Liron Pantanowitz
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #16,782 of 35,345 by trust here, #19,018 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #10,645 of 21,575 by trust here, #16,367 by citations
- Safety, Robustness & Interpretability — 6 citations into it
Whom Liron Pantanowitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rob Fergus
- Fionn Murtagh
- Honglak Lee
- Grgoire Montavon
- Geoffrey E. Hinton
- Yoshua Bengio
- Anant Madabhushi
- Alex Krizhevsky
- Andrew Zisserman
- Ruslan Salakhutdinov
Who trusts Liron Pantanowitz overall
Papers from Liron Pantanowitz's perspective
Ordered by how strongly the researchers Liron Pantanowitz 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association (2019) — 397 citations
- Artificial Intelligence and Digital Pathology: Challenges and Opportunities (2018) — 470 citations
- Review of the current state of whole slide imaging in pathology (2011) — 428 citations