Johannes Gutenberg-Universität Mainz
- 6131/39-0
Geprags, Alina; Burgin, David; Fegert, Joerg M. et al.
Dealing with the challenges of the pandemic - results of a population-based survey during the second year of the COVID-19 pandemic contrasting benefits and burdenBMC PUBLIC HEALTH. Bd. 24. H. 1. 2024
Sharif, Swaima; Wunder, Cora; Amendt, Jens et al.
Deciphering the impact of microenvironmental factors on cuticular hydrocarbon degradation in Lucilia sericata empty Puparia: Bridging ecological and forensic entomological perspectives using machine learning modelsSCIENCE OF THE TOTAL ENVIRONMENT. Bd. 913. 2024
Reshetnykov, Myhailo; Stumm, Karen; Zwick, Michael et al.
Decision trees for determining the fate of laboratory animalsLABORATORY ANIMALS. Bd. 59. H. 2. 2024 S. 157-168
Beck, Juergen; Fung, Christian; Strbian, Daniel et al.
Decompressive craniectomy plus best medical treatment versus best medical treatment alone for spontaneous severe deep supratentorial intracerebral haemorrhage: a randomised controlled clinical trialLANCET. Bd. 403. H. 10442. 2024 S. 2395-2404
Bi, Dongdong; Van Hal, Anneke; Aschmann, Dennis et al.
Deconvolving Passive and Active Targeting of Liposomes Bearing LDL Receptor Binding Peptides Using the Zebrafish Embryo ModelSMALL. Bd. 20. H. 32. 2024
Buchwaldt, Jessika; Fritsch, Tania; Hartmann, Monika et al.
Decreased mitochondrial transcription factor A and mitochondrial DNA copy number promote cyclin-dependent kinase inhibitor 1A expression and reduce tumorigenic properties of colorectal cancer cellsDISCOVER ONCOLOGY. Bd. 15. H. 1. 2024
Altmann, Sebastian; Grauhan, Nils F.; Mercado, Mario Alberto Abello et al.
Deep Learning Accelerated Brain Diffusion-Weighted MRI with Super Resolution ProcessingACADEMIC RADIOLOGY. Bd. 31. H. 10. 2024 S. 4171-4182
Yagis, Ekin; Aslani, Shahab; Jain, Yashvardhan et al.
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidneySCIENTIFIC REPORTS. Bd. 14. H. 1. 2024 S. 24
Chuter, Benton; Huynh, Justin; Bowd, Christopher et al.
Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma DetectionTRANSLATIONAL VISION SCIENCE & TECHNOLOGY. Bd. 13. H. 1. 2024
Brandt, Verena; Fischer, Andreas; Schoepf, Uwe Joseph et al.
Deep Learning-Based Automated Labeling of Coronary Segments for Structured Reporting of Coronary Computed Tomography Angiography in Accordance With Society of Cardiovascular Computed Tomography GuidelinesJOURNAL OF THORACIC IMAGING. Bd. 39. H. 2. 2024 S. 93-100