Mustafa Suleyman

Research interests

Publications

• Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

  Journal of Medical Internet Research · 2021 · https://doi.org/10.2196/26151

• Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

  Nature Protocols · 2021 · 10.1038/s41596-021-00513-5

• Predicting conversion to wet age-related macular degeneration using deep learning

  Nature Medicine · 2020 · https://doi.org/10.1038/s41591-020-0867-7

• International evaluation of an AI system for breast cancer screening

  Nature · 2020 · https://doi.org/10.1038/s41586-019-1799-6

• Key challenges for delivering clinical impact with artificial intelligence

  BMC Medicine · 2019 · https://doi.org/10.1186/s12916-019-1426-2

• A clinically applicable approach to continuous prediction of future acute kidney injury

  Nature · 2019 · https://doi.org/10.1038/s41586-019-1390-1

• Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

  arXiv (Cornell University) · 2018 · https://doi.org/10.48550/arxiv.1809.04430

• Clinically applicable deep learning for diagnosis and referral in retinal disease

  Nature Medicine · 2018 · https://doi.org/10.1038/s41591-018-0107-6

• The Kinetics Human Action Video Dataset

  arXiv (Cornell University) · 2017 · https://doi.org/10.48550/arxiv.1705.06950

• Teaching Machines to Read and Comprehend

  arXiv (Cornell University) · 2015

• Teaching Machines to Read and Comprehend

  arXiv (Cornell University) · 2015 · 10.48550/arxiv.1506.03340

• Learning to Transduce with Unbounded Memory

  arXiv (Cornell University) · 2015 · https://doi.org/10.48550/arxiv.1506.02516

• Massively Parallel Methods for Deep Reinforcement Learning

  arXiv (Cornell University) · 2015 · 10.48550/arxiv.1507.04296

Current projects

No projects listed.