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Dealing with Gradient Nonlinearities for High-Performance Gradient Diffusion MRI - Application to the Human Connectome Project (HCP) Dataset

Author:M. Okan Irfanoglu  Ahmad Beyh  Anh Thai  Carlo Pierpaoli  Flavio Dell'Acqua  

Session Type:Oral  

Session Date:Thursday, 09 May 2024  

Session Name:Diffusion on Unconventional Systems  

Program Number:1272  

Room Session:Room 331-332  

Institution:KCL  NIBIB/NIH  Rutgers University  

Decoding directionality of information in cortical networks using layer-based connective field model

Author:Joana Carvalho  Francisca Fernandes  Koen Haak  Noam Shemesh  

Session Type:Oral  

Session Date:Wednesday, 08 May 2024  

Session Name:Mesoscale fMRI  

Program Number:0892  

Room Session:Nicoll 1  

Institution:Champalimaud Foundation  Donders Institute for Brain Cognition and Behaviour  

Decoding the neural representation of value in schizophrenia with negative symptoms

Decreased Degree Centrality and Regional Homogeneity after Chemotherapy in Breast Cancer Patients with High -Catenin Expression

Decreased water exchange rate across blood-brain barrier 6-12 months after admission for COVID-19 pneumonia

Author:Frances Robertson  Jacqueline Hoare  Betty Kadenge  Sarah Heany  Ernesta Meintjes  

Session Type:Traditional Poster  

Session Date:Monday, 06 May 2024  

Session Name:Advances in Image Contrast  

Program Number:4876  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Cape Town  

Deep Dive: Quantitative MRI in Radiation Oncology & MR-Guided Radiotherapy

    Deep learning based chemical shift artifact reduction in Zero Echo Time (ZTE) MRI

    Author:Sagar Mandava  Michael Carl  Florian Wiesinger  Maggie Fung  R. Lebel  

    Session Type:Digital Poster  

    Session Date:Thursday, 09 May 2024  

    Session Name:Acquisition Strategies I  

    Program Number:4428  

    Room Session:Exhibition Hall (Hall 403)  

    Institution:GE HealthCare MR Clinical Solutions  

    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 Local SAR Prediction for Head imaging at 7T: applicability and accuracy for unknown head coils

    Deep Learning Based Multi-Scale Approach for Precision Medicine and Quantitative Imaging in Glioblastoma

    Deep learning enhanced DWI MUSE at 0.5T

    Deep Learning enhanced joint reconstruction and Nyquist ghost correction in multiband diffusion imaging

    Deep learning imaging-based reconstruction improved the image quality of synthetic high b-value DWI for prostate lesion detecting

    A Deep Learning Model to Generate Customizable RF Pulse Shapes for Power Independent of Number of Slices Simultaneous Multi-Slice Imaging

    Deep learning models for predicting responses to neoadjuvant systemic therapy in triple-negative breast cancer using pre-treatment MRI

    A Deep Learning Prediction Model for Deep Brain Stimulation Optimization by fMRI

    Deep Learning Reconstruction for Free-Breathing Radial Cine Imaging

    Deep learning segmentation of I-125 brachytherapy seeds in prostate cancer patients based on synthetically generated multi-echo training data

    Deep Learning techniques to predict treatment outcomes in newly diagnosed epilepsy

    Deep Learning with Spatio-Channel Regularization for Accelerated Cardiac Cine

    Deep Learning-Assisted Joint Estimation for 3D Retrospective Motion Correction: An In-Vivo Validation

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

    Deep Learning-Based High Frequency Constrained Fast Image Reconstruction for 4D Cardiac MRI

    Deep Learning-based MRS Reconstruction with Artificial Fourier Transform Network (AFT-Net)

    Author:Yanting Yang  Matthieu Dagommer  Jia Guo  

    Session Type:Power Pitch  

    Session Date:Monday, 06 May 2024  

    Session Name:Pitch: AI-Empowered Image Reconstruction  

    Program Number:0356  

    Room Session:Power Pitch Theatre 2  

    Institution:Columbia University  

    Deep Learning-Based Multistep Deformable Medical Image Registration for Multimodal Minimal-Invasive Image-Guided Intervention

    Deep learning-based quantification of myocardial oxygen extraction fraction and blood volume in health: reproducibility, sex, and homogeneity

    Deep Learning-Based Quasi-Automatic Tool for Regional Quantitative 17-Segment Analysis of Myocardial Fibrosis

    Deep learning-based Reconstruction with Super Resolution for Abdominal Diffusion Weighted Imaging

    Deep Learning-Based Super Resolution Reconstruction for Quantitative Susceptibility Mapping

    Deep learning-based super-resolution imaging for routine clinical T1- and T2-weighted breast MRI at 1.5T

    Deep Learning-Driven Enhancement of Fibre Orientation Distribution: Effect of Choice of Gradient Direction Number

    A deep-learning model for effective ringing artifact removal by developing a novel multi-frequency Gibbs generator algorithm

    Deep-learning reconstruction of under-sampled readout-segmented echo-planar diffusion-weighted images at multiple b values