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08/23/2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
Deep learning models have achieved state-of-the-art results in estimatin...
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01/15/2022
A Survey on RGB-D Datasets
RGB-D data is essential for solving many problems in computer vision. Hu...
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11/10/2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge – Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Differ
The 2020 Multi-channel Magnetic Resonance Reconstruction (MC-MRRec) Chal...
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11/04/2019
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
The U-net is a deep-learning network model that has been used to solve a...
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10/30/2018
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
Decreasing magnetic resonance (MR) image acquisition times can potential...
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04/13/2018