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arxiv: 2305.08992 · v3 · pith:BSGUJGM7new · submitted 2023-05-15 · 📡 eess.IV · cs.CV· cs.LG

The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

Florian Kofler , Felix Meissen , Felix Steinbauer , Robert Graf , Stefan K Ehrlich , Annika Reinke , Eva Oswald , Diana Waldmannstetter
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Florian Hoelzl Izabela Horvath Oezguen Turgut Suprosanna Shit Christina Bukas Kaiyuan Yang Johannes C. Paetzold Ezequiel de da Rosa Isra Mekki Shankeeth Vinayahalingam Hasan Kassem Juexin Zhang Ke Chen Ying Weng Alicia Durrer Philippe C. Cattin Julia Wolleb M. S. Sadique M. M. Rahman W. Farzana A. Temtam K. M. Iftekharuddin Maruf Adewole Syed Muhammad Anwar Ujjwal Baid Anastasia Janas Anahita Fathi Kazerooni Dominic LaBella Hongwei Bran Li Ahmed W Moawad Gian-Marco Conte Keyvan Farahani James Eddy Micah Sheller Sarthak Pati Alexandros Karagyris Alejandro Aristizabal Timothy Bergquist Verena Chung Russell Takeshi Shinohara Farouk Dako Walter Wiggins Zachary Reitman Chunhao Wang Xinyang Liu Zhifan Jiang Elaine Johanson Zeke Meier Ariana Familiar Christos Davatzikos John Freymann Justin Kirby Michel Bilello Hassan M Fathallah-Shaykh Roland Wiest Jan Kirschke Rivka R Colen Aikaterini Kotrotsou Pamela Lamontagne Daniel Marcus Mikhail Milchenko Arash Nazeri Marc-Andr\'e Weber Abhishek Mahajan Suyash Mohan John Mongan Christopher Hess Soonmee Cha Javier Villanueva-Meyer Errol Colak Priscila Crivellaro Andras Jakab Abiodun Fatade Olubukola Omidiji Rachel Akinola Lagos O O Olatunji Goldey Khanna John Kirkpatrick Michelle Alonso-Basanta Arif Rashid Miriam Bornhorst Ali Nabavizadeh Natasha Lepore Joshua Palmer Antonio Porras Jake Albrecht Udunna Anazodo Mariam Aboian Evan Calabrese Jeffrey David Rudie Marius George Linguraru Juan Eugenio Iglesias Koen Van Leemput Spyridon Bakas Benedikt Wiestler Ivan Ezhov Marie Piraud Bjoern H Menze
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classification 📡 eess.IV cs.CVcs.LG
keywords brainchallengealgorithmshealthyinpaintingbratsimagessegmentation
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A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This poses problems, as many algorithms are designed to analyze healthy brains and provide no guarantee for images featuring lesions. Examples include, but are not limited to, algorithms for brain anatomy parcellation, tissue segmentation, and brain extraction. To solve this dilemma, we introduce the BraTS inpainting challenge. Here, the participants explore inpainting techniques to synthesize healthy brain scans from lesioned ones. The following manuscript contains the task formulation, dataset, and submission procedure. Later, it will be updated to summarize the findings of the challenge. The challenge is organized as part of the ASNR-BraTS MICCAI challenge.

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Cited by 3 Pith papers

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