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Qingyu Chen, PhD

Associate Research Scientist of Biomedical Informatics and Data Science

Research & Publications
Biography

Research Summary

Dr. Chen has led the major milestone in AI and data science in healthcare from data generation to method development and further to practical applications. His research focuses on Artificial Intelligence and data science for healthcare and biomedicine, including but limited to the following areas:

Biomedical text mining and information retrieval
Medical image analytics and multimodal analysis
AI-assisted healthcare applications
Biocuration

Extensive Research Description

~40 first-authored papers out of ~70 in total
Work has been in Nature, Nature Machine Intelligence, Nature Aging, NPJ digital medicine, Nucleic Acids Research, Ophthalmology, Bioinformatics, Journal of the American Medical Informatics Association, and many others
Main awards include AI Talent Scholar (Top 50 in AI in cross-disciplines) selected by Baidu Scholar, NIH Fellows Award for Research Excellence (two times), NIH Summer Research Mentor Award (four times), NLM Honor Award (two times), Excellence in Teaching Awards (two times), and Top-ranked performance in biomedical and clinical NLP challenges as the first author (three times)
Taught over 20 courses and mentored over 10 students
Reviewed ~180 manuscripts and handled ~40 manuscripts as the editor
Developed one of the first series of biomedical language models including BioWordVec, BioSentVec, BioConceptVec, Multi-task BlueBERT, and Bioformer and AI-assisted healthcare applications including LitCovid, LitSuggest, LitSense, DeepSeeNet, M3-RPD, and DeepLensNet that have been accessed by millions of biomedical researchers and healthcare professionals

For more information, please visit https://sites.google.com/view/qingyuchen/home.

