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Weill Cornell Medicine
Care
Discover
Teach
Home
Research
Lab Team
Publications
News
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Contact Us
Home
Publications
Publications
Found 104 results
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Title
Type
Year
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H
Liu H
,
Peng Y
,
Weng C
. 2023.
How Good Is ChatGPT for Medication Evidence Synthesis?
Stud Health Technol Inform. 302:1062-1066.
I
Benda NC
,
Rogers C
,
Sharma M
,
Narain W
,
Diamond LC
,
Ancker J
,
Seier K
,
Stetson PD
,
Sulieman L
,
Armstrong M
et al.
. 2022.
Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods.
.
JCO Clin Cancer Inform. 6:e2200071.
Armstrong M
,
Benda NC
,
Seier K
,
Rogers C
,
Ancker J
,
Stetson PD
,
Peng Y
,
Diamond L
. 2023.
Improving Cancer Care Communication: Identifying Sociodemographic Differences in Patient Portal Secure Messages Not Authored by the Patient.
.
Appl Clin Inform.
Peng Y
,
Wei C-H
,
Lu Z
. 2016.
Improving chemical disease relation extraction with rich features and weakly labeled data
.
J Cheminform. 8:53.
Ji Z
,
Shaikh MAbuzar
,
Moukheiber D
,
Srihari SN
,
Peng Y
,
Gao M
. 2021.
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
.
International Workshop on Machine Learning in Medical Imaging.
Lin M
,
Li T
,
Yang Y
,
Holste G
,
Ding Y
,
Van Tassel SH
,
Kovacs K
,
Shih G
,
Wang Z
,
Lu Z
et al.
. 2023.
Improving model fairness in image-based computer-aided diagnosis.
.
Nat Commun. 14(1):6261.
Peng Y
,
Tudor CO
,
Torii M
,
Wu CH
,
Vijay-Shanker K.
. 2012.
iSimp: A sentence simplification system for biomedicail text
.
IEEE International Conference on Bioinformatics and Biomedicine. :211-216.
Peng Y
,
Tudor CO
,
Torii M
,
Wu CH
,
Vijay-Shanker K
. 2014.
iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system
.
Database (Oxford). 2014
K
Wang S
,
Lin M
,
Ghosal T
,
Ding Y
,
Peng Y
. 2022.
Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review.
.
Health Data Sci. 2022
Han Y
,
Chen C
,
Tewfik A
,
Glicksberg B
,
Ding Y
,
Peng Y
,
Wang Z
. 2022.
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.
.
IEEE Winter Conf Appl Comput Vis. 2022:1789-1798.
L
Paul A
,
Shen TC
,
Peng Y
,
Lu Z
,
Summers RM
. 2021.
Learning few-shot chest X-ray diagnosis using images from the published scientific literature
.
IEEE International Symposium on Biomedical Imaging (ISBI).
Tang L
,
Peng Y
,
Wang Y
,
Ding Y
,
Durrett G
,
Rousseau JF
. 2023.
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.
.
Proc Conf Assoc Comput Linguist Meet. 2023:12532-12555.
Lee HGi
,
Scholle E
,
Al'Aref S
,
Beecy A
,
Peng Y
. 2021.
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
.
NAACL.
Allot A
,
Peng Y
,
Wei C-H
,
Lee K
,
Phan L
,
Lu Z
. 2018.
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC
.
Nucleic Acids Res. 46(W1):W530-W536.
Holste G
,
Wang S
,
Jiang Z
,
Shen TC
,
Shih G
,
Summers RM
,
Peng Y
,
Wang Z
. 2022.
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.
.
Data Augment Label Imperfections (2022). 13567:22-32.
Mathai TSudharshan
,
Lee S
,
Elton DC
,
Shen TC
,
Peng Y
,
Lu Z
,
Summers RM
. 2022.
Lymph node detection in T2 MRI with transformers
.
SPIE Medical Imaging. :120333B.
M
Wang X
,
Peng Y
,
Lu L
,
Lu Z
,
Summers RM
. 2018.
Method and system of building hospital-scale chest x-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases
.
Johnson AEW
,
Pollard TJ
,
Greenbaum NR
,
Lungren MP
,
Deng C-ying
,
Peng Y
,
Lu Z
,
Mark RG
,
Berkowitz SJ
,
Horng S
. 0.
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
.
Li G
,
Ross KE
,
Arighi CN
,
Peng Y
,
Wu CH
,
Vijay-Shanker K
. 2015.
miRTex: A Text Mining System for miRNA-Gene Relation Extraction
.
PLoS Comput Biol. 11(9):e1004391.
Du J
,
Chen Q
,
Peng Y
,
Xiang Y
,
Tao C
,
Lu Z
. 2019.
ML-Net: multi-label classification of biomedical texts with deep neural networks
.
J Am Med Inform Assoc. 26(11):1279-1285.
Yan K
,
Tang Y
,
Peng Y
,
Sandfort V
,
Bagheri M
,
Lu Z
,
Summers RM
. 2019.
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
.
Medical Image Computing and Computer Assisted Intervention – MICCAI. 11769:194-202.
Chen Q
,
Keenan TDL
,
Allot A
,
Peng Y
,
Agrón E
,
Domalpally A
,
Klaver CCW
,
Luttikhuizen DT
,
Colyer MH
,
Cukras CA
et al.
. 2021.
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
.
J Am Med Inform Assoc.
Lin M
,
Liu L
,
Gorden M
,
Kass M
,
Van Tassel S
,
Wang F
,
Peng Y
. 2022.
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.
.
Mach Learn Med Imaging. 13583:436-445.
Chen Q
,
Peng Y
,
Keenan T
,
Dharssi S
,
N EAgro
,
Wong WT
,
Chew EY
,
Lu Z
. 2019.
A multi-task deep learning model for the classification of Age-related Macular Degeneration
.
AMIA Jt Summits Transl Sci Proc. 2019:505-514.
Ghahramani G
,
Brendel M
,
Lin M
,
Chen Q
,
Keenan T
,
Chen K
,
Chew E
,
Lu Z
,
Peng Y
,
Wang F
. 2021.
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
.
AMIA Annu Symp Proc. 2021:506-515.
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