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3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI., , , , and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 661-671. Springer, (2019)Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures., , , and . EUSIPCO, page 1-5. IEEE, (2019)Developing a Smart PACS: CBIR System Using Deep Learning., , , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 296-309. Springer, (2020)DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network., , , , and . CBMS, page 628-633. IEEE, (2019)A secure, scalable and versatile multi-layer client-server architecture for remote intelligent data processing., , , and . J. Reliab. Intell. Environ., 1 (2-4): 173-187 (2015)Remote Calibration strategies for Low Cost Air Quality Multisensors: a performance comparison., , , , , and . ISOEN, page 1-4. IEEE, (2024)Chatbots Meet eHealth: Automatizing Healthcare., , , , , and . WAIAH@AI*IA, volume 1982 of CEUR Workshop Proceedings, page 40-49. CEUR-WS.org, (2017)Skin Lesions Classification: A Radiomics Approach with Deep CNN., , , , , , and . ICIAP Workshops, volume 11808 of Lecture Notes in Computer Science, page 252-259. Springer, (2019)A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI., , , and . ICA3PP (2), volume 8286 of Lecture Notes in Computer Science, page 217-224. Springer, (2013)On Reproducibility of Deep Convolutional Neural Networks Approaches., , and . RRPR, volume 11455 of Lecture Notes in Computer Science, page 104-109. Springer, (2018)