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Weill Cornell Medicine
Care
Discover
Teach
Home
Research
Lab Team
Publications
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Home
Publications
Publications
Found 53 results
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2018
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)
2019
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.
2020
Peng Y, Lee S, Elton DC, Shen T, Tang Y-xing, Chen Q, Wang S, Zhu Y, Summers R, Lu Z
. 2020.
Automatic recognition of abdominal lymph nodes from clinical text
.
Proceedings of the 3rd Clinical Natural Language Processing Workshop.
2021
Peng Y, Tang Y, Lee S, Zhu Y, Summers RM, Lu Z
. 2021.
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature
.
IEEE Transactions on Big Data. 7(1):3-12.
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.
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).
He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J
. 2021.
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
JAMIA Open. 4(1):ooab026.
He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J
. 2021.
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
JAMIA Open. 4(1):ooab026.
He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J
. 2021.
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
JAMIA Open. 4(1):ooab026.
2022
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.
Wanyan T, Lin M, Klang E, Menon KM, Gulamali FF, Azad A, Zhang Y, Ding Y, Wang Z, Wang F et al.
. 2022.
Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.
.
ACM BCB. 2022
2023
Patra BGopal, Sun Z, Cheng Z, Kumar PKasi Reddy, Altammami A, Liu Y, Joly R, Jedlicka C, Delgado D, Pathak J et al.
. 2023.
Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression.
.
Front Psychiatry. 14:1258887.
Xu J, Wang F, Zang C, Zhang H, Niotis K, Liberman AL, Stonnington CM, Ishii M, Adekkanattu P, Luo Y et al.
. 2023.
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.
.
Sci Rep. 13(1):8102.
Xu J, Wang F, Zang C, Zhang H, Niotis K, Liberman AL, Stonnington CM, Ishii M, Adekkanattu P, Luo Y et al.
. 2023.
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.
.
Sci Rep. 13(1):8102.
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.
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.
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.
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.
Tong J, Luo C, Sun Y, Duan R, Saine E, Lin L, Peng Y, Lu Y, Batra A, Pan A et al.
. 2023.
Confidence Score: A Data-Driven Measure for Inclusive Systematic Reviews Considering Unpublished Preprints.
.
J Am Med Inform Assoc.
Kang T, Sun Y, Kim JHyun, Ta C, Perotte A, Schiffer K, Wu M, Zhao Y, Moustafa-Fahmy N, Peng Y et al.
. 2023.
EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension.
.
J Am Med Inform Assoc.
Keloth VK, Banda JM, Gurley M, Heider PM, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, Patterson OV et al.
. 2023.
Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach.
.
J Biomed Inform. :104343.
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.
2024
Xu RLi, Wang S, Wang Z, Zhang Y, Xiao Y, Pathak J, Hodge D, Leng Y, S Watkins C, Ding Y et al.
. 2024.
Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups.
.
Proc (IEEE Int Conf Healthc Inform). 2024:189-199.
Zhang G, Jin Q, Zhou Y, Wang S, Idnay B, Luo Y, Park E, Nestor JG, Spotnitz ME, Soroush A et al.
. 2024.
Closing the gap between open source and commercial large language models for medical evidence summarization.
.
NPJ Digit Med. 7(1):239.
Zhang G, Jin Q, Zhou Y, Wang S, Idnay B, Luo Y, Park E, Nestor JG, Spotnitz ME, Soroush A et al.
. 2024.
Closing the gap between open source and commercial large language models for medical evidence summarization.
.
NPJ Digit Med. 7(1):239.
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