Coauthors

Selected Publications

An Updated Simplified Severity Scale for Age-Related Macular Degeneration, Incorporating Reticular Pseudodrusen: Age-Related Eye Disease Study Report No. 42Agrón E, Domalpally A, Chen Q, Lu Z, Chew E, Keenan T, Groups A. An Updated Simplified Severity Scale for Age-Related Macular Degeneration, Incorporating Reticular Pseudodrusen: Age-Related Eye Disease Study Report No. 42. Ophthalmology 2024 PMID: 38657840, DOI: 10.1016/j.ophtha.2024.04.011.
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledgeWei C, Allot A, Lai P, Leaman R, Tian S, Luo L, Jin Q, Wang Z, Chen Q, Lu Z. PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge. Nucleic Acids Research 2024, gkae235. PMID: 38572754, DOI: 10.1093/nar/gkae235.
Detection of reticular pseudodrusen on optical coherence tomography imagesElsawy A, Keenan T, Agron E, Chen Q, Chew E, Lu Z. Detection of reticular pseudodrusen on optical coherence tomography images. Progress In Biomedical Optics And Imaging 2024, 12926: 1292632-1292632-5. DOI: 10.1117/12.3007014.
Advancing entity recognition in biomedicine via instruction tuning of large language modelsKeloth V, Hu Y, Xie Q, Peng X, Wang Y, Zheng A, Selek M, Raja K, Wei C, Jin Q, Lu Z, Chen Q, Xu H. Advancing entity recognition in biomedicine via instruction tuning of large language models. Bioinformatics 2024, 40: btae163. PMID: 38514400, PMCID: PMC11001490, DOI: 10.1093/bioinformatics/btae163.
Ophthalmic care may not align with patient need: An analysis on state-wide patient needs and provider density between 2008 and 2022Gilson A, Chen Q, Adelman R. Ophthalmic care may not align with patient need: An analysis on state-wide patient needs and provider density between 2008 and 2022. International Journal Of Medical Informatics 2024, 185: 105411. PMID: 38492409, PMCID: PMC11047060, DOI: 10.1016/j.ijmedinf.2024.105411.
GeneGPT: augmenting large language models with domain tools for improved access to biomedical informationJin Q, Yang Y, Chen Q, Lu Z. GeneGPT: augmenting large language models with domain tools for improved access to biomedical information. Bioinformatics 2024, 40: btae075. PMID: 38341654, PMCID: PMC10904143, DOI: 10.1093/bioinformatics/btae075.
Improving large language models for clinical named entity recognition via prompt engineeringHu Y, Chen Q, Du J, Peng X, Keloth V, Zuo X, Zhou Y, Li Z, Jiang X, Lu Z, Roberts K, Xu H. Improving large language models for clinical named entity recognition via prompt engineering. Journal Of The American Medical Informatics Association 2024, ocad259. PMID: 38281112, DOI: 10.1093/jamia/ocad259.
A deep network DeepOpacityNet for detection of cataracts from color fundus photographsElsawy A, Keenan T, Chen Q, Thavikulwat A, Bhandari S, Quek T, Goh J, Tham Y, Cheng C, Chew E, Lu Z. A deep network DeepOpacityNet for detection of cataracts from color fundus photographs. Communications Medicine 2023, 3: 184. PMID: 38104223, PMCID: PMC10725427, DOI: 10.1038/s43856-023-00410-w.
Opportunities and challenges for ChatGPT and large language models in biomedicine and healthTian S, Jin Q, Yeganova L, Lai P, Zhu Q, Chen X, Yang Y, Chen Q, Kim W, Comeau D, Islamaj R, Kapoor A, Gao X, Lu Z. Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Briefings In Bioinformatics 2023, 25: bbad493. PMID: 38168838, PMCID: PMC10762511, DOI: 10.1093/bib/bbad493.
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrievalJin Q, Kim W, Chen Q, Comeau D, Yeganova L, Wilbur W, Lu Z. MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval. Bioinformatics 2023, 39: btad651. PMID: 37930897, PMCID: PMC10627406, DOI: 10.1093/bioinformatics/btad651.
BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasetsLai P, Wei C, Luo L, Chen Q, Lu Z. BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets. Journal Of Biomedical Informatics 2023, 146: 104487. PMID: 37673376, DOI: 10.1016/j.jbi.2023.104487.
AIONER: all-in-one scheme-based biomedical named entity recognition using deep learningLuo L, Wei C, Lai P, Leaman R, Chen Q, Lu Z. AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning. Bioinformatics 2023, 39: btad310. PMID: 37171899, PMCID: PMC10212279, DOI: 10.1093/bioinformatics/btad310.
From function to translation: Decoding genetic susceptibility to human diseases via artificial intelligenceLong E, Wan P, Chen Q, Lu Z, Choi J. From function to translation: Decoding genetic susceptibility to human diseases via artificial intelligence. Cell Genomics 2023, 3: 100320. PMID: 37388909, PMCID: PMC10300605, DOI: 10.1016/j.xgen.2023.100320.
