Felipe Kitamura

According to our database, Felipe Kitamura authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis.

Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari

CoRR, February, 2026

2025

Evaluating the Clinical Impact of Generative Inpainting on Bone Age Estimation.

Felipe Akio Matsuoka, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Soraya Monteiro, Rodrigo Ragazzini, Nitamar Abdala, Marcelo Straus Takahashi, Felipe C. Kitamura

CoRR, November, 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, Felix Busch, Elif Can, Riccardo Cau, Armando Ugo Cavallo, Christelle Chavihot, Erwin Chiquete, Renato Cuocolo, Eugen Divjak, Gordana Ivanac, Barbara Dziadkowiec Macek, Armel Elogne, Salvatore Claudio Fanni, Carlos Ferrarotti, Claudia Fossataro, Federica Fossataro, Katarzyna Fulek, Michal Fulek, Pawel Gac, Martyna Gachowska, Ignacio Garcia Juarez, Marco Gatti, Natalia Gorelik, Alexia Maria Goulianou, Aghiles Hamroun, Nicolas Herinirina, Krzysztof Kraik, Dominik Krupka, Quentin Holay, Felipe Kitamura, Michail E. Klontzas, Anna Kompanowska, Rafal Kompanowski, Alexandre Lefevre, Tristan Lemke, Maximilian Lindholz, Lukas Muller, Piotr Macek, Marcus R. Makowski, Luigi Mannacio, Aymen Meddeb, Antonio Natale, Beatrice Nguema Edzang, Adriana Ojeda, Yae Won Park, Federica Piccione, Andrea Ponsiglione, Malgorzata Poreba, Rafal Poreba, Philipp Prucker, Jean-Pierre Pruvo, Rosa Alba Pugliesi, Feno Hasina Rabemanorintsoa, Vasileios Rafailidis, Katarzyna Resler, Jan Rotkegel, Luca Saba, Ezann Siebert, Arnaldo Stanzione, Ali Fuat Tekin, Liz Toapanta Yanchapaxi, Matthaios Triantafyllou, Ekaterini Tsaoulia, Evangelia Vassalou, Federica Vernuccio, Johan Wasselius, Weilang Wang, Szymon Urban, Adrian Wlodarczak, Szymon Wlodarczak, Andrzej Wysocki, Lina Xu, Tomasz Zatonski, Shuhang Zhang, Sebastian Ziegelmayer, Grégory Kuchcinski, Keno K. Bressem

CoRR, July, 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

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging.

Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani

J. Imaging Inform. Medicine, 2025

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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline

J. Imaging Inform. Medicine, 2025

2024

Checklist for Reproducibility of Deep Learning in Medical Imaging.

Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani

J. Imaging Inform. Medicine, 2024

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, Shiba Kuanar, Khaled Younis, Bradley J. Erickson, Shahriar Faghani

J. Imaging Inform. Medicine, 2023

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, Jaekwang Lim, Patricia Yokoo, Corie Mitchell, Jimmy Zheng, Maryam Mohammadzadeh, Golnaz Houshmand, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, S. Simon Wong, Safwan Halabi, Kristen W. Yeom

CoRR, 2023

2022

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, Elad Walach, George Shih, Steve Langer

CoRR, 2022

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, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossein Ghanaati, Masoumeh Gity, Hakan Dogan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom

npj Digit. Medicine, 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, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel

npj Digit. Medicine, 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

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

Federated Learning for Breast Density Classification: A Real-World Implementation.

Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020