Andrew Janowczyk
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #11,520 of 35,345 by trust here, #12,083 by citations
- Computer Vision and Pattern Recognition — 19 citations into it; #7,757 of 21,575 by trust here, #8,409 by citations
- Radiology, Nuclear Medicine and Imaging — 10 citations into it
- Biophysics — 7 citations into it; #212 of 1,196 by trust here, #405 by citations
- Optimization & Training — 6 citations into it
Whom Andrew Janowczyk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Vinod Nair
- Yoshua Bengio
- Ilya Sutskever
- Dan Claudiu Ciresan
- John C. Duchi
- Anant Madabhushi
- George E. Dahl
Who trusts Andrew Janowczyk overall
- Yun Liu
- Mateusz Buda
- Heang-Ping Chan
- Balazs Acs
- Peter Naylor
- Artem Shmatko
- Hideyuki Shimizu
- Suresh Dara
- V. Baxi
- Geert J. S. Litjens
Papers from Andrew Janowczyk's perspective
Ordered by how strongly the researchers Andrew Janowczyk 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)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (2016) — 1,296 citations
- HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides (2019) — 325 citations