智慧醫療專題：大型真實世界醫療數據解析

重要期刊

• Lancet Digital Health

• Radiology: Artificial Intelligence

• Nature Medicine

• NPJ Digital Medicine

• Medical Physics

• Medical Image Analysis

• IEEE Transactions on Medical Imaging

• SIAM Journal on Mathematics of Data Science

• Scientific Data

學術活動

• GTC 2022

參考書目

• 教師提供講義、論文與參考資料

• 書籍

  • "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, Thomas Viehmann. ISBN: 978-1617295263 (2020). 中文版：PyTorch深度學習攻略, ISBN：9789863126737 (2021).

  • https://theaisummer.com/deep-learning-books-2022/ 

  • "Model Checking," (2nd Edition) Edmund M. Clarke, Jr., Orna Grumberg, Daniel Kroening, Doron Peled and Helmut Veith, MIT Press, 2018.

  • "Pattern Recognition and Machine Learning," Christopher M. Bishop, Springer, 2006.

  • "Introduction to Machine Learning," Ethem Alpaydin, MIT Press, 2009.

  • "Learning from Data," Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin, AMLBook, 2012.

  • Prof. Hung-Yi Lee’s Machine Learning website: http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML19.html 

  • Introduction to Machine Learning, Ethem Alpaydin, 2009, MIT Press

  • S. H. Park and K. Kan, "Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction," Radiology, 286(3), 800-809, 2018.

  • L. J. Bonnett et al., "Guide to presenting clinical prediction models for use in clinical settings," BMJ, 365: l737, 2019. 

  • Goodfellow, Bengio, Courville, Deep Learning, MIT Press, 2016

  • Szeliski, Computer Vision: Algorithms and Applications, Springer (online draft)

  • Vander’s Human Physiology, 15th edition, edited by Widmaier, Raff, Strang. McGraw Hill international edition

  • NVIDIA Clara Documentation https://docs.nvidia.com/clara/ 

  • RAPIDS Docs https://docs.rapids.ai/ 

  • Topol, E. (2019). Deep medicine: how artificial intelligence can make healthcare human again. Hachette UK.

  • Ranschaert, E. R., Morozov, S., & Algra, P. R. (Eds.). (2019). Artificial intelligence in medical imaging: opportunities, applications and risks. Springer.

  • Goodfellow, I., Bengio, Y., & Courville, A. (2017). Deep learning (adaptive computation and machine learning series). Cambridge Massachusetts, 321-359.

• 線上資料庫

  • PubMed

  • ClinicalTrials

  • Google Scholar

• Blog

  • AI Assistant Blog (Data Science Institute, American College of Radiology)