Thomas J. Fuchs
Cornell University(US)Icahn School of Medicine at Mount Sinai(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Cancer Genomics and Diagnostics, Digital Imaging for Blood Diseases
Most-Cited Works
- → Clinical-grade computational pathology using weakly supervised deep learning on whole slide images(2019)2,461 cited
- → Understanding Neural Networks Through Deep Visualization(2015)1,469 cited
- → DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem(2019)308 cited
- → Computational pathology: Challenges and promises for tissue analysis(2011)271 cited
- → Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects(2017)220 cited
- → TAK1 Suppresses a NEMO-Dependent but NF-κB-Independent Pathway to Liver Cancer(2010)219 cited
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