Indrin J. Chetty

According to our database, Indrin J. Chetty authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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 Segmentation of CT Images.

Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu

CoRR, 2022

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

2019

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

2018

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

2017

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

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2014

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

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011

Development of a patient-specific model for calculation of pulmonary function.

Hualiang Zhong, Mingyue Ding, Benjamin Movsas, Indrin J. Chetty

Proceedings of the Third International Conference on Digital Image Processing, 2011