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Arbitrary Missing Contrast Generation Using Multi-Contrast Generative Network with An Encoder Network

Author:Geonhui Son  Yohan Jun  Sewon Kim  Dosik Hwang  Taejoon Eo*  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction IV  

Program Number:4308  

Room Session:1  

Institution:Yonsei University  

B1- and B1+ based bias field correction for ultra-high field MRI

Author:Yi-Cheng Hsu  Patrick Liebig  Ying-Hua Chu  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Image Reconstruction IV  

Program Number:4305  

Room Session:1  

Institution:Siemens Healthcare GmbH  Siemens Healthineers Ltd.  

Calibrationless Reconstruction of Uniformly Undersampled Multi-channel MR data with Deep learning Estimation of ESPIRiT Maps

Compressed SVD for L+S Matrix Decomposition Model to Reconstruct Undersampled Dynamic MRI

Identification of NF2 loss in meningiomas using 1H-MRS at 3T

Memory-friendly and Robust Deep Learning Architecture for Accelerated MRI

Multi-Adaptive Convolutional Neural Network Reconstruction (MA-CNNR) for Parallel Imaging at 1.5T Brain Images

Radiomic feature-based assessment of deep learning-based compressed sensing reconstruction

Rapid 3D MR cholangiopancreatographyin abreath-hold using deep learning constrained Compressed SENSEreconstruction

Susceptibility Weighted MRI for Predicting Critical Developmental Regulatory S100 Proteins in Meningiomas at 3T

Vascular Heterogeneity Model-based Deep Learning Reconstruction for High-Definition Dynamic Contrast Enhanced MRI

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI Reconstruction