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

Christopher Kanan

Showing results (11-20 of 21) with videos related to

Pageof 3
Sort By:
Scientific Reports|February 15, 2020
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activitiesRakshit Kothari, Zhizhuo Yang, Christopher Kanan, et al.
Diagnostics (Basel, Switzerland)|March 25, 2022
Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine ScansUsman Mahmood, David D B Bates, Yusuf E Erdi, et al.
Vision Research|February 3, 2015
Humans have idiosyncratic and task-specific scanpaths for judging facesChristopher Kanan, Dina N F Bseiso, Nicholas A Ray, et al.
Neural Computation|September 2, 2021
Replay in Deep Learning: Current Approaches and Missing Biological ElementsTyler L Hayes, Giri P Krishnan, Maxim Bazhenov, et al.
Frontiers in Digital Health|October 29, 2021
Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology SystemsUsman Mahmood, Robik Shrestha, David D B Bates, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 13, 2020
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsiesPatricia Raciti, Jillian Sue, Rodrigo Ceballos, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 5, 2021
Quality control of radiomic features using 3D-printed CT phantomsUsman Mahmood, Aditya Apte, Christopher Kanan, et al.
Archives of Pathology & Laboratory Medicine|December 20, 2022
Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer DetectionPatricia Raciti, Jillian Sue, Juan A Retamero, et al.
The Journal of Pathology|April 27, 2021
Independent real-world application of a clinical-grade automated prostate cancer detection systemLeonard M da Silva, Emilio M Pereira, Paulo Go Salles, et al.
Nature Medicine|July 22, 2024
A foundation model for clinical-grade computational pathology and rare cancers detectionEugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Scientific Reports|February 15, 2020
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activitiesRakshit Kothari, Zhizhuo Yang, Christopher Kanan, et al.
Diagnostics (Basel, Switzerland)|March 25, 2022
Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine ScansUsman Mahmood, David D B Bates, Yusuf E Erdi, et al.
Vision Research|February 3, 2015
Humans have idiosyncratic and task-specific scanpaths for judging facesChristopher Kanan, Dina N F Bseiso, Nicholas A Ray, et al.
Neural Computation|September 2, 2021
Replay in Deep Learning: Current Approaches and Missing Biological ElementsTyler L Hayes, Giri P Krishnan, Maxim Bazhenov, et al.
Frontiers in Digital Health|October 29, 2021
Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology SystemsUsman Mahmood, Robik Shrestha, David D B Bates, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 13, 2020
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsiesPatricia Raciti, Jillian Sue, Rodrigo Ceballos, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 5, 2021
Quality control of radiomic features using 3D-printed CT phantomsUsman Mahmood, Aditya Apte, Christopher Kanan, et al.
Archives of Pathology & Laboratory Medicine|December 20, 2022
Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer DetectionPatricia Raciti, Jillian Sue, Juan A Retamero, et al.
The Journal of Pathology|April 27, 2021
Independent real-world application of a clinical-grade automated prostate cancer detection systemLeonard M da Silva, Emilio M Pereira, Paulo Go Salles, et al.
Nature Medicine|July 22, 2024
A foundation model for clinical-grade computational pathology and rare cancers detectionEugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Pageof 3