( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis.

, , , , , , , , и . IEEE Trans. Cybern., 54 (4): 2345-2357 (апреля 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

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)

Jinjin Wu

Yinghua Wu

Changzhu Wu

 

Другие публикации лиц с тем же именем

Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics., , , , и . J. Digit. Imaging, 33 (6): 1376-1386 (2020)Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning., и . CoRR, (2021)PGFed: Personalize Each Client's Global Objective for Federated Learning., , , и . ICCV, стр. 3923-3933. IEEE, (2023)Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification., и . ISBI, стр. 1-5. IEEE, (2022)Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas., , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86701C. SPIE, (2013)Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories., , и . ICCV, стр. 1419-1426. IEEE Computer Society, (2011)Do pre-trained deep learning models improve computer-aided classification of digital mammograms?, , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057523. SPIE, (2018)Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective., , , , и . J. Digital Imaging, 31 (4): 387-392 (2018)Object tracking based on Huber loss function., , и . Vis. Comput., 35 (11): 1641-1654 (2019)Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI., , и . MICCAI (2), том 7511 из Lecture Notes in Computer Science, стр. 437-445. Springer, (2012)