1 code implementation • 21 Mar 2024 • Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr
DomainLab is a modular Python package for training user specified neural networks with composable regularization loss terms.
no code implementations • 24 Aug 2023 • Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr
Here, we propose a rehearsal-based continual learning approach for class incremental and domain incremental scenarios in white blood cell classification.
no code implementations • 14 Mar 2023 • Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri, Christian Metak, Carsten Marr
Here, we train a robust CNN for WBC classification by addressing cross-domain data imbalance and domain shifts.
1 code implementation • 1 Jul 2022 • Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
Here, we propose a cross-domain adapted autoencoder to extract features in an unsupervised manner on three different datasets of single white blood cells scanned from peripheral blood smears.