Peter J. Schüffler
German Cancer Research Center(DE)DKFZ-ZMBH Alliance(DE)Munich Center for Machine LearningTechnical University of Munich(DE)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Medical Image Segmentation Techniques, Image Retrieval and Classification Techniques
Most-Cited Works
- → Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry(2014)1,940 cited
- → Whole slide imaging equivalency and efficiency study: experience at a large academic center(2019)195 cited
- → Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer(2011)192 cited
- → Validation of a digital pathology system including remote review during the COVID-19 pandemic(2020)175 cited
- → Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019(2020)151 cited
- → Prediction of colorectal cancer diagnosis based on circulating plasma proteins(2015)103 cited