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Shandong Wu

Showing results (11-20 of 97) with videos related to

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Artificial Intelligence in Medicine|September 25, 2020
Handling imbalanced medical image data: A deep-learning-based one-class classification approachLong Gao, Lei Zhang, Chang Liu, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 10, 2026
<math><mi>Δ</mi> <mi>t</mi></math> -Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk PredictionZhengbo Zhou, Dooman Arefan, Margarita Zuley, et al.
IEEE Journal of Biomedical and Health Informatics|February 21, 2020
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification PerformanceDegan Hao, Lei Zhang, Jules Sumkin, et al.
Resuscitation|July 6, 2023
Interpretable machine learning model for imaging-based outcome prediction after cardiac arrestChang Liu, Jonathan Elmer, Dooman Arefan, et al.
Journal of Digital Imaging|June 5, 2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI RadiomicsGiacomo Nebbia, Qian Zhang, Dooman Arefan, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|June 4, 2019
Radiomic features from computed tomography to differentiate invasive pulmonary adenocarcinomas from non-invasive pulmonary adenocarcinomas appearing as part-solid ground-glass nodulesTing Luo, Ke Xu, Zheng Zhang, et al.
European Radiology|July 30, 2020
Correction to: Association of "initial CT" findings with mortality in older patients with coronavirus disease 2019 (COVID-19)Yan Li, Zhenlu Yang, Tao Ai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 22, 2022
Disentangled and Proportional Representation Learning for Multi-View Brain ConnectomesYanfu Zhang, Liang Zhan, Shandong Wu, et al.
Journal of Digital Imaging|July 2, 2020
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation StudyKadie Clancy, Sarah Aboutalib, Aly Mohamed, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 27, 2023
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum LearningZhengbo Zhou, Jun Luo, Dooman Arefan, et al.
Pageof 10

Showing results (11-20 of 97) with videos related to

Sort By:
Pageof 10
Artificial Intelligence in Medicine|September 25, 2020
Handling imbalanced medical image data: A deep-learning-based one-class classification approachLong Gao, Lei Zhang, Chang Liu, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 10, 2026
<math><mi>Δ</mi> <mi>t</mi></math> -Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk PredictionZhengbo Zhou, Dooman Arefan, Margarita Zuley, et al.
IEEE Journal of Biomedical and Health Informatics|February 21, 2020
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification PerformanceDegan Hao, Lei Zhang, Jules Sumkin, et al.
Resuscitation|July 6, 2023
Interpretable machine learning model for imaging-based outcome prediction after cardiac arrestChang Liu, Jonathan Elmer, Dooman Arefan, et al.
Journal of Digital Imaging|June 5, 2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI RadiomicsGiacomo Nebbia, Qian Zhang, Dooman Arefan, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|June 4, 2019
Radiomic features from computed tomography to differentiate invasive pulmonary adenocarcinomas from non-invasive pulmonary adenocarcinomas appearing as part-solid ground-glass nodulesTing Luo, Ke Xu, Zheng Zhang, et al.
European Radiology|July 30, 2020
Correction to: Association of "initial CT" findings with mortality in older patients with coronavirus disease 2019 (COVID-19)Yan Li, Zhenlu Yang, Tao Ai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 22, 2022
Disentangled and Proportional Representation Learning for Multi-View Brain ConnectomesYanfu Zhang, Liang Zhan, Shandong Wu, et al.
Journal of Digital Imaging|July 2, 2020
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation StudyKadie Clancy, Sarah Aboutalib, Aly Mohamed, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 27, 2023
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum LearningZhengbo Zhou, Jun Luo, Dooman Arefan, et al.
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