Articles with public access mandates - Ujjwal BaidLearn more
Not available anywhere: 1
Papers Abstracts
A Mahajan, UR Baid, N Sable, S Talbar, S Rane, A Moyadi, ...
International Journal of Neurooncology 2 (1), 30-74, 2019
Mandates: Department of Science & Technology, India
Available somewhere: 16
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
Mandates: US National Science Foundation, Fundação de Amparo à Pesquisa do Estado de …
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
Mandates: US National Institutes of Health, UK Research & Innovation
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: A*Star, Singapore
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
Mandates: US National Institutes of Health, Agence Nationale de la Recherche
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
Mandates: US Department of Energy, US National Institutes of Health, Helmholtz …
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, 2022
Mandates: US National Institutes of Health, Natural Sciences and Engineering Research …
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, 2023
Mandates: US National Institutes of Health
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research
S Pati, U Baid, B Edwards, MJ Sheller, P Foley, GA Reina, S Thakur, ...
Physics in Medicine & Biology 67 (20), 204002, 2022
Mandates: US National Institutes of Health
The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen
TM Malta, TS Sabedot, NS Morosini, I Datta, L Garofano, W Vallentgoed, ...
Cancer research 84 (5), 741-756, 2024
Mandates: National Fund for Scientific Research, Belgium, Luxembourg National Research …
The brain tumor segmentation (BraTS) challenge 2023: Brain MR image synthesis for tumor segmentation (BraSyn)
HB Li, GM Conte, SM Anwar, F Kofler, I Ezhov, K van Leemput, M Piraud, ...
ArXiv, 2023
Mandates: US National Institutes of Health
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium
MD Lee, SH Patel, S Mohan, H Akbari, S Bakas, MLP Nasrallah, ...
Neuroradiology 65 (9), 1343-1352, 2023
Mandates: US National Institutes of Health
Generative adversarial networks based skin lesion segmentation
S Innani, P Dutande, U Baid, V Pokuri, S Bakas, S Talbar, B Baheti, ...
Scientific Reports 13 (1), 13467, 2023
Mandates: US National Institutes of Health
Author Correction: 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 14 (1), 436, 2023
Mandates: US National Institutes of Health
NIMG-22. Prediction of glioblastoma cellular infiltration and recurrence using machine learning and multi-parametric mri analysis: results from the multi-institutional respond …
H Akbari, S Mohan, JA Garcia, AF Kazerooni, C Sako, S Bakas, G Shukla, ...
Neuro-Oncology 23 (Supplement_6), vi132-vi133, 2021
Mandates: US National Institutes of Health
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