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

Sachin Jambawalikar

Showing results (1-10 of 58) with videos related to

Pageof 6
Sort By:
Journal of Computer Assisted Tomography|April 11, 2022
An Analytic Method for Calculating Scanner-, Kilovoltage Peak-, and Patient Size-Specific Hounsfield Unit Scale Thresholds for Agatston ScoreBoyu Peng, Sachin Jambawalikar, Andrew J Einstein
Neuroimaging Clinics of North America|November 24, 2018
Advanced MR Imaging of the Temporal BoneSachin Jambawalikar, Michael Z Liu, Gul Moonis
Tomography (Ann Arbor, Mich.)|June 27, 2023
Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative ReviewMaham Siddique, Michael Liu, Phuong Duong, et al.
Journal of Translational Medicine|July 8, 2024
Combined expert-in-the-loop-random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironmentsAnjali Saqi, Yucheng Liu, Michelle Garlin Politis, et al.
Skeletal Radiology|July 2, 2010
Diffusion tensor imaging of peripheral nervesSachin Jambawalikar, Jeremy Baum, Terry Button, et al.
Magnetic Resonance Imaging|September 5, 2020
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI databaseMichael Z Liu, Simukayi Mutasa, Peter Chang, et al.
Computers in Biology and Medicine|July 14, 2020
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantificationMichael Liu, Rami Vanguri, Simukayi Mutasa, et al.
Academic Radiology|June 10, 2021
Weakly Supervised Deep Learning Approach to Breast MRI AssessmentMichael Z Liu, Cara Swintelski, Shawn Sun, et al.
Biomedical Physics & Engineering Express|January 13, 2021
A threshold-based method to predict thyroid nodules on scintigraphy scansJoseph N Stember, Arif Sheikh, Edgar Perez, et al.
AJR. American Journal of Roentgenology|March 13, 2019
Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network-Based Machine Learning Approach Using Mammographic Image DataRichard Ha, Simukayi Mutasa, Eduardo Pascual Van Sant, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Journal of Computer Assisted Tomography|April 11, 2022
An Analytic Method for Calculating Scanner-, Kilovoltage Peak-, and Patient Size-Specific Hounsfield Unit Scale Thresholds for Agatston ScoreBoyu Peng, Sachin Jambawalikar, Andrew J Einstein
Neuroimaging Clinics of North America|November 24, 2018
Advanced MR Imaging of the Temporal BoneSachin Jambawalikar, Michael Z Liu, Gul Moonis
Tomography (Ann Arbor, Mich.)|June 27, 2023
Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative ReviewMaham Siddique, Michael Liu, Phuong Duong, et al.
Journal of Translational Medicine|July 8, 2024
Combined expert-in-the-loop-random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironmentsAnjali Saqi, Yucheng Liu, Michelle Garlin Politis, et al.
Skeletal Radiology|July 2, 2010
Diffusion tensor imaging of peripheral nervesSachin Jambawalikar, Jeremy Baum, Terry Button, et al.
Magnetic Resonance Imaging|September 5, 2020
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI databaseMichael Z Liu, Simukayi Mutasa, Peter Chang, et al.
Computers in Biology and Medicine|July 14, 2020
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantificationMichael Liu, Rami Vanguri, Simukayi Mutasa, et al.
Academic Radiology|June 10, 2021
Weakly Supervised Deep Learning Approach to Breast MRI AssessmentMichael Z Liu, Cara Swintelski, Shawn Sun, et al.
Biomedical Physics & Engineering Express|January 13, 2021
A threshold-based method to predict thyroid nodules on scintigraphy scansJoseph N Stember, Arif Sheikh, Edgar Perez, et al.
AJR. American Journal of Roentgenology|March 13, 2019
Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network-Based Machine Learning Approach Using Mammographic Image DataRichard Ha, Simukayi Mutasa, Eduardo Pascual Van Sant, et al.
Pageof 6