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Federated benchmarking of medical artificial intelligence with MedPerf.

A. Karargyris, R. Umeton, M. Sheller, A. Aristizabal, J. George, A. Wuest, S. Pati, H. Kassem, M. Zenk, U. Baid, P. Moorthy, A. Chowdhury, J. Guo, S. Nalawade, J. Rosenthal, D. Kanter, M. Xenochristou, D. Beutel, V. Chung, T. Bergquist, J. Eddy, A. Abid, L. Tunstall, O. Sanseviero, D. Dimitriadis, Y. Qian, X. Xu, Y. Liu, R. Goh, S. Bala, V. Bittorf, S. Puchala, B. Ricciuti, S. Samineni, E. Sengupta, A. Chaudhari, C. Coleman, B. Desinghu, G. Diamos, D. Dutta, D. Feddema, G. Fursin, X. Huang, S. Kashyap, N. Lane, I. Mallick, P. Mascagni, V. Mehta, C. Moraes, V. Natarajan, N. Nikolov, N. Padoy, G. Pekhimenko, V. Reddi, G. Reina, P. Ribalta, A. Singh, J. Thiagarajan, J. Albrecht, T. Wolf, G. Miller, H. Fu, P. Shah, D. Xu, P. Yadav, D. Talby, M. Awad, J. Howard, M. Rosenthal, L. Marchionni, M. Loda, J. Johnson, S. Bakas, and P. Mattson. Nat. Mac. Intell., 5 (7): 799-810 (July 2023)

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Ujjwal Gupta

Suman Baidya

Mahiuddin Baidya

Seema Baid-Agrawal

Zigurds Baidins

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The Federated Tumor Segmentation (FeTS) Challenge.S. Pati, U. Baid, M. Zenk, B. Edwards, M. Sheller, G. Reina, P. Foley, A. Gruzdev, J. Martin, S. Albarqouni and 22 other author(s). CoRR, (2021)Why is the winner the best?M. Eisenmann, A. Reinke, V. Weru, M. Tizabi, F. Isensee, T. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid and 41 other author(s). CoRR, (2023)REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.H. Fang, F. Li, H. Fu, X. Sun, X. Cao, J. Son, S. Yu, M. Zhang, C. Yuan, C. Bian and 18 other author(s). CoRR, (2022)The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.U. Baid, S. Ghodasara, M. Bilello, S. Mohan, E. Calabrese, E. Colak, K. Farahani, J. Kalpathy-Cramer, F. Kitamura, S. Pati and 35 other author(s). CoRR, (2021)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, A. Crimi, R. Shinohara, C. Berger, S. Ha, M. Rozycki and 41 other author(s). CoRR, (2018)Deep Residual Separable Convolutional Neural Network for lung tumor segmentation.P. Dutande, U. Baid, and S. Talbar. Comput. Biol. Medicine, (2022)Federated Learning for the Classification of Tumor Infiltrating Lymphocytes.U. Baid, S. Pati, T. Kurç, R. Gupta, E. Bremer, S. Abousamra, S. Thakur, J. Saltz, and S. Bakas. CoRR, (2022)Colorectal Cancer Segmentation Using Atrous Convolution and Residual Enhanced UNet.N. Shah, D. Gupta, R. Lodaya, U. Baid, and S. Talbar. CVIP (1), volume 1376 of Communications in Computer and Information Science, page 451-462. Springer, (2020)Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet.N. Shah, D. Gupta, R. Lodaya, U. Baid, and S. Talbar. CoRR, (2021)ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.H. Fang, F. Li, H. Fu, X. Sun, X. Cao, F. Lin, J. Son, S. Kim, G. Quellec, S. Matta and 18 other author(s). CoRR, (2022)

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Disambiguation of "Baid, Ujjwal"

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Federated benchmarking of medical artificial intelligence with MedPerf.

Please choose a person to relate this publication to

Ujjwal Gupta

Suman Baidya

Mahiuddin Baidya

Seema Baid-Agrawal

Zigurds Baidins

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Baid, Ujjwal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Federated benchmarking of medical artificial intelligence with MedPerf.

Please choose a person to relate this publication to

Ujjwal Gupta

Suman Baidya

Mahiuddin Baidya

Seema Baid-Agrawal

Zigurds Baidins

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Federated benchmarking of medical artificial intelligence with MedPerf.