Adam E. Flanders

According to our database, Adam E. Flanders authored at least 23 papers between 2003 and 2026.

Collaborative distances:

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

2026

Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports.

Yishu Wei, Yi Lin, Adam E. Flanders, George Shih, Yifan Peng

CoRR, April, 2026

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

Hexin Dong, Yi Lin, Pengyu Zhou, Fengnian Zhao, Alan Clint Legasto, Juno Cho, Dohui Kim, Justin Namuk Kim, Mingeon Kim, Sunwoo Kwak, Gabriel Moyà-Alcover, Ky Trung Nguyen, Thanh-Huy Nguyen, Ha-Hieu Pham, Huy-Hieu Pham, Huy Le Pham, Nikhileswara Rao Sulake, Aina Tur-Serrano, Ruichi Zhang, Ang Zu, Adam E. Flanders, Zhiyong Lu, Ronald M. Summers, Mingquan Lin, Hao Chen, Yuzhe Yang, George Shih, Yifan Peng

CoRR, April, 2026

RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR).

Yishu Wei, Adam E. Flanders, Errol Colak, John Mongan, Luciano M. Prevedello, Po-Hao Chen, Henrique Min Ho Lee, Gilberto Szarf, Hamilton Shoji, Jason Sho, Katherine P. Andriole, Tessa Sundaram Cook, Lisa C. Adams, Linda C. Chu, Maggie Chung, Geraldine Brusca-Augello, Djeven P. Deva, Navneet Singh, Felipe Antonio Sanchez Tijmes, Jeffrey B. Alpert, Elsie T. Nguyen, Drew A. Torigian, Kate Hanneman, Lauren K. Groner, Alexander Phan, Ali Islam, Matias F. Callejas, Gustavo Borges da Silva Teles, Faisal Jamal, Maryam Vazirabad, Ali Tejani, Hari Trivedi, Paulo Eduardo de Aguiar Kuriki, Rajesh Bhayana, Elana T. Benishay, Yi Lin, Yifan Peng, George Shih

CoRR, January, 2026

2025

A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool.

Adam E. Flanders, Yifan Peng, Luciano M. Prevedello, Robyn L. Ball, Errol Colak, Prahlad Menon, George Shih, Hui-Ming Lin, Paras Lakhani

CoRR, October, 2025

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Tyler Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Júdice de Mattos Farina, Eduardo Caminha Nunes, Michael Brassil, Megan McNamara, Johanna Ortiz, Jacob Peoples, Vinson L. Uytana, Anthony Kam, Venkata N. S. Dola, Daniel Murphy, David Vu, Dataset Contributor Group, Dataset Annotator Group, Competition Data Notebook Group, Jason F. Talbott

CoRR, June, 2025

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray.

Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng

CoRR, June, 2025

Generative Large Language Models Trained for Detecting Errors in Radiology Reports.

Cong Sun, Kurt Teichman, Yiliang Zhou, Brian Critelli, David Nauheim, Graham Keir, Xindi Wang, Judy Zhong, Adam E. Flanders, George Shih, Yifan Peng

CoRR, April, 2025

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray.

Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng

Medical Image Anal., 2025

2024

Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels.

Yishu Wei, Xindi Wang, Hanley Ong, Yiliang Zhou, Adam E. Flanders, George Shih, Yifan Peng

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

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs.

Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel, Adam E. Flanders, George Shih, Yifan Peng

CoRR, 2024

2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese

CoRR, 2023

Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.

David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani

CoRR, 2023

2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James A. Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas

CoRR, 2021

2020

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.

Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou, Mikhail Milchenko, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas

NeuroImage, 2020

2019

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.

Varun Singh, Varun Danda, Richard J. T. Gorniak, Adam E. Flanders, Paras Lakhani

J. Digit. Imaging, 2019

2018

Application of Color Transformation Techniques in Pediatric Spinal Cord MR Images: Typically Developing and Spinal Cord Injury Population.

Mahdi Alizadeh, Pallav Shah, Chris J. Conklin, Devon M. Middleton, Sona Saksena, Adam E. Flanders, Laura Krisa, MJ Mulcahey, Scott Faro, Feroze B. Mohamed

J. Digit. Imaging, 2018

2017

Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks.

Vishal Desai, Adam E. Flanders, Paras Lakhani

CoRR, 2017

2013

QRSE: a Novel Metric for the Evaluation of Trainee Radiologist Reporting Skills.

David Surrey, Richard E. Sharpe Jr., Richard J. T. Gorniak, Levon Nazarian, Vijay M. Rao, Adam E. Flanders

J. Digit. Imaging, 2013

2012

Radiology Report Comparator: A Novel Method to Augment Resident Education.

Richard E. Sharpe Jr., David Surrey, Richard J. T. Gorniak, Levon Nazarian, Vijay M. Rao, Adam E. Flanders

J. Digit. Imaging, 2012

2011

Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek.

Daniel L. Rubin, Adam E. Flanders, Woojin Kim, Khan M. Siddiqui, Charles E. Kahn

J. Digit. Imaging, 2011

2010

An Integrative Approach for In Silico Glioma Research.

Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz

IEEE Trans. Biomed. Eng., 2010

2003

The Brain's Response to Incidental Intruded Words during Focal Text Processing.

Joseph Tracy, Adam E. Flanders, Saaussan Madi, Peter Natale, Nicole Delvecchio, Ayis Pyrros, Joseph Laskas

NeuroImage, 2003