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

Suraj Rajendran

Showing results (11-20 of 22) with videos related to

Pageof 3
Sort By:
IEEE Transactions on Visualization and Computer Graphics|November 20, 2025
TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical TrialsRui Sheng, Xingbo Wang, Jiachen Wang, et al.
Nature Communications|May 13, 2025
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
Medrxiv : the Preprint Server for Health Sciences|March 18, 2024
Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
JCO Clinical Cancer Informatics|January 7, 2021
Cloud-Based Federated Learning Implementation Across Medical CentersSuraj Rajendran, Jihad S Obeid, Hamidullah Binol, et al.
Nature Communications|July 11, 2025
A foundational model for in vitro fertilization trained on 18 million time-lapse imagesSuraj Rajendran, Eeshaan Rehani, William Phu, et al.
Cureus|June 6, 2022
Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access SimulatorMichael W Pullen, Fidel Valero-Moreno, Suraj Rajendran, et al.
Nature Communications|September 5, 2024
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse ImagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
The Lancet. Digital Health|December 21, 2022
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation studyJosue Barnes, Matthew Brendel, Vianne R Gao, et al.
Iscience|April 6, 2023
Biomedical discovery through the integrative biomedical knowledge hub (iBKH)Chang Su, Yu Hou, Manqi Zhou, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Visualization and Computer Graphics|November 20, 2025
TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical TrialsRui Sheng, Xingbo Wang, Jiachen Wang, et al.
Nature Communications|May 13, 2025
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
Medrxiv : the Preprint Server for Health Sciences|March 18, 2024
Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
JCO Clinical Cancer Informatics|January 7, 2021
Cloud-Based Federated Learning Implementation Across Medical CentersSuraj Rajendran, Jihad S Obeid, Hamidullah Binol, et al.
Nature Communications|July 11, 2025
A foundational model for in vitro fertilization trained on 18 million time-lapse imagesSuraj Rajendran, Eeshaan Rehani, William Phu, et al.
Cureus|June 6, 2022
Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access SimulatorMichael W Pullen, Fidel Valero-Moreno, Suraj Rajendran, et al.
Nature Communications|September 5, 2024
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse ImagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
The Lancet. Digital Health|December 21, 2022
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation studyJosue Barnes, Matthew Brendel, Vianne R Gao, et al.
Iscience|April 6, 2023
Biomedical discovery through the integrative biomedical knowledge hub (iBKH)Chang Su, Yu Hou, Manqi Zhou, et al.
Pageof 3