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Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.

, , , , and . ISBI, page 1059-1062. IEEE, (2016)

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Large Margin Local Estimate With Applications to Medical Image Classification., , , , , , , and . IEEE Trans. Med. Imaging, 34 (6): 1362-1377 (2015)Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference., , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 191-198. Springer, (2011)Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information., , , , and . Comput. Medical Imaging Graph., 36 (1): 47-53 (2012)Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network., , , and . Pattern Recognit., (2020)Enhancing medical image registration via appearance adjustment networks., , , , and . NeuroImage, (2022)Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation., , , , and . CoRR, (2020)Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning., , , , , and . CoRR, (2021)A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (5): 733-744 (2019)Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search., , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 763-771. Springer, (2020)Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies., , , , , and . EMBC, page 3658-3688. IEEE, (2019)