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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)Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies., , , , , и . EMBC, стр. 3658-3688. IEEE, (2019)Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference., , , , и . MICCAI (3), том 6893 из Lecture Notes in Computer Science, стр. 191-198. Springer, (2011)Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker., , , , , и . DICTA, стр. 1-7. IEEE, (2013)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)PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network., , , , , и . CoRR, (2023)Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT., , , , и . Inf. Fusion, (2018)A New Energy Framework With Distribution Descriptors for Image Segmentation., , , , и . IEEE Trans. Image Process., 22 (9): 3578-3590 (2013)Thoracic image matching with appearance and spatial distribution., , , , и . EMBC, стр. 4469-4472. IEEE, (2011)Cross-cohort dementia identification using transfer learning with FDG-PET imaging., , , , и . ISBI, стр. 1550-1554. IEEE, (2018)