Digital staining in optical microscopy using deep learning -- a review

no code implementations • 14 Mar 2023 • Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer

Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.

Specificity

SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology

no code implementations • 28 Oct 2022 • Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Wolfgang H. Goldmann, Andreas K. Maier, Oliver Friedrich, Lucas Kreiss

Deep learning (DL) shows notable success in biomedical studies.

Meta-Learning

DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images

no code implementations • 26 May 2022 • Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas Maier, Alexander Mühlberg

Reliably detecting diseases using relevant biological information is crucial for real-world applicability of deep learning techniques in medical imaging.

Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization

no code implementations • 9 Oct 2020 • Alexander Katzmann, Oliver Taubmann, Stephen Ahmad, Alexander Mühlberg, Michael Sühling, Horst-Michael Groß

Clinical decision support using deep neural networks has become a topic of steadily growing interest.

Breast Cancer Detection Decision Making +3