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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.

Attention mechanisms for sharing low-rank, image and k-space information during MR image reconstruction

Attention mechanisms for sharing low-rank, image and k-space information during MR image reconstruction

IMJENSE: scan-specific IMplicit representation for Joint coil sENSitivity and image Estimation in parallel MRI

Author:Ruimin Feng  Qing Wu  Yuyao Zhang  Hongjiang Wei  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0820  

Room Session:Power Pitch Theatre 1  

Institution :Shanghai Jiao Tong University  ShanghaiTech University  

IMJENSE: scan-specific IMplicit representation for Joint coil sENSitivity and image Estimation in parallel MRI

Monotone Operator Learning: a robust and memory-efficient physics-guided deep learning framework

Author:Aniket Pramanik  Mathews Jacob  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0821  

Room Session:Power Pitch Theatre 1  

Institution :University of Iowa  

Monotone Operator Learning: a robust and memory-efficient physics-guided deep learning framework

Author:Aniket Pramanik  Mathews Jacob  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:Poster: Deep Learning Image Reconstruction  

Program Number:0821  

Room Session:Power Pitch Theatre 1  

Institution :University of Iowa  

Architecture-agnostic Deep Image Prior for Accelerated MRI reconstruction

Architecture-agnostic Deep Image Prior for Accelerated MRI reconstruction

MERLIN: In-depth investigation on complex-valued image reconstruction in PyTorch and Tensorflow

MERLIN: In-depth investigation on complex-valued image reconstruction in PyTorch and Tensorflow

Real-time deep learning non-Cartesian image reconstruction using a causal variational network

Author:Prakash Kumar  Krishna Nayak  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0824  

Room Session:Power Pitch Theatre 1  

Institution :University of Southern California  

Real-time deep learning non-Cartesian image reconstruction using a causal variational network

Author:Prakash Kumar  Krishna Nayak  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:Poster: Deep Learning Image Reconstruction  

Program Number:0824  

Room Session:Power Pitch Theatre 1  

Institution :University of Southern California  

Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction

Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction

PSP-Net: Learning the optimal sampling pattern for MR reconstruction via progressive modeling

Author:Bomin Kim  Sung-Hong Park  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0826  

Room Session:Power Pitch Theatre 1  

Institution :Korea Advanced Institute of Science and Tecnhology  

PSP-Net: Learning the optimal sampling pattern for MR reconstruction via progressive modeling