3 citations · 9 across the 5 of their papers we have counts for
5 papers
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
Yannick Vogt, Mehdi Naouar, Maria Kalweit +4
Antibodies offer great potential for the treatment of various diseases. However, the discovery of therapeutic antibodies through traditional wet lab methods is expensive and time-c…
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
Yannick Vogt, Mehdi Naouar, Maria Kalweit +5
The field of antibody-based therapeutics has grown significantly in recent years, with targeted antibodies emerging as a potentially effective approach to personalized therapies. S…
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
Mehdi Naouar, Gabriel Kalweit, Anusha Klett +6
In recent years, several unsupervised cell segmentation methods have been presented, trying to omit the requirement of laborious pixel-level annotations for the training of a cell…
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo +4
Cancer detection and classification from gigapixel whole slide images of stained tissue specimens has recently experienced enormous progress in computational histopathology. The li…
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso, Maria Alejandra Bravo, Mehdi Naouar +1
Detection of out-of-distribution (OoD) samples in the context of image classification has recently become an area of interest and active study, along with the topic of uncertainty…