Markus D. Herrmann
Harvard University(US)Massachusetts General Hospital(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Advanced MRI Techniques and Applications, Single-cell and spatial transcriptomics
Most-Cited Works
- → Data-analysis strategies for image-based cell profiling(2017)771 cited
- → Multiplexed protein maps link subcellular organization to cellular states(2018)543 cited
- → Implementing the DICOM Standard for Digital Pathology(2018)141 cited
- → Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade(2023)97 cited
- → NCI Imaging Data Commons(2021)76 cited
- → Computer vision for image-based transcriptomics(2015)46 cited
- → A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients(2020)35 cited
- → Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology(2023)33 cited
- → A nuclear circularity-based classifier for diagnostic distinction of desmoplastic from spindle cell melanoma in digitized histological images(2014)31 cited
- → National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence(2023)31 cited