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Tackling the Problem of Data Imbalancing for Melanoma Classification., , , , , , and . BIOIMAGING, page 32-39. SciTePress, (2016)Classification of melanoma lesions using sparse coded features and random forests., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850C. SPIE, (2016)Tackling the Problem of Data Imbalancing for Melanoma Classification., , , , , , and . BIOIMAGING, page 32-39. SciTePress, (2016)An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2017)Classifying DME vs normal SD-OCT volumes: A review., , , , , , and . ICPR, page 1297-1302. IEEE, (2016)Exploration of Deep Learning-based Multimodal Fusion for Semantic Road Scene Segmentation., , , , , and . VISIGRAPP (5: VISAPP), page 336-343. SciTePress, (2019)Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections., , , , , , , , , and . EMBC, page 1344-1347. IEEE, (2016)Attitude Estimation from Polarimetric Cameras., , , and . IROS, page 8397-8403. IEEE, (2018)On spatio-temporal saliency detection in videos using multilinear PCA., , and . ICPR, page 1876-1880. IEEE, (2016)Automatic differentiation of melanoma from dysplastic nevi., , , and . Comput. Medical Imaging Graph., (2015)