The paper “Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation” by Arne Schmidt, Pablo Morales-Álvarez, and Rafael Molina, was accepted for ICCV 2023 in Paris. Arne Schmidt is Early Stage Researcher (ESR) 8 of the...
Arne Schmidt is Early Stage Researcher (ESR) 8 of the CLARIFY project at the Universidad de Granada. I am happy to announce that our article “Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning” (Arne Schmidt, Pablo...
In this work we couple SSL and MIL to train a deep learning classifier that combines the advantages of both methods and overcomes their limitations. Hello there! I’m happy to announce that his first article as a first author was recently published in IEEE...
The quick automated detection of hemorrhage in CT scans can help save lives – our multiple instance learning algorithm gives accurate prediction without the need of slice level annotations. In this blog post we want to present you a successful collaboration between...
