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

McKell Woodland

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Medrxiv : the Preprint Server for Health Sciences|July 10, 2026
A Real-World Evaluation of Failure Detection for Liver CT SegmentationJeddy Bennett, McKell Woodland, Austin Castelo, et al.
European Journal of Radiology|October 7, 2021
Correlation of in-vivo imaging with histopathology: A reviewAnando Sen, Patricia Troncoso, Aradhana Venkatesan, et al.
Medrxiv : the Preprint Server for Health Sciences|February 27, 2026
Quality versus quantity of training datasets for artificial intelligence-based whole liver segmentationAustin Castelo, Caleb O'Connor, Aashish C Gupta, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 30, 2025
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendMcKell Woodland, Austin Castelo, Mais Al Taie, et al.
Medical Physics|December 21, 2025
Uncertainty-guided test-time optimization for personalizing segmentation models in longitudinal medical imagingJaehee Chun, Austin Castelo, McKell Woodland, et al.
The Journal of Machine Learning for Biomedical Imaging|June 2, 2025
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationMcKell Woodland, Nihil Patel, Austin Castelo, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'?Hana Baroudi, Kristy K Brock, Wenhua Cao, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Medrxiv : the Preprint Server for Health Sciences|July 10, 2026
A Real-World Evaluation of Failure Detection for Liver CT SegmentationJeddy Bennett, McKell Woodland, Austin Castelo, et al.
European Journal of Radiology|October 7, 2021
Correlation of in-vivo imaging with histopathology: A reviewAnando Sen, Patricia Troncoso, Aradhana Venkatesan, et al.
Medrxiv : the Preprint Server for Health Sciences|February 27, 2026
Quality versus quantity of training datasets for artificial intelligence-based whole liver segmentationAustin Castelo, Caleb O'Connor, Aashish C Gupta, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 30, 2025
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendMcKell Woodland, Austin Castelo, Mais Al Taie, et al.
Medical Physics|December 21, 2025
Uncertainty-guided test-time optimization for personalizing segmentation models in longitudinal medical imagingJaehee Chun, Austin Castelo, McKell Woodland, et al.
The Journal of Machine Learning for Biomedical Imaging|June 2, 2025
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationMcKell Woodland, Nihil Patel, Austin Castelo, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'?Hana Baroudi, Kristy K Brock, Wenhua Cao, et al.
Pageof 1