Balazs Acs

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Biophysics — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Molecular Biology — 5 citations into it

Whom Balazs Acs trusts overall

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

1. Andrew Janowczyk
2. Geert J. S. Litjens
3. Anant Madabhushi
4. Eirini Arvaniti
5. Anne E Carpenter
6. Mitchell Dowsett
7. Andrew P. Witkin
8. Nasir M. Rajpoot
9. M. Veta
10. Yann LeCun

Who trusts Balazs Acs overall

1. Shiva Maleki Varnosfaderani

Papers from Balazs Acs's perspective

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

1. Deep Learning
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Going deeper with convolutions
8. Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
9. Gradient-based learning applied to document recognition
10. Snakes: Active contour models

Their papers

• Artificial intelligence as the next step towards precision pathology (2020) — 402 citations