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2020 – today
- 2024
[i7]Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind:
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. CoRR abs/2402.04075 (2024)- [i6]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:
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. CoRR abs/2408.04775 (2024) - 2023
- [c4]Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) 2023: 592-602 - [i5]Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu:
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. CoRR abs/2308.14936 (2023) - [i4]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:
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. CoRR abs/2311.02205 (2023) - 2022
- [j2]Simeng Zhu
, Marissa Gilbert, Indrin J. Chetty, Farzan Siddiqui:
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use. Int. J. Medical Informatics 165: 104828 (2022) - [i3]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:
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. CoRR abs/2206.06235 (2022) - [i2]Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images. CoRR abs/2210.03189 (2022)
2010 – 2019
- 2019
- [i1]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:
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. CoRR abs/1903.12331 (2019) - 2018
- [j1]Chang Liu, Jinkoo Kim, Akila Kumarasiri, Essa Mayyas, Stephen L. Brown, Ning Wen, Farzan Siddiqui, Indrin J. Chetty:
An automated dose tracking system for adaptive radiation therapy. Comput. Methods Programs Biomed. 154: 1-8 (2018) - 2017
- [c3]Hualiang Zhong, Hoda Sharifi, Haisen Li, Weihua Mao, Indrin J. Chetty:
Prognostic Modeling and Analysis of Tumor Response to Fractionated Radiotherapy for Patients with Squamous Cell Lung Cancer. IWBBIO (2) 2017: 549-559 - 2014
- [c2]Hualiang Zhong, Jing Cai, Carri Glide-Hurst, Indrin J. Chetty:
An adaptive finite element method to cope with a large scale lung deformation in magnetic resonance images. ISBI 2014: 770-773 - 2011
- [c1]Hualiang Zhong, Mingyue Ding, Benjamin Movsas, Indrin J. Chetty:
Development of a patient-specific model for calculation of pulmonary function. ICDIP 2011: 80090H
Coauthor Index
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