🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Anuj Pareek

Copenhagen University Hospital

ORCID: 0000-0002-1526-3685

Also affiliated with Artificial Intelligence in Medicine (Canada), Stanford University

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines”.

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

npj Digital Medicine(2020)10.1038/s41746-020-00341-z
N/A
0.991DataRank · unranked
739 citations

Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren, Shih-Cheng Huang

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Scientific Reports(2020)10.1038/s41598-020-78888-w
N/A
0DataRank · unranked
250 citations

Anuj Pareek, Roham T. Zamanian, Imon Banerjee, Matthew P. Lungren, Shih-Cheng Huang

Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

Nature Communications(2021)10.1038/s41467-021-22018-1
N/A
0DataRank · unranked
40 citations

Geoffrey Angus, Bhavik N. Patel, Anuj Pareek, Guido Davidzon, Long Jin +3 more

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

npj Digital Medicine(2023)10.1038/s41746-023-00811-0
N/A
0DataRank · unranked
419 citations

Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay Chaudhari +1 more

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Research Square(2023)10.21203/rs.3.rs-3483777/v1
N/A
0DataRank · unranked
96 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

arXiv (Cornell University)(2023)10.48550/arxiv.2309.07430
N/A
0DataRank · unranked
35 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

arXiv (Cornell University)(2023)10.48550/arxiv.2305.01146
N/A
0DataRank · unranked
6 citations

Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin +7 more

Adapted large language models can outperform medical experts in clinical text summarization

Nature Medicine(2024)10.1038/s41591-024-02855-5
N/A
0DataRank · unranked
680 citations

Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen +14 more

Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods

Fertility and Sterility(2024)10.1016/j.fertnstert.2024.02.024
N/A
0DataRank · unranked
11 citations

Anna L.V. Johansson, Cina Nyberg, Anuj Pareek, Catarina Almqvist, Sonia Hernandez-DIaz +2 more