Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
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ZENK Maximilian BAID Ujjwal PATI Sarthak LINARDOS Akis EDWARDS Brandon SHELLER Micah FOLEY Patrick ARISTIZABAL Alejandro ZIMMERER David GRUZDEV Alexey MARTIN Jason SHINOHARA Russell T REINKE Annika ISENSEE Fabian PARAMPOTTUPADAM Santhosh PAREKH Kaushal FLOCA Ralf KASSEM Hasan BAHETI Bhakti THAKUR Siddhesh CHUNG Verena KUSHIBAR Kaisar LEKADIR Karim JIANG Meirui YIN Youtan YANG Hongzheng LIU Quande CHEN Cheng DOU Qi PHENG-ANN Heng ZHANG Xiaofan ZHANG Shaoting KHAN Muhammad Irfan AZEEM Mohammad Ayyaz JAFARITADI Mojtaba ALHONIEMI Esa KONTIO Elina KHAN Suleiman A MÄCHLER Leon EZHOV Ivan KOFLER Florian SHIT Suprosanna PAETZOLD Johannes C LOEHR Timo WIESTLER Benedikt PEIRIS Himashi PAWAR Kamlesh ZHONG Shenjun CHEN Zhaolin HAYAT Munawar EGAN Gary HARANDI Mehrtash POLAT Ece Isik POLAT Gorkem KOCYIGIT Altan TEMIZEL Alptekin TULADHAR Anup TYAGI Lakshay SOUZA Raissa FORKERT Nils D MOUCHES Pauline WILMS Matthias SHAMBHAT Vishruth MAURYA Akansh DANANNAVAR Shubham Subhas KALLA Rohit ANAND Vikas Kumar KRISHNAMURTHI Ganapathy NALAWADE Sahil GANESH Chandan WAGNER Ben REDDY Divya DAS Yudhajit YU Fang F FEI Baowei MADHURANTHAKAM Ananth J MALDJIAN Joseph SINGH Gaurav REN Jianxun ZHANG Wei AN Ning HU Qingyu ZHANG Youjia ZHOU Ying SIOMOS Vasilis TARRONI Giacomo PASSERRAT-PALMBACH Jonathan RAWAT Ambrish ZIZZO Giulio KADHE Swanand Ravindra EPPERLEIN Jonathan P BRAGHIN Stefano WANG Yuan KANAGAVELU Renuga WEI Qingsong YANG Yechao LIU Yong KOTOWSKI Krzysztof ADAMSKI Szymon MACHURA Bartosz MALARA Wojciech ZARUDZKI Lukasz NALEPA Jakub SHI Yaying GAO Hongjian AVESTIMEHR Salman YAN Yonghong AKBAR Agus S KONDRATEVA Ekaterina YANG Hua LI Zhaopei HUNG-YU Wu ROTH Johannes SAUERESSIG Camillo MILESI Alexandre NGUYEN Quoc D GRUENHAGEN Nathan J TSUNG-MING Huang MA Jun SINGH Har Shwinder H NAI-YU Pan ZHANG Dingwen ZEINELDIN Ramy A FUTREGA Michal YUAN Yading CONTE Gian Marco FENG Xue PHAM Quan D XIA Yong JIANG Zhifan LUU Huan Minh DOBKO Mariia CARRÉ Alexandre TUCHINOV Bair MOHY-UD-DIN Hassan ALAM Saruar SINGH Anup SHAH Nameeta WANG Weichung SAKO Chiharu BILELLO Michel GHODASARA Satyam MOHAN Suyash DAVATZIKOS Christos CALABRESE Evan RUDIE Jeffrey VILLANUEVA-MEYER Javier CHA Soonmee HESS Christopher MONGAN John INGALHALIKAR Madhura JADHAV Manali PANDEY Umang SAINI Jitender HUANG Raymond Y CHANG Ken MINH-SON To BHARDWAJ Sargam CHONG Chee AGZARIAN Marc KOZUBEK Michal LUX Filip MICHÁLEK Jan MATULA Petr KEŘKOVSKÝ Miloš KOPŘIVOVÁ Tereza DOSTÁL Marek VYBÍHAL Václav PINHO Marco C HOLCOMB James METZ Marie JAIN Rajan LEE Matthew D LUI Yvonne W TIWARI Pallavi VERMA Ruchika BAREJA Rohan YADAV Ipsa CHEN Jonathan KUMAR Neeraj GUSEV Yuriy BHUVANESHWAR Krithika SAYAH Anousheh BENCHEQROUN Camelia BELOUALI Anas MADHAVAN Subha COLEN Rivka R KOTROTSOU Aikaterini VOLLMUTH Philipp BRUGNARA Gianluca PREETHA Chandrakanth J SAHM Felix BENDSZUS Martin WICK Wolfgang MAHAJAN Abhishek BALANA Carmen CAPELLADES Jaume PUIG Josep CHOI Yoon Seong SEUNG-KOO Lee CHANG Jong Hee AHN Sung Soo SHAYKH Hassan F HERRERA-TRUJILLO Alejandro TRUJILLO Maria ESCOBAR William ABELLO Ana BERNAL Jose GÓMEZ Jhon LAMONTAGNE Pamela MARCUS Daniel S MILCHENKO Mikhail NAZERI Arash LANDMAN Bennett RAMADASS Karthik XU Kaiwen CHOTAI Silky CHAMBLESS Lola B MISTRY Akshitkumar