10.9k citations
- Universität InnsbruckAT25 papers
- University of GlasgowGB21 papers
- KTH Royal Institute of TechnologySE20 papers
- Max Planck InnovationDE20 papers
- Max Planck SocietyDE20 papers
- Seattle UniversityUS20 papers
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- The Ohio State UniversityUS20 papers
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47 papers
MitoFREQ: A Novel Approach for Mitogenome Frequency Estimation from Top-level Haplogroups and Single Nucleotide Variants
Mikkel Meyer Andersen, Nicole Huber, Kimberly S Andreaggi +3
Lineage marker population frequencies can serve as one way to express evidential value in forensic genetics. However, for high-quality whole mitochondrial DNA genome sequences (mit…
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training
Daniel Sobotka, Alexander Herold, Matthias Perkonigg +5
Liver vessel segmentation in magnetic resonance imaging data is important for the computational analysis of vascular remodelling, associated with a wide spectrum of diffuse liver d…
What are You Looking at? Modality Contribution in Multimodal Medical Deep Learning
Christian Gapp, Elias Tappeiner, Martin Welk +3
Purpose High dimensional, multimodal data can nowadays be analyzed by huge deep neural networks with little effort. Several fusion methods for bringing together different modalitie…
Towards personalised assessment of abdominal aortic aneurysm structural integrity
Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat +13
Abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the progressive dilation of the aorta, which can lead to rupture if undetected or untreated. Stress…
Complex-valued scatter compensation in nonlinear microscopy
Maximilian Sohmen, Maria Borozdova, Monika Ritsch-Marte +1
Nonlinear, i.e., multi-photon microscopy is a powerful technique for imaging deep into biological tissues. Its penetration depth can be increased further using adaptive optics. In…
Multiparameter regularization and aggregation in the context of polynomial functional regression
Elke R. Gizewski, Markus Holzleitner, Lukas Mayer-Suess +2
Most of the recent results in polynomial functional regression have been focused on an in-depth exploration of single-parameter regularization schemes. In contrast, in this study w…