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Weill Cornell Medicine
Care
Discover
Teach
Home
Research
Lab Team
Publications
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Home
Publications
Publications
Found 25 results
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Lu, Zhiyong
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A
Wei C-H
,
Peng Y
,
Leaman R
,
Davis APeter
,
Mattingly CJ
,
Li J
,
Wiegers TC
,
Lu Z
. 2016.
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task
.
Database (Oxford). 2016
Tang Y-X
,
Tang Y-B
,
Peng Y
,
Yan K
,
Bagheri M
,
Redd BA
,
Brandon CJ
,
Lu Z
,
Han M
,
Xiao J
et al.
. 2020.
Automated abnormality classification of chest radiographs using deep convolutional neural networks
.
NPJ Digit Med. 3:70.
B
Chen Q
,
Rankine A
,
Peng Y
,
Aghaarabi E
,
Lu Z
. 2021.
Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study.
.
JMIR Med Inform. 9(12):e27386.
Comeau DC
,
Doğan RIslamaj
,
Ciccarese P
,
Cohen KBretonnel
,
Krallinger M
,
Leitner F
,
Lu Z
,
Peng Y
,
Rinaldi F
,
Torii M
et al.
. 2013.
BioC: a minimalist approach to interoperability for biomedical text processing
.
Database (Oxford). 2013:bat064.
Comeau DC
,
Batista-Navarro RTheresa
,
Dai H-J
,
Doğan RIslamaj
,
Yepes AJimeno
,
Khare R
,
Lu Z
,
Marques H
,
Mattingly CJ
,
Neves M
et al.
. 2014.
BioC interoperability track overview
.
Database (Oxford). 2014
C
Deng Y
,
Liu L
,
Jiang H
,
Peng Y
,
Wei Y
,
Zhou Z
,
Zhong Y
,
Zhao Y
,
Yang X
,
Yu J
et al.
. 2023.
Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction.
.
BMC Med Res Methodol. 23(1):22.
D
Keenan TDL
,
Chen Q
,
Peng Y
,
Domalpally A
,
Agrón E
,
Hwang CK
,
Thavikulwat AT
,
Lee DH
,
Li D
,
Wong WT
et al.
. 2020.
Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2
.
Ophthalmology.
Ghahramani GC
,
Brendel M
,
Chen Q
,
Keenan TD
,
Chen K
,
Chew EY
,
Lu Z
,
Peng Y
,
Wang F
. 2021.
Deep learning survival analysis on the progression to late AMD in the Age-Related Eye Disease Study
.
Investigative Ophthalmology & Visual Science.
E
Peng Y
,
Rios A
,
Kavuluru R
,
Lu Z
. 2018.
Extracting chemical-protein relations with ensembles of SVM and deep learning models
.
Database (Oxford). 2018
G
Paul A
,
Shen TC
,
Lee S
,
Balachandar N
,
Peng Y
,
Lu Z
,
Summers RM
. 2021.
Generalized Zero-shot Chest X-ray Diagnosis through Trait-Guided Multi-view Semantic Embedding with Self-training.
.
IEEE Trans Med Imaging.
Wang S
,
Zhu Y
,
Lee S
,
Elton DC
,
Shen TC
,
Tang Y
,
Peng Y
,
Lu Z
,
Summers RM
. 2022.
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.
.
Med Image Anal. 77:102345.
I
Peng Y
,
Wei C-H
,
Lu Z
. 2016.
Improving chemical disease relation extraction with rich features and weakly labeled data
.
J Cheminform. 8:53.
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.
L
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.
M
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.
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.
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.
N
Peng Y
,
Wang X
,
Lu L
,
Bagheri M
,
Summers R
,
Lu Z
. 2018.
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
.
AMIA Jt Summits Transl Sci Proc. 2017:188-196.
Islamaj R
,
Leaman R
,
Kim S
,
Kwon D
,
Wei C-H
,
Comeau DC
,
Peng Y
,
Cissel D
,
Coss C
,
Fisher C
et al.
. 2021.
NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature.
.
Sci Data. 8(1):91.
O
Ching T
,
Himmelstein DS
,
Beaulieu-Jones BK
,
Kalinin AA
,
Do BT
,
Way GP
,
Ferrero E
,
Agapow P-M
,
Zietz M
,
Hoffman MM
et al.
. 2018.
Opportunities and obstacles for deep learning in biology and medicine
.
J R Soc Interface. 15(141)
P
Lee J
,
Wanyan T
,
Chen Q
,
Keenan TDL
,
Glicksberg BS
,
Chew EY
,
Lu Z
,
Wang F
,
Peng Y
. 2022.
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
.
Mach Learn Med Imaging. 13583:11-20.
Peng Y
,
Keenan TD
,
Chen Q
,
Agrón E
,
Allot A
,
Wong WT
,
Chew EY
,
Lu Z
. 2020.
Predicting risk of late age-related macular degeneration using deep learning
.
NPJ Digit Med. 3:111.
R
Wang S
,
Lin M
,
Ding Y
,
Shih G
,
Lu Z
,
Peng Y
. 2022.
Radiology Text Analysis System (RadText): Architecture and Evaluation.
.
IEEE Int Conf Healthc Inform. 2022:288-296.
S
Sun Z
,
Lin M
,
Zhu Q
,
Xie Q
,
Wang F
,
Lu Z
,
Peng Y
. 2023.
A scoping review on multimodal deep learning in biomedical images and texts.
.
J Biomed Inform. 146:104482.