Indrin J. Chetty

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction.
CoRR
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
2024 J jnl
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models.
CoRR
Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind
2024 J jnl
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.
CoRR
Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu
2023 J jnl
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology.
CoRR
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
2023 J jnl
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation.
CoRR
Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu
2023 — conf
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images.
MICCAI (3)
Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu
2022 J jnl
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images.
CoRR
Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu
2022 J jnl
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization.
CoRR
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
2022 J jnl
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
Simeng Zhu, Marissa Gilbert, Indrin J. Chetty, Farzan Siddiqui
2019 J jnl
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network.
CoRR
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
2018 J jnl
An automated dose tracking system for adaptive radiation therapy.
Comput. Methods Programs Biomed.
Chang Liu, Jinkoo Kim, Akila Kumarasiri, Essa Mayyas, Stephen L. Brown, Ning Wen, Farzan Siddiqui, Indrin J. Chetty
2017 — conf
Prognostic Modeling and Analysis of Tumor Response to Fractionated Radiotherapy for Patients with Squamous Cell Lung Cancer.
IWBBIO (2)
Hualiang Zhong, Hoda Sharifi, Haisen Li, Weihua Mao, Indrin J. Chetty
2014 — conf
An adaptive finite element method to cope with a large scale lung deformation in magnetic resonance images.
ISBI
Hualiang Zhong, Jing Cai, Carri Glide-Hurst, Indrin J. Chetty
2011 — conf
Development of a patient-specific model for calculation of pulmonary function.
ICDIP
Hualiang Zhong, Mingyue Ding, Benjamin Movsas, Indrin J. Chetty