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Ujjwal Baid, Ph.D.
Ujjwal Baid, Ph.D.
Director of Research Operations, Emory University (ubaid@emory.edu)
Dirección de correo verificada de emory.edu
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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, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
23002018
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
8672021
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
2392022
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
1682021
Overall survival prediction in glioblastoma with radiomic features using machine learning
U Baid, SU Rane, S Talbar, S Gupta, MH Thakur, A Moiyadi, A Mahajan
Frontiers in computational neuroscience 14, 61, 2020
1112020
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ...
Scientific data 9 (1), 453, 2022
1072022
The federated tumor segmentation (fets) challenge
S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ...
arXiv preprint arXiv:2105.05874, 2021
1022021
A novel approach for fully automatic intra-tumor segmentation with 3D U-Net architecture for gliomas
U Baid, S Talbar, S Rane, S Gupta, MH Thakur, A Moiyadi, N Sable, ...
Frontiers in computational neuroscience 14, 10, 2020
962020
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature machine intelligence 5 (7), 799-810, 2023
942023
The University of California San Francisco preoperative diffuse glioma MRI dataset
E Calabrese, JE Villanueva-Meyer, JD Rudie, AM Rauschecker, U Baid, ...
Radiology: Artificial Intelligence 4 (6), e220058, 2022
842022
LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation
P Dutande, U Baid, S Talbar
Biomedical signal processing and control 67, 102527, 2021
792021
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv 2021
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
712021
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, MH Thakur, A Moiyadi, S Thakur, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
702019
The brain tumor segmentation (BraTS) challenge 2023: focus on pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
AF Kazerooni, N Khalili, X Liu, D Haldar, Z Jiang, SM Anwar, J Albrecht, ...
ArXiv, arXiv: 2305.17033 v7, 2024
682024
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
612023
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, ...
IEEE transactions on medical imaging 41 (10), 2828-2847, 2022
602022
The brain tumor segmentation (brats) challenge 2023: Glioma segmentation in sub-saharan africa patient population (brats-africa)
M Adewole, JD Rudie, A Gbdamosi, O Toyobo, C Raymond, D Zhang, ...
ArXiv, arXiv: 2305.19369 v1, 2023
592023
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
The journal of machine learning for biomedical imaging 2022, https://www …, 2022
532022
Detecting covid-19 and community acquired pneumonia using chest ct scan images with deep learning
S Chaudhary, S Sadbhawna, V Jakhetiya, BN Subudhi, U Baid, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
492021
The Brain Tumor Segmentation-Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
AW Moawad, A Janas, U Baid, D Ramakrishnan, R Saluja, N Ashraf, ...
ArXiv, arXiv: 2306.00838 v2, 2024
482024
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