Browse All

Current Filters

CLEAR FILTER x

TITLE

AI: Cutting-Edge Methods & Potential Roles in MSK Imaging

Author:Akshay Chaudhari  

Session Type:Weekend Course  

Session Date:Saturday, 04 May 2024  

Session Name:Getting Things Moving: Basic MRI & AI in Musculoskeletal Imaging  

Program Number:

Room Session:Room 334-336  

Institution:Stanford University  

    Automated pipeline for creating personalized biomechanical knee models and computing personalized cartilage pressures during gait

    Deep Learning based de-noising and segmentation of Real-Time 3D Kinematic Imaging of the knee for modeling patellofemoral bone kinematics

    Author:Laurel Hales  Anthony Gatti  Akshay Chaudhari  Feliks Kogan  

    Session Type:Digital Poster  

    Session Date:Monday, 06 May 2024  

    Session Name:Bones, Bones, Bones  

    Program Number:1523  

    Room Session:Exhibition Hall (Hall 403)  

    Institution:Stanford University  

    Deep Learning-based Disambiguation for Multiple AD Radiotracers using PET/MRI

    Diffusion Tensor MRI Analysis of Hamstring Muscle Architecture Following 9-Week Eccentric Training

    MRF-SEG: Accelerated Brain MRI Acquisition and Segmentation

    Neural Shape Models Meaningfully Localize Features Relevant to Osteoarthritis Disease: Data from the Osteoarthritis Initiative

    Author:Anthony Gatti  Louis Blankemeier  Dave Van Veen  Brian Hargreaves  Scott Delp  Feliks Kogan  Garry Gold  Akshay Chaudhari  

    Session Type:Oral  

    Session Date:Wednesday, 08 May 2024  

    Session Name:Close to the Bone: Osteology & Soft Tissues  

    Program Number:0769  

    Room Session:Nicoll 2  

    Institution:Stanford University  

    Noise-induced Variability Quantification in Deep Learning-Based MRI Reconstructions

    Author:Onat Dalmaz  Arjun Desai  Akshay Chaudhari  Brian Hargreaves  

    Session Type:Digital Poster  

    Session Date:Tuesday, 07 May 2024  

    Session Name:Acquisitions & Reconstructions Using AI I  

    Program Number:2785  

    Room Session:Exhibition Hall (Hall 403)  

    Institution:Stanford University  

    Open-Source Automatic Whole and Subchondral Bone Segmentation using a Deep-Learning-Based Framework, DOSMA

    Towards a Clinical Decision-Support System for Automating MRI Protocoling