A. Marx
Artificial Intelligence · Nature Medicine · 2004–2019
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
Whom A. Marx trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Marx's perspective
Ordered by how strongly the researchers A. Marx trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- The Human Protein Atlas—a tool for pathology (Journal of Pathology)
- Kernel density estimation via diffusion
- SUN database: Large-scale scene recognition from abbey to zoo
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Textural Features Corresponding to Visual Perception
- Textons, the elements of texture perception, and their interactions
- A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution (IEEE Transactions on Biomedical Engineering)
Their papers
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer (2019) — 1,260 citations
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study (2019) — 1,042 citations
- Multi-class texture analysis in colorectal cancer histology (2016) — 584 citations
- Introduction to The 2015 World Health Organization Classification of Tumors of the Lung, Pleura, Thymus, and Heart. (2015) — 1,072 citations
- New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images (2015) — 19 citations
- Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images (2015) — 66 citations
- World Health Organization Classification of Tumors. Pathology and Genetics of Tumors of the Urinary System and Male Genital Organs (2004) — 905 citations