Lukas Fischer

Machine Learning, Deep Learning, LSTM/xLSTM, Generative Models (e.g. GANs, VAEs, AEs), Contrastive Learning, Transformers, Computer Vision, especially on medical data (e.g. segmentation, registration, classification, and tracking), Transfer Learning, Privacy Preserving Learning aspects