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Repeatability and Sensitivity of qDESS T2 Mapping of Cartilage

Repeatability and Sensitivity of qDESS T2 Mapping of Cartilage

Conditional Denoising Diffusion Probabilistic Models for Inverse MR Image Recovery

Author:Mahmut Yurt  Batu Ozturkler  Kawin Setsompop  Shreyas Vasanawala  John Pauly  Akshay Chaudhari  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction  

Program Number:0384  

Room Session:713A/B  

Institution :Stanford University  

Conditional Denoising Diffusion Probabilistic Models for Inverse MR Image Recovery

Evaluation of an accelerated Deep Learning-reconstructed T2 mapping technique through knee cartilage regional analysis using DOSMA framework

De-noising of 4D real-time joint motion images using a convolutional neural network trained on static data

Author:Laurel Hales  Arjun Desai  Valentina Mazzoli  Akshay Chaudhari  Feliks Kogan  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Technical Developments of MSK Imaging  

Program Number:0638  

Room Session:713A/B  

Institution :Stanford University  

3D Cluster Analysis for Cartilage T2 And T1 Mapping to Assess Focal Lesions in ACL-Injured Subjects

VORTEX-SS: Encoding Physics-Driven Data Priors for Robust Self-Supervised MRI Reconstruction

Neural Shape Models Predict Knee Pain Better than Conventional Statistical Shape Models: Data from the Osteoarthritis Initiative

Author:Anthony Gatti  Dave Van Veen  Garry Gold  Scott Delp  Akshay Chaudhari  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:ML/AI for Disease Detection, Diagnosis & Prediction  

Program Number:1892  

Room Session:Exhibition Halls D/E  

Institution :Stanford University  

Predicting Abdominal MRI Protocols using Electronic Health Records

Assessing the Impact of Upstream Reconstruction Models on Downstream Image Analysis: A Workflow-Centric Evaluation

7T cross-vendor repeatability study of cartilage T2 values using DOSMA on qDESS images

Super-Resolution Magnetic Resonance Fingerprinting

Author:Judith Mizrachi  Marco Barbieri  Akshay Chaudhari  Garry Gold  

Session Type:Traditional Poster  

Session Date:Monday, 05 June 2023  

Session Name:Acquisition & Analysis  

Program Number:5269  

Room Session:Exhibition Halls D/E  

Institution :Stanford University