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PLOS Digital Health|April 15, 2025
A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformersJens Rahnfeld, Mehdi Naouar, Gabriel Kalweit, et al.Microscopy Research and Technique|July 23, 2026
A Semi-Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid LeukemiaDriti Ashok, Dennis Raith, Gabriel Kalweit, et al.Plos One|June 29, 2021
Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural networkMaria Kalweit, Ulrich A Walker, Axel Finckh, et al.Digital Biomarkers|August 11, 2022
Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid ArthritisThomas Hügle, Leo Caratsch, Matteo Caorsi, et al.Plos Computational Biology|July 2, 2024
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learningPaul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, et al.Frontiers in Bioinformatics|August 6, 2026
Analysing open-source protein folding models for nanobody binding predictionYannick Vogt, Rebekka Roßberg, Jan Habermann, et al.Cell Reports|June 16, 2026
Mechanisms of premotor-motor cortex interactions during movement initiationMansour Alyahyay, Julian J Ammer, Gabriel Kalweit, et al.Frontiers in Oncology|July 3, 2025
Leveraging a foundation model zoo for cell similarity search in oncological microscopy across devicesGabriel Kalweit, Anusha Klett, Paula Silvestrini, et al.Pageof 1