)

FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. - Chengyin Li; Yao Qiang; Rafi Ibn Sultan; Hassan Bagher-Ebadian; Prashant Khanduri; Indrin J. Chetty; Dongxiao Zhu (MICCAI (3), 2023)

Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. - Chengyin Li; Prashant Khanduri; Yao Qiang; Rafi Ibn Sultan; Indrin J. Chetty; Dongxiao Zhu (CoRR, 2023)

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)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. - Chengyin Li; Hui Zhu 016; Rafi Ibn Sultan; Hassan Bagher-Ebadian; Prashant Khanduri; Indrin J. Chetty; Kundan Thind; Dongxiao Zhu (CoRR, 2024)