THOMPSON Reid C SRINIVASAN Ashok BAPURAJ J Rajiv RAO Arvind WANG Nicholas YOSHIAKI Ota MORITANI Toshio TURK Sevcan LEE Joonsang PRABHUDESAI Snehal GARRETT John LARSON Matthew JERAJ Robert LI Hongwei WEISS Tobias WELLER Michael BINK Andrea POUYMAYOU Bertrand SHARMA Sonam TZU-CHI Tseng ADABI Saba FALCAO Alexandre Xavier MARTINS Samuel B TEIXEIRA Bernardo C A SPRENGER Flávia MENOTTI David LUCIO Diego R NICLOU Simone P KEUNEN Olivier ANN-CHRISTIN Hau PELAEZ Enrique FRANCO-MALDONADO Heydy LOAYZA Francis QUEVEDO Sebastian MCKINLEY Richard SLOTBOOM Johannes RADOJEWSKI Piotr MEIER Raphael WIEST Roland TRENKLER Johannes PICHLER Josef NECKER Georg HAUNSCHMIDT Andreas MECKEL Stephan GUEVARA Pamela TORCHE Esteban MENDOZA Cristobal FRANCO Vera RÍOS Elvis LÓPEZ Eduardo VELASTIN Sergio A CHOI Joseph BAEK Stephen KIM Yusung ISMAEL Heba ALLEN Bryan BUATTI John M ZAMPAKIS Peter PANAGIOTOPOULOS Vasileios TSIGANOS Panagiotis ALEXIOU Sotiris HALIASSOS Ilias ZACHARAKI Evangelia I MOUSTAKAS Konstantinos KALOGEROPOULOU Christina KARDAMAKIS Dimitrios M LUO Bing POISSON Laila M WEN Ning VALLIERES Martin LOUTFI Mahdi Ait Lhaj FORTIN David LEPAGE Martin MORÓN Fanny MANDEL Jacob SHUKLA Gaurav LIEM Spencer ALEXANDRE Gregory S LOMBARDO Joseph PALMER Joshua D FLANDERS Adam E DICKER Adam P OGBOLE Godwin OYEKUNLE Dotun ODAFE-OYIBOTHA Olubunmi OSOBU Babatunde HIKIMA Mustapha Shu'aibu SONEYE Mayowa DAKO Farouk DORCAS Adeleye MURCIA Derrick FU Eric HAAS Rourke THOMPSON John A ORMOND David Ryan CURRIE Stuart FATANIA Kavi FROOD Russell SIMPSON Amber L PEOPLES Jacob J HU Ricky CUTLER Danielle MORAES Fabio Y TRAN Anh HAMGHALAM Mohammad BOSS Michael A GIMPEL James VEETTIL Deepak Kattil SCHMIDT Kendall CIMINO Lisa PRICE Cynthia BIALECKI Brian MARELLA Sailaja APGAR Charles JAKAB Andras MARC-ANDRÉ Weber COLAK Errol KLEESIEK Jens FREYMANN John B KIRBY Justin S MAIER-HEIN Lena ALBRECHT Jake MATTSON Peter KARARGYRIS Alexandros SHAH Prashant MENZE Bjoern MAIER-HEIN Klaus BAKAS Spyridon |
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| Rok publikování | 2025 |
| Druh | Článek v odborném periodiku |
| Časopis / Zdroj | Nature Communications |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | https://www.nature.com/articles/s41467-025-60466-1 |
| Doi | http://dx.doi.org/10.1038/s41467-025-60466-1 |
| Popis | Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this end, the Federated Tumor Segmentation (FeTS) Challenge represents the paradigm for real-world algorithmic performance evaluation. The FeTS challenge is a competition to benchmark (i) federated learning aggregation algorithms and (ii) state-of-the-art segmentation algorithms, across multiple international sites. Weight aggregation and client selection techniques were compared using a multicentric brain tumor dataset in realistic federated learning simulations, yielding benefits for adaptive weight aggregation, and efficiency gains through client sampling. Quantitative performance evaluation of state-of-the-art segmentation algorithms on data distributed internationally across 32 institutions yielded good generalization on average, albeit the worst-case performance revealed data-specific modes of failure. Similar multi-site setups can help validate the real-world utility of healthcare AI algorithms in the future. |
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