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1 to 10 of 15 Results
SimTool-SynBench
Oct 25, 2023 - Data Analysis and Modeling in Medicine
Marvin Kinz, 2023, "SimTool-SynBench", https://doi.org/10.11588/data/R9IKCF, heiDATA, V2
The SimTool is a toolset to simulate soft tissue deformation during resection surgery. The proposed toolset is an assimilation of 3D packages in Python and Unreal Engine 4 (UE4) with Nvidia Flex integration, which make it possible to adapt the dataset for more applications. The S...
Data Analysis and Modeling in Medicine(Heidelberg University, Medical Faculty Mannheim)
Oct 24, 2023
Open Research Data from the Data Analysis and Modeling in Medicine at the Medical Faculty Mannheim of Heidelberg University.
Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]
Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]
Mar 24, 2023 - HITS MBM
Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF]
This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu...
HITS MBM(Heidelberg Institute for Theoretical Studies)
Nov 8, 2022
Data publications from the the Molecular Biomechanics (MBM) group at HITS. Shareholders of HITS are the “HITS-Stiftung”, Heidelberg University and the Karlsruhe Institute of Technology (KIT)
Synthesis of CT images from digital body phantoms using CycleGAN [dataset]
Jul 14, 2022 - Computer Assisted Clinical Medicine
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...
Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]
Mar 7, 2022 - Theoretical Physics
Li, Kunhe; Oiwa, Nestor Norio; Cordeiro, Claudette E.; Heermann, Dieter W., 2022, "Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]", https://doi.org/10.11588/data/RDISCE, heiDATA, V1
The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. T...
Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]
Nov 17, 2021 - Medical Informatics
Benning, Nils-Hendrik; Knaup, Petra; Rupp, Rüdiger, 2021, "Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]", https://doi.org/10.11588/data/P1HEGO, heiDATA, V1, UNF:6:br0+tP0XWfzu+FGO7V4qLw== [fileUNF]
This dataset contains the results (manually counted pushes and pushes counted by Apple Watch Series 4) of the study presented in the paper "Accuracy of Activity Measurements with Newer Generations of Apple Watch in Wheelchair Users with Spinal Cord Injury”
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
Jul 27, 2021 - Institute of Pathology Mannheim
Runz, Marlen; Weis, Cleo-Aron, 2021, "Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]", https://doi.org/10.11588/data/8LKEZF, heiDATA, V1
Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University....
Sensor-Based Measurements in Paraplegia: Classified References from a Systematic Review
Jan 4, 2020 - Medical Informatics
Benning, Nils-Hendrik; Hagen, Niclas; Knaup, Petra, 2020, "Sensor-Based Measurements in Paraplegia: Classified References from a Systematic Review", https://doi.org/10.11588/data/JRVJGN, heiDATA, V1, UNF:6:f63Fk7qwB3+Tc3vOEqFdnA== [fileUNF]
This dataset contains the results (publication references) of the systematic review "Current Use of Sensor-Based Measurements for Paraplegics", presented at MIE 2020, Geneva.
Medical Informatics(Heidelberg University - Medical Faculty Heidelberg)
Sep 27, 2019
Data publications from the Institute of Medical Informatics
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