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Tingyi Wanyan

Showing results (1-10 of 10) with videos related to

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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populationsMingquan Lin, Yunyu Xiao, Bojian Hou, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 19, 2023
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep LearningJunghwan Lee, Tingyi Wanyan, Qingyu Chen, et al.
IEEE Transactions on Big Data|March 26, 2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care UnitTingyi Wanyan, Akhil Vaid, Jessica K De Freitas, et al.
Journal of Cardiothoracic and Vascular Anesthesia|October 17, 2025
Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine LearningKuroush Nezafati, Sreekanth Cheruku, Tingyi Wanyan, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|August 12, 2022
Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality PredictionTingyi Wanyan, Mingquan Lin, Eyal Klang, et al.
Cardiovascular Digital Health Journal|October 31, 2022
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representationHossein Honarvar, Chirag Agarwal, Sulaiman Somani, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Patterns (New York, N.Y.)|November 1, 2021
Contrastive learning improves critical event prediction in COVID-19 patientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
JMIR Medical Informatics|January 5, 2021
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning ApproachAkhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19Akhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populationsMingquan Lin, Yunyu Xiao, Bojian Hou, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 19, 2023
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep LearningJunghwan Lee, Tingyi Wanyan, Qingyu Chen, et al.
IEEE Transactions on Big Data|March 26, 2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care UnitTingyi Wanyan, Akhil Vaid, Jessica K De Freitas, et al.
Journal of Cardiothoracic and Vascular Anesthesia|October 17, 2025
Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine LearningKuroush Nezafati, Sreekanth Cheruku, Tingyi Wanyan, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|August 12, 2022
Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality PredictionTingyi Wanyan, Mingquan Lin, Eyal Klang, et al.
Cardiovascular Digital Health Journal|October 31, 2022
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representationHossein Honarvar, Chirag Agarwal, Sulaiman Somani, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Patterns (New York, N.Y.)|November 1, 2021
Contrastive learning improves critical event prediction in COVID-19 patientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
JMIR Medical Informatics|January 5, 2021
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning ApproachAkhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19Akhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Pageof 1