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Enhancing medical image registration via appearance adjustment networks., , , , и . NeuroImage, (2022)Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information., , , , и . Comput. Medical Imaging Graph., 36 (1): 47-53 (2012)Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network., , , и . Pattern Recognit., (2020)A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency., , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (5): 733-744 (2019)Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning., , , , , и . CoRR, (2021)Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation., , , , и . CoRR, (2020)Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search., , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 763-771. Springer, (2020)Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies., , , , , и . EMBC, стр. 3658-3688. IEEE, (2019)Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker., , , , , и . DICTA, стр. 1-7. IEEE, (2013)Automated lung tumor segmentation for whole body PET volume based on novel downhill region growing., , , , и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 76233O. SPIE, (2010)