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

Nathan Lay

Showing results (21-30 of 30) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 30 results.
IEEE Access : Practical Innovations, Open Solutions|November 4, 2021
Deep Learning Based Staging of Bone Lesions From Computed Tomography ScansSamira Masoudi, Sherif Mehralivand, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|March 28, 2019
Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRIMatthew D Greer, Joanna H Shih, Nathan Lay, et al.
Abdominal Radiology (New York)|February 17, 2024
Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of resultsPouria Yazdian Anari, Nathan Lay, Aryan Zahergivar, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 1, 2024
Non-Invasive Tumor Grade Evaluation in Von Hippel-Lindau-Associated Clear Cell Renal Cell Carcinoma: A Magnetic Resonance Imaging-Based StudyAryan Zahergivar, Pouria Yazdian Anari, Neil Mendhiratta, et al.
Radiology|July 21, 2017
Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2Matthew D Greer, Joanna H Shih, Nathan Lay, et al.
Arxiv|June 21, 2024
Using YOLO v7 to Detect Kidney in Magnetic Resonance ImagingPouria Yazdian Anari, Fiona Obiezu, Nathan Lay, et al.
European Radiology|April 14, 2018
Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader studyMatthew D Greer, Nathan Lay, Joanna H Shih, et al.
Academic Radiology|March 8, 2020
Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?Jonathan Sackett, Joanna H Shih, Sarah E Reese, et al.
Oncotarget|October 19, 2018
Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigationSonia Gaur, Nathan Lay, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|August 7, 2020
Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRISherif Mehralivand, Stephanie A Harmon, Joanna H Shih, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
IEEE Access : Practical Innovations, Open Solutions|November 4, 2021
Deep Learning Based Staging of Bone Lesions From Computed Tomography ScansSamira Masoudi, Sherif Mehralivand, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|March 28, 2019
Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRIMatthew D Greer, Joanna H Shih, Nathan Lay, et al.
Abdominal Radiology (New York)|February 17, 2024
Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of resultsPouria Yazdian Anari, Nathan Lay, Aryan Zahergivar, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 1, 2024
Non-Invasive Tumor Grade Evaluation in Von Hippel-Lindau-Associated Clear Cell Renal Cell Carcinoma: A Magnetic Resonance Imaging-Based StudyAryan Zahergivar, Pouria Yazdian Anari, Neil Mendhiratta, et al.
Radiology|July 21, 2017
Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2Matthew D Greer, Joanna H Shih, Nathan Lay, et al.
Arxiv|June 21, 2024
Using YOLO v7 to Detect Kidney in Magnetic Resonance ImagingPouria Yazdian Anari, Fiona Obiezu, Nathan Lay, et al.
European Radiology|April 14, 2018
Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader studyMatthew D Greer, Nathan Lay, Joanna H Shih, et al.
Academic Radiology|March 8, 2020
Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?Jonathan Sackett, Joanna H Shih, Sarah E Reese, et al.
Oncotarget|October 19, 2018
Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigationSonia Gaur, Nathan Lay, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|August 7, 2020
Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRISherif Mehralivand, Stephanie A Harmon, Joanna H Shih, et al.
Pageof 3