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Comparison of ground-truth-free deep learning approaches for accelerated quantitative parameter mapping

Author:Naoto Fujita  Suguru Yokosawa  Toru Shirai  Yasuhiko Terada  

Session Type:Power Pitch  

Session Date:Tuesday, 07 May 2024  

Session Name:Pitch: Quantitative Imaging  

Program Number:0574  

Room Session:Power Pitch Theatre 1  

Institution:FUJIFILM Corporation  University of Tsukuba  

Enhancing Reliability in Model-based DL Reconstruction: A Systematic Study of MC Dropout for Uncertainty Quantification

Author:Ziyu Fu  Naoto Fujita  Yasuhiko Terada  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI II  

Program Number:2818  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Tsukuba  

Point-Guided 3D U-SAM: MRI abdominal Segmentation Model using 3D Interactive U-Net and Segment Anything Model

qDC-CNN: Model-based deep learning image reconstruction with a pixel-wise fitting network for accelerated quantitative MRI

Author:Naoto Fujita  Suguru Yokosawa  Toru Shirai  Yasuhiko Terada  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:Image Reconstruction  

Program Number:4266  

Room Session:Exhibition Hall (Hall 403)  

Institution:FUJIFILM Corporation  University of Tsukuba