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Measuring time-dependent diffusion on a high-performance head-only gradient system at 3T: influence and correction of gradient nonlinearity

Author:Erpeng Dai  Ante Zhu  Grant Yang  Kristin Quah  Ek Tan  Eric Fiveland  Thomas Foo  Jennifer McNab  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Brain Microstructure: Restriction & Exchange  

Program Number:0689  

Room Session:718B  

Institution :GE Research  Hospital for Special Surgery  Stanford University  

High-SNR whole-brain microstructure diffusion MRI using Romer-EPTI

Author:Fuyixue Wang  Zijing Dong  Hong-Hsi Lee  Susie Huang  Jonathan Polimeni  Lawrence Wald  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Brain Microstructure: Restriction & Exchange  

Program Number:0690  

Room Session:718B  

Institution :MGH  Harvard Medical School  MIT  

Detecting temperature-driven microstructural modulations in tissue using diffusion MRI

Author:Jelle Veraart  Daniel Nunes  Noam Shemesh  

Session Type:Oral  

Session Date:Tuesday, 06 June 2023  

Session Name:Brain Microstructure: Restriction & Exchange  

Program Number:0691  

Room Session:718B  

Institution :Champalimaud Centre for the Unknown  NYU Grossman School of Medicine  

Establishing a Correlation between Diffusion Heterogeneity and Tissue Structural Heterogeneity Using Stereotactic Biopsies on Brain Tumors

Highly Resilient 3D Aortic Hemodynamics derived directly from Aortic Geometry using AI

Highly Resilient 3D Aortic Hemodynamics derived directly from Aortic Geometry using AI

One-minute 3D ky-kz Centric FFE Thoracic Aorta Imaging with Real-Time Motion-Correction and High-Resolution Deep Learning Reconstruction

Fully Automated Segmentation of Brain and Scalp Blood Vessels on Multi-Parametric Magnetic Resonance Imaging Using Multi-view Cascaded Network

Fully Automated Segmentation of Brain and Scalp Blood Vessels on Multi-Parametric Magnetic Resonance Imaging Using Multi-view Cascaded Network

Denoising 4D-Flow using Self-Supervised Deep Learning and its effect on test-rest reproducibility

Denoising 4D-Flow using Self-Supervised Deep Learning and its effect on test-rest reproducibility

Large vessel occlusion detection on TOF images using deep learning

Identification of high-risk basilar artery plaque with HR-VWI-based radiomics and machine learning

Identification of high-risk basilar artery plaque with HR-VWI-based radiomics and machine learning

Deep Learning Based Algorithm to Identify Large Vessel Stenosis and Occlusion on Contrast Agent-free Magnetic Resonance Imaging

High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study

High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study

Deep learning-based segmentations challenge established link between stroke volume and functional outcome after thrombectomy

Deep learning-based segmentations challenge established link between stroke volume and functional outcome after thrombectomy

The Fuzzy MAD Stroke Conjecture, using Fuzzy C Means to classify Multimodal Apparent Diffusion for stroke stratification

Prediction of Ischemic Stroke Based on Carotid Plaque VW-HRMRI Radiomics

Prediction of Ischemic Stroke Based on Carotid Plaque VW-HRMRI Radiomics

Self-supervised Learning with Self-supervised Regularization Reconstruction for Accelerated Single- and Multiband Myocardial Perfusion MRI

Self-supervised Learning with Self-supervised Regularization Reconstruction for Accelerated Single- and Multiband Myocardial Perfusion MRI

A unified deep learning model for simultaneous cardiac cine MRI reconstruction, motion estimation and segmentation.

A unified deep learning model for simultaneous cardiac cine MRI reconstruction, motion estimation and segmentation.

Time Course Changes of Synthetic Relaxation Time during Neoadjuvant Chemotherapy in Breast Cancer.

Time Course Changes of Synthetic Relaxation Time during Neoadjuvant Chemotherapy in Breast Cancer.

Various parameters derived from mono-exponential DWI, IVIM, SEM, DKI and CTRW in breast cancer diagnosis and the prediction of prognostic factors