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

Ruchika Verma

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Radiology. Artificial Intelligence|April 13, 2021
The Pursuit of Generalizability to Enable Clinical Translation of RadiomicsPallavi Tiwari, Ruchika Verma
QJM : Monthly Journal of the Association of Physicians|October 11, 2025
Electric Cataract after High-Voltage InjuryRuchika Verma, Vipasha Sharma, Sonam Yangzes
IEEE Transactions on Medical Imaging|March 14, 2017
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational PathologyNeeraj Kumar, Ruchika Verma, Sanuj Sharma, et al.
IEEE Transactions on Medical Imaging|April 1, 2022
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge"Ruchika Verma, Neeraj Kumar, Abhijeet Patil, et al.
Frontiers in Artificial Intelligence|October 9, 2024
Artificial intelligence and machine learning applications for cultured meatMichael E Todhunter, Sheikh Jubair, Ruchika Verma, et al.
The Journal of Pathology|January 10, 2022
Computer-extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumorsNeeraj Kumar, Ruchika Verma, Chuheng Chen, et al.
Cancer Research Communications|December 31, 2024
Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide ImagesNikhil Cherian Kurian, Peter H Gann, Neeraj Kumar, et al.
IEEE Transactions on Bio-Medical Engineering|June 20, 2023
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival PredictionShi-Ang Qi, Neeraj Kumar, Ruchika Verma, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|July 18, 2023
Learning Individual Survival Models from PanCancer Whole Transcriptome DataNeeraj Kumar, Daniel Skubleny, Michael Parkes, et al.
Medical Physics|November 11, 2020
Technical Note: MRQy - An open-source tool for quality control of MR imaging dataAmir Reza Sadri, Andrew Janowczyk, Ren Zhou, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Radiology. Artificial Intelligence|April 13, 2021
The Pursuit of Generalizability to Enable Clinical Translation of RadiomicsPallavi Tiwari, Ruchika Verma
QJM : Monthly Journal of the Association of Physicians|October 11, 2025
Electric Cataract after High-Voltage InjuryRuchika Verma, Vipasha Sharma, Sonam Yangzes
IEEE Transactions on Medical Imaging|March 14, 2017
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational PathologyNeeraj Kumar, Ruchika Verma, Sanuj Sharma, et al.
IEEE Transactions on Medical Imaging|April 1, 2022
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge"Ruchika Verma, Neeraj Kumar, Abhijeet Patil, et al.
Frontiers in Artificial Intelligence|October 9, 2024
Artificial intelligence and machine learning applications for cultured meatMichael E Todhunter, Sheikh Jubair, Ruchika Verma, et al.
The Journal of Pathology|January 10, 2022
Computer-extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumorsNeeraj Kumar, Ruchika Verma, Chuheng Chen, et al.
Cancer Research Communications|December 31, 2024
Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide ImagesNikhil Cherian Kurian, Peter H Gann, Neeraj Kumar, et al.
IEEE Transactions on Bio-Medical Engineering|June 20, 2023
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival PredictionShi-Ang Qi, Neeraj Kumar, Ruchika Verma, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|July 18, 2023
Learning Individual Survival Models from PanCancer Whole Transcriptome DataNeeraj Kumar, Daniel Skubleny, Michael Parkes, et al.
Medical Physics|November 11, 2020
Technical Note: MRQy - An open-source tool for quality control of MR imaging dataAmir Reza Sadri, Andrew Janowczyk, Ren Zhou, et al.
Pageof 3