Tom J. Pollard

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #34,214 of 35,345 by trust here, #10,319 by citations
• Evaluation & Benchmarks — 16 citations into it; #1,752 of 3,147 by trust here, #514 by citations
• Computer Networks and Communications — 14 citations into it
• Epidemiology — 10 citations into it; #239 of 2,148 by trust here, #163 by citations

Whom Tom J. Pollard trusts overall

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

1. Ishna Neamatullah
2. Alistair E. W. Johnson
3. Fernando Pérez
4. Brian E. Granger

Who trusts Tom J. Pollard overall

1. Dianbo Liu
2. Alistair E. W. Johnson
3. Edward Choi
4. Michael W. Dusenberry
5. Li Huang
6. Chao Yu
7. Eoin Brophy
8. Ioana Bica
9. Fei Wang
10. Jie Xu

Papers from Tom J. Pollard's perspective

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

1. IPython: A System for Interactive Scientific Computing
2. Preparing a collection of radiology examinations for distribution and retrieval
3. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
4. MIMIC-III, a freely accessible critical care database
5. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
6. NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
7. The eICU Collaborative Research Database, a freely available multi-center database for critical care research
8. Best Practices for Scientific Computing
9. The Unreasonable Effectiveness of Data
10. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. (AJR. American journal of roentgenology)

Their papers

• MIMIC-III, a freely accessible critical care database (2016) — 8,772 citations
• MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports (2019) — 2,082 citations
• The eICU Collaborative Research Database, a freely available multi-center database for critical care research (2018) — 1,838 citations
• The MIMIC Code Repository: enabling reproducibility in critical care research (2017) — 430 citations
• MIMIC-IV, a freely accessible electronic health record dataset (2023) — 3,152 citations
• MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs (2019) — 1,117 citations
• A “datathon” model to support cross-disciplinary collaboration (2016) — 80 citations