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)

An Integrative Approach for In Silico Glioma Research. - Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Fusheng Wang 001; Sharath R. Cholleti; Tony C. Pan; Patrick M. Widener; Ashish Sharma 001; Tom Mikkelsen; Adam E. Flanders; Daniel L. Rubin; Erwin G. Van Meir; et al. (IEEE Trans. Biomed. Eng., 2010)

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)

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)

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)

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)

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)

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)

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; et al. (NeuroImage, 2020)

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; et al. (CoRR, 2021)

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; et al. (CoRR, 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; et al. (CoRR, 2023)

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 002 (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; et al. (CoRR, 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 002 (CoRR, 2024)

Generative Large Language Models Trained for Detecting Errors in Radiology Reports. - Cong Sun 004; Kurt Teichman; Yiliang Zhou; Brian Critelli; David Nauheim; Graham Keir; Xindi Wang; Judy Zhong; Adam E. Flanders; George Shih; Yifan Peng 002 (CoRR, 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 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 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; et al. (CoRR, 2025)