Thomas J. Fuchs

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Gabriele Campanella, Matthew G. Hanna, Luke Geneslaw et al. · Nature Medicine · 2019 · 2.6K citations · Full text

Medicine, Oncology, Pathology +16

Understanding Neural Networks Through Deep Visualization

Jason Yosinski, Jeff Clune, Anh Mai Nguyen et al. · arXiv (Cornell University) · 2015 · 1.5K citations · Full text

Computing, Computer Science, Visualization +8

DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem

Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella et al. · Medical Image Analysis · 2019 · 313 citations · Full text

Medicine, Biomedical Engineering, Nuclear Medicine +14

Computational pathology: Challenges and promises for tissue analysis

Thomas J. Fuchs, Joachim M. Buhmann · Computerized Medical Imaging and Graphics · 2011 · 276 citations · Full text

Medicine, Bioinformatics, Pathology +14

Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects

Muhammad Hassan, Thomas J. Fuchs, Nicole De Cuir et al. · Journal of Glaucoma · 2017 · 224 citations · Full text

Computing, Computer Science, Ophthalmology +15