Artem Shmatko
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Biophysics — 22 citations into it
Whom Artem Shmatko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ming Y. Lu
- Andrew Janowczyk
- Jakob Nikolas Kather
- Richard J. Chen
- Ahmed Hosny
- Metin Nafi Gurcan
- Andre Esteva
- Anant Madabhushi
- Drew F. K. Williamson
- Tiffany Y. Chen
Who trusts Artem Shmatko overall
Papers from Artem Shmatko's perspective
Ordered by how strongly the researchers Artem Shmatko trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Long Short-Term Memory
Their papers
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis (2019) — 596 citations
- Cell2location maps fine-grained cell types in spatial transcriptomics (2022) — 1,006 citations
- Artificial intelligence in histopathology: enhancing cancer research and clinical oncology (2022) — 405 citations