Deep-GA-Net for Accurate and Explainable Detection of Geographic Atrophy on OCT ScansElsawy A, Keenan T, Chen Q, Shi X, Thavikulwat A, Bhandari S, Chew E, Lu Z. Deep-GA-Net for Accurate and Explainable Detection of Geographic Atrophy on OCT Scans. Ophthalmology Science 2023, 3: 100311. PMID: 37304045, PMCID: PMC10251072, DOI: 10.1016/j.xops.2023.100311.
Large language models and the retina: a review of current applications and future directionsGilson A, Chen Q, Singer M, Xu H, Adelman R. Large language models and the retina: a review of current applications and future directions. Journal Of Retina-Vitreous 2023, 32: 225. DOI: 10.37845/ret.vit.2023.32.38.
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep LearningLee J, Wanyan T, Chen Q, Keenan T, Glicksberg B, Chew E, Lu Z, Wang F, Peng Y. Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. 2022, 13583: 11-20. PMID: 36656604, PMCID: PMC9842432, DOI: 10.1007/978-3-031-21014-3_2.
Reticular Pseudodrusen Status, ARMS2/HTRA1 Genotype, and Geographic Atrophy Enlargement Age-Related Eye Disease Study 2 Report 32Agrón E, Domalpally A, Cukras C, Clemons T, Chen Q, Swaroop A, Lu Z, Chew E, Keenan T, Groups A. Reticular Pseudodrusen Status, ARMS2/HTRA1 Genotype, and Geographic Atrophy Enlargement Age-Related Eye Disease Study 2 Report 32. Ophthalmology 2022, 130: 488-500. PMID: 36481221, PMCID: PMC10121754, DOI: 10.1016/j.ophtha.2022.11.026.
Comprehensively identifying Long Covid articles with human-in-the-loop machine learningLeaman R, Islamaj R, Allot A, Chen Q, Wilbur W, Lu Z. Comprehensively identifying Long Covid articles with human-in-the-loop machine learning. Patterns 2022, 4: 100659. PMID: 36471749, PMCID: PMC9712067, DOI: 10.1016/j.patter.2022.100659.
Robust convolutional neural networks against adversarial attacks on medical imagesShi X, Peng Y, Chen Q, Keenan T, Thavikulwat A, Lee S, Tang Y, Chew E, Summers R, Lu Z. Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognition 2022, 132: 108923. DOI: 10.1016/j.patcog.2022.108923.
LitCovid in 2022: an information resource for the COVID-19 literatureChen Q, Allot A, Leaman R, Wei C, Aghaarabi E, Guerrerio J, Xu L, Lu Z. LitCovid in 2022: an information resource for the COVID-19 literature. Nucleic Acids Research 2022, 51: d1512-d1518. PMID: 36350613, PMCID: PMC9825538, DOI: 10.1093/nar/gkac1005.
Assigning species information to corresponding genes by a sequence labeling frameworkLuo L, Wei C, Lai P, Chen Q, Islamaj R, Lu Z. Assigning species information to corresponding genes by a sequence labeling framework. Database 2022, 2022: baac090. PMID: 36227127, PMCID: PMC9558450, DOI: 10.1093/database/baac090.
LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature CurationChen Q, Du J, Allot A, Lu Z. LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation. IEEE/ACM Transactions On Computational Biology And Bioinformatics 2022, 19: 2584-2595. PMID: 35536809, PMCID: PMC9647722, DOI: 10.1109/tcbb.2022.3173562.
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotationsChen Q, Allot A, Leaman R, Islamaj R, Du J, Fang L, Wang K, Xu S, Zhang Y, Bagherzadeh P, Bergler S, Bhatnagar A, Bhavsar N, Chang Y, Lin S, Tang W, Zhang H, Tavchioski I, Pollak S, Tian S, Zhang J, Otmakhova Y, Yepes A, Dong H, Wu H, Dufour R, Labrak Y, Chatterjee N, Tandon K, Laleye F, Rakotoson L, Chersoni E, Gu J, Friedrich A, Pujari S, Chizhikova M, Sivadasan N, Vg S, Lu Z. Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database 2022, 2022: baac069. PMID: 36043400, PMCID: PMC9428574, DOI: 10.1093/database/baac069.
Author Correction: Detecting visually significant cataract using retinal photograph-based deep learningTham Y, Goh J, Anees A, Lei X, Rim T, Chee M, Wang Y, Jonas J, Thakur S, Teo Z, Cheung N, Hamzah H, Tan G, Husain R, Sabanayagam C, Wang J, Chen Q, Lu Z, Keenan T, Chew E, Tan A, Mitchell P, Goh R, Xu X, Liu Y, Wong T, Cheng C. Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning. Nature Aging 2022, 2: 562-562. PMID: 37118457, PMCID: PMC10154230, DOI: 10.1038/s43587-022-00245-5.
Reticular Pseudodrusen: The Third Macular Risk Feature for Progression to Late Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report 30Agrón E, Domalpally A, Cukras C, Clemons T, Chen Q, Lu Z, Chew E, Keenan T, Groups A. Reticular Pseudodrusen: The Third Macular Risk Feature for Progression to Late Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report 30. Ophthalmology 2022, 129: 1107-1119. PMID: 35660417, PMCID: PMC9509418, DOI: 10.1016/j.ophtha.2022.05.021.
