11 citations · 11 across the 4 of their papers we have counts for
4 papers
InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural Language
Nicklas Neu, Thomas Ebner, Jasmin Primus +4
The application of artificial intelligence (AI) in IVF has shown promise in improving consistency and standardization of decisions, but often relies on annotated data and does not…
Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF
Nicklas Neu, Thomas Ebner, Jasmin Primus +4
Embryo selection is one of multiple crucial steps in in-vitro fertilization, commonly based on morphological assessment by clinical embryologists. Although artificial intelligence…
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…
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…