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

Alex Olar

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Scientific Reports|March 15, 2023
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainabilityAlex Olar, András Biricz, Zsolt Bedőházi, et al.
Scientific Reports|December 9, 2022
Physical imaging parameter variation drives domain shiftOz Kilim, Alex Olar, Tamás Joó, et al.
Scientific Data|January 19, 2024
Annotated dataset for training deep learning models to detect astrocytes in human brain tissueAlex Olar, Teadora Tyler, Paulina Hoppa, et al.
NPJ Precision Oncology|January 25, 2025
Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Medrxiv : the Preprint Server for Health Sciences|June 17, 2024
Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Scientific Data|June 28, 2022
HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screeningBálint Ármin Pataki, Alex Olar, Dezső Ribli, et al.
JAMA Network Open|August 29, 2022
A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid ArthritisDongmei Sun, Thanh M Nguyen, Robert J Allaway, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 15, 2023
Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainabilityAlex Olar, András Biricz, Zsolt Bedőházi, et al.
Scientific Reports|December 9, 2022
Physical imaging parameter variation drives domain shiftOz Kilim, Alex Olar, Tamás Joó, et al.
Scientific Data|January 19, 2024
Annotated dataset for training deep learning models to detect astrocytes in human brain tissueAlex Olar, Teadora Tyler, Paulina Hoppa, et al.
NPJ Precision Oncology|January 25, 2025
Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Medrxiv : the Preprint Server for Health Sciences|June 17, 2024
Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response predictionOz Kilim, Alex Olar, András Biricz, et al.
Scientific Data|June 28, 2022
HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screeningBálint Ármin Pataki, Alex Olar, Dezső Ribli, et al.
JAMA Network Open|August 29, 2022
A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid ArthritisDongmei Sun, Thanh M Nguyen, Robert J Allaway, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Pageof 1