Masoud Afnan

Public Health, Environmental and Occupational Health · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masoud Afnan trusts overall

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

  1. Yanhe Liu

Papers from Masoud Afnan's perspective

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

  1. This looks like that: deep learning for interpretable image recognition
  2. Prevalence, consequence, and significance of reverse cleavage by human embryos viewed with the use of the Embryoscope time-lapse video system.
  3. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  4. Clinical significance of intercellular contact at the four-cell stage of human embryos, and the use of abnormal cleavage patterns to identify embryos with low implantation potential: a time-lapse…
  5. Time-lapse deselection model for human day 3 in vitro fertilization embryos: the combination of qualitative and quantitative measures of embryo growth.
  6. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
  7. Accurate intelligible models with pairwise interactions
  8. Towards Interpretable Object Detection by Unfolding Latent Structures
  9. Blastocyst score affects implantation and pregnancy outcome: towards a single blastocyst transfer.
  10. Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications

Their papers