Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. - Romane Gauriau; Christopher P. Bridge; Lina Chen; Felipe Kitamura; Neil A. Tenenholtz; John E. Kirsch; Katherine P. Andriole; Mark H. Michalski; Bernardo C. Bizzo (J. Digit. Imaging, 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)

Automated coronary calcium scoring using deep learning with multicenter external validation. - David Eng; Christopher Chute; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Sam Shleifer; Mohamed H. Khalaf; Alexander T. Sandhu; Fátima Rodriguez; David J. Maron; Saeed Seyyedi; Daniele Marin; et al. (npj Digit. Medicine, 2021)

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. - Edward H. Lee; Jimmy Zheng; Errol Colak; Maryam Mohammadzadeh; Golnaz Houshmand; Nicholas Bevins; Felipe Kitamura; Emre Altinmakas; Eduardo Pontes Reis; Jae-Kwang Kim; Chad Klochko; Michelle Han; et al. (npj Digit. Medicine, 2021)

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification. - Timothy L. Kline; Felipe Kitamura; Ian Pan; Amine M. Korchi; Neil A. Tenenholtz; Linda Moy; Judy Wawira Gichoya; Igor Santos; Steven Blumer; Misha Ysabel Hwang; Kim-Ann Git; Abishek Shroff; et al. (CoRR, 2022)

Federated Learning on Heterogenous Data using Chest CT. - Edward H. Lee; Brendan Kelly; Emre Altinmakas; Hakan Dogan; Errol Colak; Steve Fu; Olivia Choudhury; Ujjwal Ratan; Felipe Kitamura; Hernan Chaves; Mourad Said; Eduardo Pontes Reis; et al. (CoRR, 2023)

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. - Mana Moassefi; Pouria Rouzrokh; Gian Marco Conte; Sanaz Vahdati; Tianyuan Fu; Aylin Tahmasebi; Mira Younis; Keyvan Farahani; Amilcare Gentili; Timothy Kline; Felipe C. Kitamura; Yuankai Huo; et al. (J. Imaging Inform. Medicine, 2023)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. - Farhad Maleki; Linda Moy; Reza Forghani; Tapotosh Ghosh; Katie L. Ovens; Steve Langer; Pouria Rouzrokh; Bardia Khosravi; Ali Ganjizadeh; Daniel I. Warren; Roxana Daneshjou; Mana Moassefi; et al. (CoRR, 2024)

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)

PARROT: An Open Multilingual Radiology Reports Dataset. - Bastien Le Guellec; Kokou Adambounou; Lisa C. Adams; Thibault Agripnidis; Sungsoo Ahn; Radhia Ait Chalal; Tugba Akinci D. Antonoli; Philippe Amouyel; Henrik Andersson; Raphael Bentegeac; Claudio Benzoni; Antonino Andrea Blandino; et al. (CoRR, 2025)