George R. Thoma

Computer Vision and Pattern Recognition · 2012–2018

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it
• Artificial Intelligence — 29 citations into it
• Molecular Biology — 14 citations into it
• Biophysics — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Statistics and Probability — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom George R. Thoma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yuri Boykov
2. Simon S. Haykin
3. Julian Besag
4. Tony F. Chan
5. Luminita A. Vese

Papers from George R. Thoma's perspective

Ordered by how strongly the researchers George R. Thoma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Histograms of oriented gradients for human detection
6. Rethinking the Inception Architecture for Computer Vision
7. ImageNet classification with deep convolutional neural networks
8. Normalized cuts and image segmentation
9. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers

• Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. (2014) — 1,079 citations
• Preparing a collection of radiology examinations for distribution and retrieval (2015) — 1,302 citations
• Image analysis and machine learning for detecting malaria (2018) — 460 citations
• Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (2018) — 514 citations
• Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013) — 653 citations
• Automatic Tuberculosis Screening Using Chest Radiographs (2013) — 689 citations
• Histology image analysis for carcinoma detection and grading (2012) — 381 citations