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

Madhumitha Rabindranath

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Hepatology International|May 16, 2022
The promise of artificial intelligence for predictive biomarkers in hepatologyMamatha Bhat, Madhumitha Rabindranath
Clinical Transplantation|April 17, 2025
Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging DataMadhumitha Rabindranath, Yingji Sun, Korosh Khalili, et al.
Journal of Hepatology|May 19, 2023
Artificial intelligence, machine learning, and deep learning in liver transplantationMamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Transplantation|July 23, 2024
Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?Madhumitha Rabindranath, Maryam Naghibzadeh, Xun Zhao, et al.
Transplantation Direct|October 19, 2023
A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to DiagnosisMadhumitha Rabindranath, Rita Zaya, Khairunnadiya Prayitno, et al.
Journal of Clinical Pathology|February 16, 2022
Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide imagesMichael Kyung Ik Lee, Madhumitha Rabindranath, Kevin Faust, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|June 20, 2024
The emerging role of generative artificial intelligence in transplant medicineMaya Deeb, Anirudh Gangadhar, Madhumitha Rabindranath, et al.
Neuro-Oncology Advances|February 14, 2022
Integrating morphologic and molecular histopathological features through whole slide image registration and deep learningKevin Faust, Michael K Lee, Anglin Dent, et al.
Transplantation Reviews (Orlando, Fla.)|March 13, 2025
Assessing cumulative exposure to maintenance immunosuppressive drugs: Metrics, outcomes, and implications for transplant patientsCavizshajan Skanthan, Emily Nguyen, Lakindu Somaweera, et al.
Surgery|November 28, 2024
Comparative analysis of treatment modalities for solitary, small (≤3 cm) hepatocellular carcinoma: A systematic review and network meta-analysis of oncologic outcomesWoo Jin Choi, Tommy Ivanics, Luckshi Rajendran, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Hepatology International|May 16, 2022
The promise of artificial intelligence for predictive biomarkers in hepatologyMamatha Bhat, Madhumitha Rabindranath
Clinical Transplantation|April 17, 2025
Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging DataMadhumitha Rabindranath, Yingji Sun, Korosh Khalili, et al.
Journal of Hepatology|May 19, 2023
Artificial intelligence, machine learning, and deep learning in liver transplantationMamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Transplantation|July 23, 2024
Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?Madhumitha Rabindranath, Maryam Naghibzadeh, Xun Zhao, et al.
Transplantation Direct|October 19, 2023
A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to DiagnosisMadhumitha Rabindranath, Rita Zaya, Khairunnadiya Prayitno, et al.
Journal of Clinical Pathology|February 16, 2022
Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide imagesMichael Kyung Ik Lee, Madhumitha Rabindranath, Kevin Faust, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|June 20, 2024
The emerging role of generative artificial intelligence in transplant medicineMaya Deeb, Anirudh Gangadhar, Madhumitha Rabindranath, et al.
Neuro-Oncology Advances|February 14, 2022
Integrating morphologic and molecular histopathological features through whole slide image registration and deep learningKevin Faust, Michael K Lee, Anglin Dent, et al.
Transplantation Reviews (Orlando, Fla.)|March 13, 2025
Assessing cumulative exposure to maintenance immunosuppressive drugs: Metrics, outcomes, and implications for transplant patientsCavizshajan Skanthan, Emily Nguyen, Lakindu Somaweera, et al.
Surgery|November 28, 2024
Comparative analysis of treatment modalities for solitary, small (≤3 cm) hepatocellular carcinoma: A systematic review and network meta-analysis of oncologic outcomesWoo Jin Choi, Tommy Ivanics, Luckshi Rajendran, et al.
Pageof 2