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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

T. Wanyan, M. Lin, E. Klang, K. Menon, F. Gulamali, A. Azad, Y. Zhang, Y. Ding, Z. Wang, F. Wang, B. Glicksberg, and Y. Peng. BCB, page 9:1-9:9. ACM, (2022)

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Mingquan Bao

Lin Lin

Other publications of authors with the same name

Multiclass and Multilabel Classifications by Consensus and Complementarity-Based Multiview Latent Space Projection.J. Ma, W. Kou, M. Lin, C. Cho, and B. Chiu. IEEE Trans. Syst. Man Cybern. Syst., 54 (3): 1705-1718 (2024)Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.M. Lin, T. Li, Z. Sun, G. Holste, Y. Ding, F. Wang, G. Shih, and Y. Peng. CoRR, (2024)Person re-identification via semi-supervised adaptive graph embedding.J. Liu, M. Lin, M. Zhao, C. Zhan, B. Li, and J. Chui. Appl. Intell., 53 (3): 2656-2672 (2023)A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging.W. Chen, M. Lin, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, H. Liang, G. Feng, A. Ward, and B. Chiu. Comput. Biol. Medicine, (2018)A chest silhouette recognition method based on digital image processing.M. Lin, J. Xian, D. Gao, S. Wu, and J. Cai. ICNC, page 862-867. IEEE, (2014)Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.T. Wanyan, M. Lin, E. Klang, K. Menon, F. Gulamali, A. Azad, Y. Zhang, Y. Ding, Z. Wang, F. Wang and 2 other author(s). BCB, page 9:1-9:9. ACM, (2022)Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.M. Lin, L. Liu, M. Gorden, M. Kass, S. Tassel, F. Wang, and Y. Peng. MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 436-445. Springer, (2022)An empirical study of using radiology reports and images to improve ICU-mortality prediction.M. Lin, S. Wang, Y. Ding, L. Zhao, F. Wang, and Y. Peng. ICHI, page 497-498. IEEE, (2021)Prostate lesion detection and localization based on locality alignment discriminant analysis.M. Lin, W. Chen, M. Zhao, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, T. Chow, A. Ward, and B. Chiu. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344A. SPIE, (2017)An empirical study of using radiology reports and images to improve ICU mortality prediction.M. Lin, S. Wang, Y. Ding, L. Zhao, F. Wang, and Y. Peng. CoRR, (2023)

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Disambiguation of "Lin, Mingquan"

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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Please choose a person to relate this publication to

Mingquan Bao

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Mingquan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Please choose a person to relate this publication to

Mingquan Bao

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

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Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.