Charles E. Kahn Jr.

Radiology: Artificial Intelligence · 1997–2020

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

Who trusts Charles E. Kahn Jr. overall

1. Kevin B. Korb
2. Carmen Lacave

Papers from Charles E. Kahn Jr.'s perspective

Ordered by how strongly the researchers Charles E. Kahn Jr. trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
2. A Critical Review of Recurrent Neural Networks for Sequence Learning
3. Probabilistic reasoning in intelligent systems - networks of plausible inference
4. Explanation in Bayesian belief networks
5. Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
6. Radiomics: the bridge between medical imaging and personalized medicine (Nature Reviews Clinical Oncology)
7. Preparing Medical Imaging Data for Machine Learning (Radiology)
8. STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. (Radiology)
9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
10. Computer-based medical consultations, MYCIN

Their papers

• Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. (2020) — 1,137 citations
• Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings. (2009) — 86 citations
• BANTER: a Bayesian network tutoring shell (1997)
• Construction of a Bayesian network for mammographic diagnosis of breast cancer (1997)