Detecting visually significant cataract using retinal photograph-based deep learningTham Y, Goh J, Anees A, Lei X, Rim T, Chee M, Wang Y, Jonas J, Thakur S, Teo Z, Cheung N, Hamzah H, Tan G, Husain R, Sabanayagam C, Wang J, Chen Q, Lu Z, Keenan T, Chew E, Tan A, Mitchell P, Goh R, Xu X, Liu Y, Wong T, Cheng C. Detecting visually significant cataract using retinal photograph-based deep learning. Nature Aging 2022, 2: 264-271. PMID: 37118370, PMCID: PMC10154193, DOI: 10.1038/s43587-022-00171-6.
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.Ghahramani G, Brendel M, Lin M, Chen Q, Keenan T, Chen K, Chew E, Lu Z, Peng Y, Wang F. Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA Annual Symposium Proceedings 2022, 2021: 506-515. PMID: 35308963.
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and SeverityKeenan T, Chen Q, Agrón E, Tham Y, Goh J, Lei X, Ng Y, Liu Y, Xu X, Cheng C, Bikbov M, Jonas J, Bhandari S, Broadhead G, Colyer M, Corsini J, Cousineau-Krieger C, Gensheimer W, Grasic D, Lamba T, Magone M, Maiberger M, Oshinsky A, Purt B, Shin S, Thavikulwat A, Lu Z, Chew E, Group A, Ajilore P, Akman A, Azar N, Azar W, Chan B, Cox V, Dave A, Dhanjal R, Donovan M, Farrell M, Finkel F, Goblirsch T, Ha W, Hill C, Kumar A, Kent K, Lee A, Patel P, Peprah D, Piliponis E, Selzer E, Swaby B, Tenney S, Zeleny A. DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity. Ophthalmology 2022, 129: 571-584. PMID: 34990643, PMCID: PMC9038670, DOI: 10.1016/j.ophtha.2021.12.017.
Predicting myocardial infarction through retinal scans and minimal personal informationDiaz-Pinto A, Ravikumar N, Attar R, Suinesiaputra A, Zhao Y, Levelt E, Dall’Armellina E, Lorenzi M, Chen Q, Keenan T, Agrón E, Chew E, Lu Z, Gale C, Gale R, Plein S, Frangi A. Predicting myocardial infarction through retinal scans and minimal personal information. Nature Machine Intelligence 2022, 4: 55-61. DOI: 10.1038/s42256-021-00427-7.
Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation StudyChen Q, Rankine A, Peng Y, Aghaarabi E, Lu Z. Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study. JMIR Medical Informatics 2021, 9: e27386. PMID: 34967748, PMCID: PMC8759018, DOI: 10.2196/27386.
Artificial Intelligence in Age-Related Macular Degeneration (AMD)Peng Y, Chen Q, Keenan T, Chew E, Lu Z. Artificial Intelligence in Age-Related Macular Degeneration (AMD). 2021, 101-112. DOI: 10.1007/978-3-030-78601-4_8.
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRIZhu Y, Wang S, Chen Q, Lee S, Shen T, Elton D, Lu Z, Summers R. Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. 2021, 12966: 101-109. DOI: 10.1007/978-3-030-87589-3_11.
Improving Interpretability in Machine Diagnosis Detection of Geographic Atrophy in OCT ScansShi X, Keenan T, Chen Q, De Silva T, Thavikulwat A, Broadhead G, Bhandari S, Cukras C, Chew E, Lu Z. Improving Interpretability in Machine Diagnosis Detection of Geographic Atrophy in OCT Scans. Ophthalmology Science 2021, 1: 100038. PMID: 36247813, PMCID: PMC9559084, DOI: 10.1016/j.xops.2021.100038.
Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language ProcessingChen Q, Leaman R, Allot A, Luo L, Wei C, Yan S, Lu Z. Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing. Annual Review Of Biomedical Data Science 2021, 4: 1-27. PMID: 34465169, DOI: 10.1146/annurev-biodatasci-021821-061045.
LitSuggest: a web-based system for literature recommendation and curation using machine learningAllot A, Lee K, Chen Q, Luo L, Lu Z. LitSuggest: a web-based system for literature recommendation and curation using machine learning. Nucleic Acids Research 2021, 49: w352-w358. PMID: 33950204, PMCID: PMC8262723, DOI: 10.1093/nar/gkab326.
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degenerationChen Q, Keenan T, Allot A, Peng Y, Agrón E, Domalpally A, Klaver C, Luttikhuizen D, Colyer M, Cukras C, Wiley H, Magone M, Cousineau-Krieger C, Wong W, Zhu Y, Chew E, Lu Z, Group F. Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. Journal Of The American Medical Informatics Association 2021, 28: 1135-1148. PMID: 33792724, PMCID: PMC8200273, DOI: 10.1093/jamia/ocaa302.
LitCovid: an open database of COVID-19 literatureChen Q, Allot A, Lu Z. LitCovid: an open database of COVID-19 literature. Nucleic Acids Research 2020, 49: d1534-d1540. PMID: 33166392, PMCID: PMC7778958, DOI: 10.1093/nar/gkaa952.
Better synonyms for enriching biomedical searchYeganova L, Kim S, Chen Q, Balasanov G, Wilbur W, Lu Z. Better synonyms for enriching biomedical search. Journal Of The American Medical Informatics Association 2020, 27: 1894-1902. PMID: 33083825, PMCID: PMC7727334, DOI: 10.1093/jamia/ocaa151.
