Péter Pollner
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Péter Pollner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Péter Pollner overall
Papers from Péter Pollner's perspective
Ordered by how strongly the researchers Péter Pollner trusts endorse each paper. Same corpus, a different order for every researcher.
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY
- Diagnostic Accuracy of Digital Screening Mammography with and without Computer-aided Detection
- Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. (Radiology)
- Influence of computer-aided detection on performance of screening mammography. (New England Journal of Medicine)
- Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection. (Radiology)
- Individual and Combined Effects of Age, Breast Density, and Hormone Replacement Therapy Use on the Accuracy of Screening Mammography (Annals of Internal Medicine)
- INbreast: toward a full-field digital mammographic database. (Academic Radiology)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Detecting and classifying lesions in mammograms with Deep Learning (2017) — 653 citations