Accelerating DT-CMR with Deep Learning-based Tensor De-noising and Breath Hold Reduction

Continuous Spatio-Temporal Representation with Implicit Neural Representation and Neural Ordinary Differential Equation in DSC-MRI

Dual-confidence-guided feature learning for semi-supervised medical image segmentation

Author:Yudan Zhou  Shuhui Cai  Congbo Cai  Liangjie Lin  Zhong Chen  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:The Future of AI in MRI: Emerging Technologies & Directions  

Program Number:0657  

Room Session:Nicoll 3  

Institution:MSC Clinical & Technical Solutions  Xiamen University  

Foundation Model based labelling of MR Shoulder images to drive Auto-Localizer workflow

Author:Gurunath Reddy M  Muhan Shao  Deepa Anand  Kavitha Manickam  Dawei Gui  Chitresh Bhushan  Dattesh Shanbhag  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:The Future of AI in MRI: Emerging Technologies & Directions  

Program Number:0650  

Room Session:Nicoll 3  

Institution:GE HealthCare  

Imaging transformer for MRI denoising with SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Neural Implicit Quantitative Imaging

Peer-to-Peer Generative Learning for Architecture-Agnostic Federated MRI Reconstruction

Author:Valiyeh Ansarian Nezhad  Gökberk Elmas  Tolga Çukur  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:The Future of AI in MRI: Emerging Technologies & Directions  

Program Number:0653  

Room Session:Nicoll 3  

Institution:Bilkent University  

Reconstruction-free segmentation from undersampled k-space using transformers

Towards a Generalizable Foundation Model for Multi-Tissue Musculoskeletal MRI Segmentation