Piotr J. Slomka
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Health Informatics — 8 citations into it
Whom Piotr J. Slomka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nils J. Nilsson
- Florin C. Ghesu
- Alex Krizhevsky
- Meherwar Fatima
- Bogdan Georgescu
- Li Li
- Yefeng Zheng
- Annette M. Molinaro
- Tuan Anh Ngo
Papers from Piotr J. Slomka's perspective
Ordered by how strongly the researchers Piotr J. Slomka trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Caffe: Convolutional Architecture for Fast Feature Embedding
- ImageNet: A large-scale hierarchical image database
- Deep Learning
- GENERATIVE ADVERSARIAL NETS
- Dermatologist-level classification of skin cancer with deep neural networks
- Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features (IEEE Transactions on Medical Imaging)
- Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
- Multiple Classifier Systems
Their papers
- Artificial Intelligence in Cardiovascular Imaging (2019) — 546 citations
- Deep Learning for Prediction of Obstructive Disease from Fast Myocardial Perfusion SPECT: A Multicenter Study (2018) — 303 citations
- Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. (2018) — 443 citations
- Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis (2016) — 663 citations