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Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization.

, , , and . J. Electronic Imaging, 20 (4): 043002 (2011)

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Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images., , , , and . EMBC, page 1203-1206. IEEE, (2020)Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization., , , , , , , and . IEEE Access, (2023)A general fully automated deep-learning method to detect cardiomegaly in chest x-rays., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images., , , , , and . EMBC, page 1238-1241. IEEE, (2020)A Contextual Medical Image Viewer., and . IEEE Trans. Information Technology in Biomedicine, 11 (5): 583-592 (2007)Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization., , , and . J. Electronic Imaging, 20 (4): 043002 (2011)Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes., , , , , and . J. Digit. Imaging, 34 (2): 297-307 (2021)2D Image-Based Atrial Fibrillation Classification., , , , , , and . CinC, page 1-4. IEEE, (2021)Automated radiographic bone suppression with deep convolutional neural networks., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks., , , , , , , and . EMBC, page 1221-1224. IEEE, (2020)