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Disambiguation of "Wu, Shandong"

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Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis.

, , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)

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Shandong Luan

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Zongmin Wu

Dagang Wu

Weijia Wu

 

Other publications of authors with the same name

Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories., , and . ICCV, page 1419-1426. IEEE Computer Society, (2011)Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701C. SPIE, (2013)PGFed: Personalize Each Client's Global Objective for Federated Learning., , , and . ICCV, page 3923-3933. IEEE, (2023)Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification., and . ISBI, page 1-5. IEEE, (2022)Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI., , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 244-251. Springer, (2012)Tumor segmentation in brain MRI by sparse optimization., , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86691H. SPIE, (2013)Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance., , , , and . IEEE J. Biomed. Health Informatics, 24 (9): 2701-2710 (2020)A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation., , , , , , , and . Artif. Intell. Medicine, (2022)Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Medical knowledge-guided deep learning for mammographic breast density classification., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)