Johan Hartman
Molecular Biology · 2007–2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 51 citations into it
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Biophysics — 11 citations into it
Whom Johan Hartman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Johan Hartman's perspective
Ordered by how strongly the researchers Johan Hartman trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
- Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
- Convolutional networks and applications in vision
- Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (Journal of Pathology Informatics)
- Snakes: Active contour models
- A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution (IEEE Transactions on Biomedical Engineering)
- Breast Cancer Histopathology Image Analysis: A Review (IEEE Transactions on Biomedical Engineering)
- A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score (European Urology)
- CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Their papers
- Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single Cell Sequencing (2018) — 942 citations
- Artificial intelligence as the next step towards precision pathology (2020) — 402 citations
- Estrogen receptors: how do they signal and what are their targets. (2007) — 1,835 citations