11 citations · 12 across the 3 of their papers we have counts for
4 papers
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
Mohit Kumar, Bernhard A. Moser, Lukas Fischer +1
A fuzzy theoretic analytical approach was recently introduced that leads to efficient and robust models while addressing automatically the typical issues associated to parametric d…
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
Florian Kromp, Lukas Fischer, Eva Bozsaky +5
Separating and labeling each instance of a nucleus (instance-aware segmentation) is the key challenge in segmenting single cell nuclei on fluorescence microscopy images. Deep Neura…
On Conditioning GANs to Hierarchical Ontologies
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
The recent success of Generative Adversarial Networks (GAN) is a result of their ability to generate high quality images from a latent vector space. An important application is the…
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch +9
Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, h…