Drew F. K. Williamson
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 12 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 363 citations into it; #29,574 of 35,345 by trust here, #9,170 by citations
- Computer Vision and Pattern Recognition — 141 citations into it
- Biophysics — 76 citations into it; #1,032 of 1,196 by trust here, #471 by citations
- Cancer Research — 73 citations into it
- Oncology — 68 citations into it
- Medical Imaging — 27 citations into it
- Multimodal Learning — 17 citations into it
- Natural Language Processing — 11 citations into it
Whom Drew F. K. Williamson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Ming Y. Lu
- Karen Simonyan
- Ilya Sutskever
- Richard J. Chen
Who trusts Drew F. K. Williamson overall
Papers from Drew F. K. Williamson's perspective
Ordered by how strongly the researchers Drew F. K. Williamson trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A visual-language foundation model for computational pathology (2024) — 1,028 citations
- A multimodal generative AI copilot for human pathology (2024) — 471 citations
- Towards a General-Purpose Foundation Model for Computational Pathology (2024) — 1,590 citations
- Artificial intelligence for digital and computational pathology (2023) — 348 citations
- Algorithm fairness in artificial intelligence for medicine and healthcare (2023) — 550 citations
- Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning (2022) — 577 citations
- Artificial Intelligence for Multimodal Data Integration in Oncology (2022) — 486 citations
- Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images (2021) — 406 citations
- Synthetic data in machine learning for medicine and healthcare (2021) — 694 citations
- Data-efficient and weakly supervised computational pathology on whole-slide images (2020) — 2,191 citations
- AI-based pathology predicts origins for cancers of unknown primary (2020) — 622 citations
- Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis (2019) — 654 citations