5 papers
Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue
Jan Schnorrenberg, Jan Ernsting, Enrico Küllenberg +3
Sampling error yields exclusively reactive, non-lesional brain parenchyma in a significant proportion of intracranial biopsies, leaving the underlying disease undiagnosed. We bench…
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health
Jan Ernsting, Gunnar Paul Kordes, Nils Johannaber +5
Penile measurement is clinically relevant across male reproductive and urogenital health, including conditions such as micropenis, congenital and endocrine disorders, and sexual or…
Towards Population Scale Testis Volume Segmentation in DIXON MRI
Jan Ernsting, Phillip Nikolas Beeken, Lynn Ogoniak +4
Testis size is known to be one of the main predictors of male fertility, usually assessed in clinical workup via palpation or imaging. Despite its potential, population-level evalu…
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
Lukas Fisch, Nils R. Winter, Janik Goltermann +25
Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI…
pyAKI -- An Open Source Solution to Automated KDIGO classification
Christian Porschen, Jan Ernsting, Paul Brauckmann +8
Acute Kidney Injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-sour…