Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Sahil Nalawade

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Brain Connectivity|October 8, 2020
BrainNET: Inference of Brain Network Topology Using Machine LearningGowtham Krishnan Murugesan, Chandan Ganesh, Sahil Nalawade, et al.
AJNR. American Journal of Neuroradiology|March 7, 2024
Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep LearningGowtham Murugesan, Fang F Yu, Michael Achilleos, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learningSahil Nalawade, Gowtham K Murugesan, Maryam Vejdani-Jahromi, et al.
Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Brain Connectivity|October 8, 2020
BrainNET: Inference of Brain Network Topology Using Machine LearningGowtham Krishnan Murugesan, Chandan Ganesh, Sahil Nalawade, et al.
AJNR. American Journal of Neuroradiology|March 7, 2024
Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep LearningGowtham Murugesan, Fang F Yu, Michael Achilleos, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learningSahil Nalawade, Gowtham K Murugesan, Maryam Vejdani-Jahromi, et al.
Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1