Predicting risk of late age-related macular degeneration using deep learningPeng Y, Keenan T, Chen Q, Agrón E, Allot A, Wong W, Chew E, Lu Z. Predicting risk of late age-related macular degeneration using deep learning. Npj Digital Medicine 2020, 3: 111. PMID: 32904246, PMCID: PMC7453007, DOI: 10.1038/s41746-020-00317-z.
Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2Keenan T, Chen Q, Peng Y, Domalpally A, Agrón E, Hwang C, Thavikulwat A, Lee D, Li D, Wong W, Lu Z, Chew E. Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2. Ophthalmology 2020, 127: 1674-1687. PMID: 32447042, PMCID: PMC11079794, DOI: 10.1016/j.ophtha.2020.05.036.
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical recordsChen Q, Du J, Kim S, Wilbur W, Lu Z. Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. BMC Medical Informatics And Decision Making 2020, 20: 73. PMID: 32349758, PMCID: PMC7191680, DOI: 10.1186/s12911-020-1044-0.
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scaleChen Q, Lee K, Yan S, Kim S, Wei C, Lu Z. BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale. PLOS Computational Biology 2020, 16: e1007617. PMID: 32324731, PMCID: PMC7237030, DOI: 10.1371/journal.pcbi.1007617.
Keep up with the latest coronavirus researchChen Q, Allot A, Lu Z. Keep up with the latest coronavirus research. Nature 2020, 579: 193-193. PMID: 32157233, DOI: 10.1038/d41586-020-00694-1.
Evaluation of Five Sentence Similarity Models on Electronic Medical RecordsChen Q, Du J, Kim S, Wilbur W, Lu Z. Evaluation of Five Sentence Similarity Models on Electronic Medical Records. 2019, 533-533. DOI: 10.1145/3307339.3343239.
ML-Net: multi-label classification of biomedical texts with deep neural networksDu J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal Of The American Medical Informatics Association 2019, 26: 1279-1285. PMID: 31233120, PMCID: PMC7647240, DOI: 10.1093/jamia/ocz085.
BioSentVec: creating sentence embeddings for biomedical textsChen Q, Peng Y, Lu Z. BioSentVec: creating sentence embeddings for biomedical texts. 2019, 00: 1-5. DOI: 10.1109/ichi.2019.8904728.
A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus PhotographsKeenan T, Dharssi S, Peng Y, Chen Q, Agrón E, Wong W, Lu Z, Chew E. A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus Photographs. Ophthalmology 2019, 126: 1533-1540. PMID: 31358385, PMCID: PMC6810830, DOI: 10.1016/j.ophtha.2019.06.005.
BioWordVec, improving biomedical word embeddings with subword information and MeSHZhang Y, Chen Q, Yang Z, Lin H, Lu Z. BioWordVec, improving biomedical word embeddings with subword information and MeSH. Scientific Data 2019, 6: 52. PMID: 31076572, PMCID: PMC6510737, DOI: 10.1038/s41597-019-0055-0.
A multi-task deep learning model for the classification of Age-related Macular Degeneration.Chen Q, Peng Y, Keenan T, Dharssi S, Agro N E, Wong W, Chew E, Lu Z. A multi-task deep learning model for the classification of Age-related Macular Degeneration. AMIA Joint Summits On Translational Science Proceedings 2019, 2019: 505-514. PMID: 31259005, PMCID: PMC6568069.
LitSense: making sense of biomedical literature at sentence levelAllot A, Chen Q, Kim S, Alvarez R, Comeau D, Wilbur W, Lu Z. LitSense: making sense of biomedical literature at sentence level. Nucleic Acids Research 2019, 47: w594-w599. PMID: 31020319, PMCID: PMC6602490, DOI: 10.1093/nar/gkz289.
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicineDoğan R, Kim S, Chatr-aryamontri A, Wei C, Comeau D, Antunes R, Matos S, Chen Q, Elangovan A, Panyam N, Verspoor K, Liu H, Wang Y, Liu Z, Altınel B, Hüsünbeyi Z, Özgür A, Fergadis A, Wang C, Dai H, Tran T, Kavuluru R, Luo L, Steppi A, Zhang J, Qu J, Lu Z. Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database 2019, 2019: bay147. PMID: 30689846, PMCID: PMC6348314, DOI: 10.1093/database/bay147.
DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus PhotographsPeng Y, Dharssi S, Chen Q, Keenan T, Agrón E, Wong W, Chew E, Lu Z. DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs. Ophthalmology 2018, 126: 565-575. PMID: 30471319, PMCID: PMC6435402, DOI: 10.1016/j.ophtha.2018.11.015.
Sentence Similarity Measures RevisitedChen Q, Kim S, Wilbur W, Lu Z. Sentence Similarity Measures Revisited. 2018, 531-532. DOI: 10.1145/3233547.3233640.

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Extensive Research Description

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Selected Publications