Program Committee:
ACL (2021-present),
Clinical NLP Workshop (2020-present),
MICCAI (2019-present),
AAAI (2020-present),
Workshop on NLP for Medical Conversations (NLPMC, 2021),
Semantic Indexing and Information Retrieval for Health, 42nd European Conference on Information Retrieval (SIIRH-ECIR, 2020),
BioNLP Workshop (2019-present),
ICCV Visual Recognition for Medical Image Workshop (2019-2020),
ICHI (2019-present),
The IEEE International Conference on Biomedical and Health Informatics (ICBHI, 2016-2021),
ACM-BCB (2015-present)
Reviewer:
ACM Transactions on Computing for Healthcare,
AMIA,
Artificial Intelligence in Medicine,
Bioinformatics,
BMC Bioinformatics,
Computational Biology and Chemistry,
Computer Methods and Programs in Biomedicine,
Database (Oxford),
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
IEEE Journal of Biomedical and Health Informatics (JBHI),
IEEE Transactions on Knowledge and Data Engineering,
IEEE Transactions on Medical Imaging (TMI),
IEEE Transactions on Neural Networks and Learning Systems,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
Journal of Biomedical Informatics (JBI),
Journal of Biomedical Semantics,
Journal of Digital Imaging,
Knowledge-Based Systems,
Nature Communications,
Nature Computational Science,
Nature Medicine,
Ophthalmology
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Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.
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J Am Med Inform Assoc. 2022 Aug 16;29(9):1449-1460. doi: 10.1093/jamia/ocac063. PMID: 35799370; PMCID: PMC9382394.
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Opportunities and obstacles for deep learning in biology and medicine.
Journal of The Royal Society Interface. 2018 Apr;15(141). doi: 10.1098/rsif.2017.0387. Review. PMID: 29618526; PMCID: PMC5938574.
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Holste G, Jiang Z, Jaiswal A, Hanna M, Minkowitz S, Legasto A, Escalon J, Steinberger S, Bittman M, Ding Y, Shih G, Peng Y, Wang Z.
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Zhu Q, Mathai TS, Mukherjee P, Peng Y, Summers RM, Lu Z.
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports.
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Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.
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Deep Learning Detection of Chest Compression Location Using Transesophageal Echocardiography.
Circulation. 2023 Nov 6;148(Suppl_1):A349-A349. doi: 10.1161/circ.148.suppl_1.349
Yan K, Peng Y, Standfort V, Bagheri M, Lu Z, Summers RM.
Comprehensive Lesion Tagging on Diverse CT Images: Learning from Radiology Reports and Label Ontology.
In RSNA Annual Meeting. 2019. (talk)
Yan K, Tang Y, Peng Y, Standfort V, Bagheri M, Lu Z, Summers RM.
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation in CT Images.
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Phan L, Ward M, Allot A, Peng Y, Wei CH, Lee K, Lu Z, Wang J, Youkharibache P, Zhang D, Lanczycki C, Geer L, Geer R, Marchler-Bauer A, Madej T, Lu S, Marchler G, Wang Y, Bryant S, Rose P, Holmes JB, Kattman BL.
Integrative Analyses of dbSNP For Variant Prioritization and Interpretation.
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A Deep Learning Approach for Automated Detection and Quantification of Geographic Atrophy from Color Fundus Photographs.
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WO2018176035A1, filed 03/24/2017