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On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology.

, , , , , , , , , , , and . ASONAM, page 543-550. ACM, (2023)

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On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology., , , , , , , , , and 2 other author(s). ASONAM, page 543-550. ACM, (2023)Improved Ureteroscopies Care Through the Use of 3D Printing Techniques., , , , , , , , , and 1 other author(s). ASONAM, page 566-570. ACM, (2023)Skin Lesion Segmentation Using Attention-Based DenseUNet., , , and . BIOINFORMATICS, page 91-100. SCITEPRESS, (2023)US-Net: A Breast Ultrasound Image Segmentation using Deep Learning., , , , , and . ASONAM, page 596-602. ACM, (2023)Dynamic texture-based scene classification using Deep Belief Networks., , , and . LOPAL, page 57:1-57:6. ACM, (2018)Learning combined features for automatic facial expression recognition., , , , and . Int. J. Knowl. Eng. Soft Data Paradigms, 6 (3/4): 153-169 (2019)A color spatio-temporal segmentation tool applied to sequences of color texture images., , , , and . IPTA, page 413-416. IEEE, (2014)Automated Skin Lesion Segmentation using VGG-UNet., , , and . ASONAM, page 370-377. IEEE, (2022)Segmentation and Classification of Dermoscopic Skin Cancer on Green Channel., , , and . ASONAM, page 347-354. IEEE, (2022)