C Lawrence Zitnick - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

C Lawrence Zitnick

Showing results (11-20 of 13) with videos related to

Pageof 2

Sort By:

You have reached the last page of results.This site can display upto 13 results.

Scientific Data|February 4, 2026

Open Molecular Crystals 2025 (OMC25) dataset and modelsVahe Gharakhanyan, Luis Barroso-Luque, Yi Yang, et al.

AJR. American Journal of Roentgenology|August 7, 2020

Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability StudyMichael P Recht, Jure Zbontar, Daniel K Sodickson, et al.

Radiology. Artificial Intelligence|February 21, 2020

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.

Pageof 2

Search research articles

Showing results (11-20 of 13) with videos related to

Sort By:

Pageof 2

You have reached the last page of results.This site can display upto 13 results.

Scientific Data|February 4, 2026

Open Molecular Crystals 2025 (OMC25) dataset and modelsVahe Gharakhanyan, Luis Barroso-Luque, Yi Yang, et al.

AJR. American Journal of Roentgenology|August 7, 2020

Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability StudyMichael P Recht, Jure Zbontar, Daniel K Sodickson, et al.

Radiology. Artificial Intelligence|February 21, 2020

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.

Pageof 2