all AI news
Accelerated MR Cholangiopancreatography with Deep Learning-based Reconstruction
May 8, 2024, 4:42 a.m. | Jinho Kim, Marcel Dominik Nickel, Florian Knoll
cs.LG updates on arXiv.org arxiv.org
Abstract: This study accelerates MR cholangiopancreatography (MRCP) acquisitions using deep learning-based (DL) reconstruction at 3T and 0.55T. Thirty healthy volunteers underwent conventional two-fold MRCP scans at field strengths of 3T or 0.55T. We trained a variational network (VN) using retrospectively six-fold undersampled data obtained at 3T. We then evaluated our method against standard techniques such as parallel imaging (PI) and compressed sensing (CS), focusing on peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) as metrics. Furthermore, …
abstract acquisitions arxiv cs.ai cs.cv cs.lg data deep learning eess.iv network scans six study type
More from arxiv.org / cs.LG updates on arXiv.org
Efficient Data-Driven MPC for Demand Response of Commercial Buildings
2 days, 21 hours ago |
arxiv.org
Testing the Segment Anything Model on radiology data
2 days, 21 hours ago |
arxiv.org
Calorimeter shower superresolution
2 days, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US