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Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas.

U. Baid, S. Talbar, S. Rane, S. Gupta, M. Thakur, A. Moiyadi, S. Thakur, and A. Mahajan. BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 369-379. Springer, (2018)

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Ujjwal Gupta

Suman Baidya

Mahiuddin Baidya

Seema Baid-Agrawal

Zigurds Baidins

Other publications of authors with the same name

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)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)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)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)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)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)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)The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).A. Kazerooni, N. Khalili, X. Liu, D. Haldar, Z. Jiang, S. Anwar, J. Albrecht, M. Adewole, U. Anazodo, H. Anderson and 52 other author(s). CoRR, (2023)The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).M. Adewole, J. Rudie, A. Gbadamosi, O. Toyobo, R. Confidence, D. Zhang, O. Omidiji, R. Akinola, M. Suwaid, A. Emegoakor and 41 other author(s). CoRR, (2023)

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Disambiguation of "Baid, Ujjwal"