1 to 10 of 21 Results
Oct 18, 2023
Tönnes, Christian; Zöllner, Frank, 2023, "Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]", https://doi.org/10.11588/data/GIWRQA, heiDATA, V1
Data for the Paper: "Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST" https://doi.org/10.3390/app13169179 Abstract: Background: For the reconstruction of Cone-Beam CT volumes, the exact position of each projection is needed; howe... |
Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 1.7 GB -
MD5: 2bf4ce3aee3b991a02b5e313306eb733
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Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 786.1 MB -
MD5: b2d4673e3ac49b853a2a32afd425baee
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Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 752.5 MB -
MD5: ad117f511b4953173e2cb3517f5199fe
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Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 94.9 MB -
MD5: 1520e6f22db38d211e9fa225a80816bc
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Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 95.7 MB -
MD5: 4a1d46485f8895b0cdbde1f2e22e57e9
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Oct 18, 2023 -
Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST [data]
ZIP Archive - 913.3 MB -
MD5: 1ce5ee5674e63f0b9a6d916511241555
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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... |
Aug 2, 2022 -
Synthetic renal ASL MRI [data]
ZIP Archive - 37.2 MB -
MD5: c1a01a571869bc6cb31ad03ec13b2c21
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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... |