activity
20202024
most citedFastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2024★ 1 cited

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

Eddy Solomon, Patricia M. Johnson, Zhengguo Tan +6

This data curation work introduces the first large-scale dataset of radial k-space and DICOM data for breast DCE-MRI acquired in diagnostic breast MRI exams. Our dataset includes c…

physics.med-ph2023★ 2 cited

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

Radhika Tibrewala, Tarun Dutt, Angela Tong +8

The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) v…

eess.IV2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Arjun D. Desai, Francesco Caliva, Claudia Iriondo +26

Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthriti…

eess.IV2020

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning with MRI Images

Nikan K. Namiri, Io Flament, Bruno Astuto +6

Purpose: To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for severity staging of anterior cruciate ligament (ACL) injuries. Materials and Methods: Th…