Author of the publication

Deep curriculum learning in task space for multi-class based mammography diagnosis.

, , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

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)Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning., and . CoRR, (2021)PGFed: Personalize Each Client's Global Objective for Federated Learning., , , and . ICCV, page 3923-3933. IEEE, (2023)Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics., , , , and . J. Digit. Imaging, 33 (6): 1376-1386 (2020)Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification., and . ISBI, page 1-5. IEEE, (2022)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)Do pre-trained deep learning models improve computer-aided classification of digital mammograms?, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057523. SPIE, (2018)Probabilistic Cluster Signature for Modeling Motion Classes., , and . IROS, page 5731-5736. IEEE, (2009)Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition., and . Pattern Recognit., 42 (1): 194-214 (2009)Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective., , , , and . J. Digital Imaging, 31 (4): 387-392 (2018)