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1 to 10 of 21 Results
SyntheticASLData.zip
Aug 2, 2022 - Synthetic renal ASL MRI [data]
ZIP Archive - 37.2 MB - MD5: c1a01a571869bc6cb31ad03ec13b2c21
Synthetic renal ASL MRI [data]
Aug 2, 2022
Brumer, Irene, 2022, "Synthetic renal ASL MRI [data]", https://doi.org/10.11588/data/QAHWSF, heiDATA, V1
Synthetic renal ASL data sets simulating in-vivo acquisitions were generated using body models from the XCAT phantom, the general kinetic model and literature values for tissue properties. Sequence and ASL parameters were set in accordance with the current renal ASL consensus. Fi...
Synthesis of CT images from digital body phantoms using CycleGAN [dataset]
Jul 14, 2022
Zöllner, Frank, 2022, "Synthesis of CT images from digital body phantoms using CycleGAN [dataset]", https://doi.org/10.11588/data/7NRFYC, heiDATA, V1
The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data...
synCT.zip
Jul 14, 2022 - Synthesis of CT images from digital body phantoms using CycleGAN [dataset]
ZIP Archive - 49.8 GB - MD5: 0c9ad5cd6faab738d35e933aef0e4619
Sinusoidal.zip
Oct 18, 2023 - Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 913.3 MB - MD5: 1ce5ee5674e63f0b9a6d916511241555
Prior CBCT Volume.zip
Oct 18, 2023 - Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 95.7 MB - MD5: 4a1d46485f8895b0cdbde1f2e22e57e9
Prior CBCT Volume - Without Metal Object.zip
Oct 18, 2023 - Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 94.9 MB - MD5: 1520e6f22db38d211e9fa225a80816bc
Multimodal ground truth datasets for abdominal medical image registration [data]
Jun 22, 2022
Zöllner, Frank, 2022, "Multimodal ground truth datasets for abdominal medical image registration [data]", https://doi.org/10.11588/data/ICSFUS, heiDATA, V1
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data,...
MR.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 3.5 GB - MD5: 7ecd9b894710d6269f28e63d4e668b57
IMAGen_Phantom.zip
Feb 5, 2019 - Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]
ZIP Archive - 11.0 GB - MD5: a33480f9dc249c148444f4b77b5de74c
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