Timo Minssen

Health Informatics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Timo Minssen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sandra Wachter
  2. Samuel G. Finlayson

Papers from Timo Minssen's perspective

Ordered by how strongly the researchers Timo Minssen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Potential Liability for Physicians Using Artificial Intelligence.
  2. Adversarial attacks on medical machine learning (Science)
  3. Clinically applicable deep learning for diagnosis and referral in retinal disease
  4. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
  5. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? (BMJ Global Health)
  6. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
  7. Big Data's Disparate Impact
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. The mythos of model interpretability
  10. The Black Box Society: The Secret Algorithms That Control Money and Information

Their papers