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  

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  

Architecture-agnostic Deep Image Prior for Accelerated MRI reconstruction

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  

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  

Accelerated MRI Reconstruction using Adaptive Diffusion Probabilistic Networks

Multi-echo MRI Reconstruction with Iteratively Refined Zero-shot Spatio-Temporal Deep Generative Prior

SubZero: Subspace Zero-Shot MRI Reconstruction

Using Noisier2Noise to choose the sampling mask partition of Self-Supervised Learning via Data Undersampling (SSDU)

Author:Charles Millard  Mark Chiew  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0830  

Room Session:Power Pitch Theatre 1  

Institution :University of Oxford  

Self-Supervised Deep Learning Reconstruction for Highly Accelerated Diffusion Imaging

A noise-robust accelerated MRI reconstruction using CycleGAN

SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction

NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data

Author:Samah Khawaled  Moti Freiman  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0834  

Room Session:Power Pitch Theatre 1  

Institution :Technion  

DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging

Author:Zhenghan Fang  Kuo-Wei Lai  Peter van Zijl  Xu Li  Jeremias Sulam  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0835  

Room Session:Power Pitch Theatre 1  

Institution :The Johns Hopkins University  

Investigating VoxelMorph Image Registration for Fast 4D Respiratory Compensated Image Reconstruction on an MR-Linac

Accelerated 3D Myelin Water Imaging: Jointly Unrolled Cross-domain Optimization-based Spatio-Temporal Reconstruction Network

Author:Jae-Hun Lee  Dongyeob Han  Jae-Yoon Kim  Dong-Hyun Kim  

Session Type:Power Pitch  

Session Date:Wednesday, 07 June 2023  

Session Name:Pitch: Deep Learning Image Reconstruction  

Program Number:0838  

Room Session:Power Pitch Theatre 1  

Institution :Siemens Korea  Yonsei Univ.