Nov 17, 2020 · The challenge had two tracks: Track 01 focused on assessing models trained and tested with 12-channel data. Track 02 focused on assessing models ...
The 2020 Multi-channel Magnetic Resonance Reconstruction (MC-MRRec) Challenge had two primary goals: to compare different MR image reconstruction models on ...
Nov 10, 2020 · The challenge has two primary goals: 1) to compare different MRI reconstruction models on this dataset and 2) to assess the generalizability of ...
Missing: Collected | Show results with:Collected
Multi-channel MR reconstruction (MC-MRRec) challenge—Comparing accelerated MR reconstruction models and assessing their genereralizability to datasets collected ...
The challenge had two tracks: Track 01 focused on assessing models trained and tested with 12-channel data. Track 02 focused on assessing models trained with 12 ...
Assessing reconstruction model generalizability to various datasets acquired with a different number of channels. The challenge has two separate tracks, and ...
Missing: Genereralizability | Show results with:Genereralizability
Apr 25, 2024 · ... Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
Jul 6, 2022 · The challenge has two primary goals: (1) to compare different MRI reconstruction models on this dataset and (2) to assess the generalizability ...
Missing: Genereralizability | Show results with:Genereralizability
Multi-channel MR reconstruction (MC-MRRec) challenge—Comparing accelerated MR reconstruction models and assessing their genereralizability to datasets collected ...
The multi-coil MRI (MC-MRI) reconstruction challenge provides a benchmark that aims at addressing these issues, using a large dataset of high-resolution, three- ...