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

Richard H Cohan

Showing results (91-100 of 109) with videos related to

Pageof 11
Sort By:
Abdominal Radiology (New York)|August 14, 2016
Value of pelvis CT during follow-up of patients with pancreatic adenocarcinomaJason J Bailey, James H Ellis, Matthew S Davenport, et al.
Radiology|January 31, 2002
Urinary tract abnormalities: initial experience with multi-detector row CT urographyElaine M Caoili, Richard H Cohan, Melvyn Korobkin, et al.
Journal of the American College of Radiology : JACR|May 3, 2011
A survey on the use of premedication prior to iodinated and gadolinium-based contrast material administrationRyan B O'Malley, Richard H Cohan, James H Ellis, et al.
AJR. American Journal of Roentgenology|November 22, 2014
Assessment of 1 mSv urinary tract stone CT with model-based iterative reconstructionDaniel I Glazer, Katherine E Maturen, Richard H Cohan, et al.
AJR. American Journal of Roentgenology|February 22, 2008
Nephrogenic systemic fibrosis: a report of 29 casesWael M Shabana, Richard H Cohan, James H Ellis, et al.
Scientific Reports|August 20, 2017
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-LearningKenny H Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Scientific Reports|November 21, 2025
Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosisDi Sun, Lubomir Hadjiiski, Grace Bruno, et al.
Medical Physics|February 9, 2019
U-Net based deep learning bladder segmentation in CT urographyXiangyuan Ma, Lubomir M Hadjiiski, Jun Wei, et al.
Tomography (Ann Arbor, Mich.)|January 21, 2017
Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot StudyKenny H Cha, Lubomir M Hadjiiski, Ravi K Samala, et al.
AJR. American Journal of Roentgenology|August 1, 2018
Hemostatic Agents and Tissue Sealants: Potential Mimics of Abdominal AbnormalitiesAjaykumar C Morani, Joel F Platt, Aaron J Thomas, et al.
Pageof 11

Showing results (91-100 of 109) with videos related to

Sort By:
Pageof 11
Abdominal Radiology (New York)|August 14, 2016
Value of pelvis CT during follow-up of patients with pancreatic adenocarcinomaJason J Bailey, James H Ellis, Matthew S Davenport, et al.
Radiology|January 31, 2002
Urinary tract abnormalities: initial experience with multi-detector row CT urographyElaine M Caoili, Richard H Cohan, Melvyn Korobkin, et al.
Journal of the American College of Radiology : JACR|May 3, 2011
A survey on the use of premedication prior to iodinated and gadolinium-based contrast material administrationRyan B O'Malley, Richard H Cohan, James H Ellis, et al.
AJR. American Journal of Roentgenology|November 22, 2014
Assessment of 1 mSv urinary tract stone CT with model-based iterative reconstructionDaniel I Glazer, Katherine E Maturen, Richard H Cohan, et al.
AJR. American Journal of Roentgenology|February 22, 2008
Nephrogenic systemic fibrosis: a report of 29 casesWael M Shabana, Richard H Cohan, James H Ellis, et al.
Scientific Reports|August 20, 2017
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-LearningKenny H Cha, Lubomir Hadjiiski, Heang-Ping Chan, et al.
Scientific Reports|November 21, 2025
Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosisDi Sun, Lubomir Hadjiiski, Grace Bruno, et al.
Medical Physics|February 9, 2019
U-Net based deep learning bladder segmentation in CT urographyXiangyuan Ma, Lubomir M Hadjiiski, Jun Wei, et al.
Tomography (Ann Arbor, Mich.)|January 21, 2017
Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot StudyKenny H Cha, Lubomir M Hadjiiski, Ravi K Samala, et al.
AJR. American Journal of Roentgenology|August 1, 2018
Hemostatic Agents and Tissue Sealants: Potential Mimics of Abdominal AbnormalitiesAjaykumar C Morani, Joel F Platt, Aaron J Thomas, et al.
Pageof 11