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2022
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.
Guo Y, Li Q, Yang X, Jaffee MS, Wu Y, Wang F, Bian J.  2022.  Prevalence of Alzheimer's and Related Dementia Diseases and Risk Factors Among Transgender Adults, Florida, 2012‒2020.. Am J Public Health. 112(5):754-757.
Guo Y, Li Q, Yang X, Jaffee MS, Wu Y, Wang F, Bian J.  2022.  Prevalence of Alzheimer's and Related Dementia Diseases and Risk Factors Among Transgender Adults, Florida, 2012‒2020.. Am J Public Health. 112(5):754-757.
Lin M, Liu L, Gordon M, Kass M, Wang F, Van Tassel SH, Peng Y.  2022.  Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network.. Ophthalmol Sci. 2(4):100209.
Xu J, Guo Y, Wang F, Xu H, Lucero R, Bian J, Prosperi M.  2022.  Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine.. BMJ Open. 12(6):e059715.
Xu Z, Mao C, Su C, Zhang H, Siempos I, Torres LK, Pan D, Luo Y, Schenck EJ, Wang F.  2022.  Sepsis subphenotyping based on organ dysfunction trajectory.. Crit Care. 26(1):197.
Chen Z, Zhang H, George TJ, Guo Y, Prosperi M, Guo J, Braithwaite D, Wang F, Kibbe W, Wagner L et al..  2022.  Simulating Colorectal Cancer Trials Using Real-World Data.. JCO Clin Cancer Inform. 6:e2100195.
Chen Z, Zhang H, George TJ, Guo Y, Prosperi M, Guo J, Braithwaite D, Wang F, Kibbe W, Wagner L et al..  2022.  Simulating Colorectal Cancer Trials Using Real-World Data.. JCO Clin Cancer Inform. 6:e2100195.
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
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
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
Su C, Hou Y, Zhou M, Rajendran S, Maasch JRMA, Abedi Z, Zhang H, Bai Z, Cuturrufo A, Guo W et al..  2023.  Biomedical discovery through the integrative biomedical knowledge hub (iBKH).. iScience. 26(4):106460.
Wang D, Fan F, Wu Z, Liu R, Wang F, Yu H.  2023.  CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising.. Phys Med Biol. 68(6)
Wang D, Fan F, Wu Z, Liu R, Wang F, Yu H.  2023.  CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising.. Phys Med Biol. 68(6)
Wang D, Fan F, Wu Z, Liu R, Wang F, Yu H.  2023.  CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising.. Phys Med Biol. 68(6)
Rajendran S, Xu Z, Pan W, Ghosh A, Wang F.  2023.  Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care.. PLOS Digit Health. 2(3):e0000117.
Zang C, Zhang Y, Xu J, Bian J, Morozyuk D, Schenck EJ, Khullar D, Nordvig AS, Shenkman EA, Rothman RL et al..  2023.  Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.. Nat Commun. 14(1):1948.
Zang C, Zhang Y, Xu J, Bian J, Morozyuk D, Schenck EJ, Khullar D, Nordvig AS, Shenkman EA, Rothman RL et al..  2023.  Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.. Nat Commun. 14(1):1948.
Zhang H, Zang C, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Zhang Y, Nordvig AS et al..  2023.  Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.. Nat Med. 29(1):226-235.
Zhang H, Zang C, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Zhang Y, Nordvig AS et al..  2023.  Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.. Nat Med. 29(1):226-235.
Varma JK, Zang C, Carton TW, Block JP, Khullar DJ, Zhang Y, Weiner MG, Rothman RL, Schenck EJ, Xu Z et al..  2023.  Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.. medRxiv.
Varma JK, Zang C, Carton TW, Block JP, Khullar DJ, Zhang Y, Weiner MG, Rothman RL, Schenck EJ, Xu Z et al..  2023.  Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.. medRxiv.
Zhang Y, Hu H, Fokaidis V, V CLewis, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J et al..  2023.  Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.. Environ Adv. 11:100352.
Zhang Y, Hu H, Fokaidis V, V CLewis, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J et al..  2023.  Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.. Environ Adv. 11:100352.
Zhang Y, Hu H, Fokaidis V, V CLewis, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J et al..  2023.  Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.. Environ Adv. 11:100352.