Kirti Magudia

According to our database, Kirti Magudia authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment.

Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella, Jessica L. Houk, Dylan Zhang, Jeffrey D. Rudie, Kirti Magudia, Maciej A. Mazurowski, Evan Calabrese

CoRR, March, 2026

2025

Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol).

Anindo Saha, Joeran S. Bosma, Jasper J. Twilt, Alexander B. C. D. Ng, Aqua Asif, Kirti Magudia, Peder Larson, Qinglin Xie, Xiaodong Zhang, Chi Pham Minh, Samuel N. Gitau, Ivo G. Schoots, Martijn F. Boomsma, Renato Cuocolo, Nikolaos Papanikolaou, Daniele Regge, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Baris Turkbey, Nancy A. Obuchowski, Jurgen J. Fütterer, Anwar R. Padhani, Hashim Uddin Ahmed, Tobias Nordström, Martin Eklund, Veeru Kasivisvanathan, Maarten de Rooij, Henkjan Huisman

CoRR, August, 2025

2024

Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

IEEE Trans. Medical Imaging, July, 2024

Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports.

Mohamed Sobhi Jabal, Pranav I. Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej A. Mazurowski, Walter F. Wiggins, Kirti Magudia, Evan Calabrese

CoRR, 2024

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak

CoRR, 2024

2022

Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

CoRR, 2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

2021

A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees.

Walter F. Wiggins, Michael Travis Caton, Kirti Magudia, Michael H. Rosenthal, Katherine P. Andriole

J. Digit. Imaging, 2021

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications.

Kirti Magudia, Christopher P. Bridge, Katherine P. Andriole, Michael H. Rosenthal

J. Digit. Imaging, 2021