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Weill Cornell Medicine
Care
Discover
Teach
Home
Research
Lab Team
Publications
News
Resources
Contact Us
Home
Publications
Publications
Found 36 results
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Yifan Peng
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M
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
.
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.
N
Yeganova L
,
Islamaj R
,
Chen Q
,
Leaman R
,
Allot A
,
Wei C-H
,
Comeau DC
,
Kim W
,
Peng Y
,
W. Wilbur J
et al.
. 2020.
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
.
KDD AI for COVID.
O
Wei C-H
,
Peng Y
,
Leaman R
,
Davis APeter
,
Mattingly CJ
,
Li J
,
Wiegers TC
,
Lu Z
. 2015.
Overview of the Biocreative V chemical disease relation (CDR) task
.
Proceedings of the BioCreative V Workshop. :154-166.
P
Han Y
,
Chen C
,
Tewfik AH
,
Ding Y
,
Peng Y
. 2021.
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
.
IEEE International Symposium on Biomedical Imaging (ISBI).
R
Jaiswal A
,
Tang L
,
Ghosh M
,
Rousseau J
,
Peng Y
,
Ding Y
. 2021.
RadBERT-CL: Factually-Aware Contrastive Learning for Radiology Report Classification
.
Machine Learning for Health (ML4H). :196-208.
S
Jaiswal A
,
Li T
,
Zander C
,
Han Y
,
Rousseau JF
,
Peng Y
,
Ding Y
. 2021.
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
.
The IEEE International Conference on Data Mining (ICDM).
Peng Y
,
Yan K
,
Sandfort V
,
Summers RM
,
Lu Z
. 2019.
A self-attention based deep learning method for lesion attribute detection from CT reports
.
2019 IEEE International Conference on Healthcare Informatics (ICHI).
T
Peng Y
,
Zhang Z
,
Wang X
,
Yang L
,
Lu L
. 2019.
Text Mining and Deep Learning for Disease Classification
.
Handbook of Medical Image Computing and Computer Assisted Intervention. :109-136.
Wang X
,
Peng Y
,
Lu L
,
Lu Z
,
Summers RM
. 2018.
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
.
IEEE/CVF Conference on Computer Vision and Pattern Recognition. :9049-9058.
Peng Y
,
Yan S
,
Lu Z
. 2019.
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
.
Proceedings of the 18th BioNLP Workshop and Shared Task. :58–65.
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