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

Carlos Fernandez-Granda

Showing results (1-10 of 22) with videos related to

Pageof 3
Sort By:
Retina (Philadelphia, Pa.)|August 16, 2021
ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATIONRony Gelman, Carlos Fernandez-Granda
IEEE Transactions on Information Theory|September 14, 2020
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse ProblemsBrett Bernstein, Sheng Liu, Chrysa Papadaniil, et al.
Micron (Oxford, England : 1993)|November 24, 2025
Revealing information from weak signals in electron energy-loss spectroscopy with a a deep denoiserYifan Wang, Mai Tan, Carlos Fernandez-Granda, et al.
PLOS Digital Health|July 6, 2026
Vision-language models for human motion understanding: Lessons from stroke rehabilitationVictor Li, Naveenraj Kamalakannan, Avinash Parnandi, et al.
Proceedings of Machine Learning Research|August 2, 2021
Towards data-driven stroke rehabilitation via wearable sensors and deep learningAakash Kaku, Avinash Parnandi, Anita Venkatesan, et al.
Proceedings of Machine Learning Research|January 28, 2022
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisKangning Liu, Yiqiu Shen, Nan Wu, et al.
Magnetic Resonance in Medicine|March 28, 2022
Cramér-Rao bound-informed training of neural networks for quantitative MRIXiaoxia Zhang, Quentin Duchemin, Kangning Liu, et al.
Inverse Problems|March 19, 2019
Multicompartment Magnetic Resonance FingerprintingSunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, et al.
Scientific Reports|October 17, 2022
Generalizable deep learning model for early Alzheimer's disease detection from structural MRIsSheng Liu, Arjun V Masurkar, Henry Rusinek, et al.
PLOS Digital Health|November 24, 2022
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation trainingAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Retina (Philadelphia, Pa.)|August 16, 2021
ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATIONRony Gelman, Carlos Fernandez-Granda
IEEE Transactions on Information Theory|September 14, 2020
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse ProblemsBrett Bernstein, Sheng Liu, Chrysa Papadaniil, et al.
Micron (Oxford, England : 1993)|November 24, 2025
Revealing information from weak signals in electron energy-loss spectroscopy with a a deep denoiserYifan Wang, Mai Tan, Carlos Fernandez-Granda, et al.
PLOS Digital Health|July 6, 2026
Vision-language models for human motion understanding: Lessons from stroke rehabilitationVictor Li, Naveenraj Kamalakannan, Avinash Parnandi, et al.
Proceedings of Machine Learning Research|August 2, 2021
Towards data-driven stroke rehabilitation via wearable sensors and deep learningAakash Kaku, Avinash Parnandi, Anita Venkatesan, et al.
Proceedings of Machine Learning Research|January 28, 2022
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisKangning Liu, Yiqiu Shen, Nan Wu, et al.
Magnetic Resonance in Medicine|March 28, 2022
Cramér-Rao bound-informed training of neural networks for quantitative MRIXiaoxia Zhang, Quentin Duchemin, Kangning Liu, et al.
Inverse Problems|March 19, 2019
Multicompartment Magnetic Resonance FingerprintingSunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, et al.
Scientific Reports|October 17, 2022
Generalizable deep learning model for early Alzheimer's disease detection from structural MRIsSheng Liu, Arjun V Masurkar, Henry Rusinek, et al.
PLOS Digital Health|November 24, 2022
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation trainingAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Pageof 3