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RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.

, , , , and . ICBRA, page 28-33. ACM, (2020)

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Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET., , , , and . IEEE Trans. Med. Imaging, 33 (4): 995-1003 (2014)Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images., , , , and . IEEE Trans. Biomed. Engineering, 65 (1): 21-30 (2018)Automatic lung tumor segmentation on PET images based on random walks and tumor growth model., , , , and . ISBI, page 1385-1388. IEEE, (2014)Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images., , , and . Medical Image Analysis, 23 (1): 84-91 (2015)RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images., , , , and . ICBRA, page 28-33. ACM, (2020)Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions., , , , and . IEEE Trans. Image Processing, 28 (2): 755-766 (2019)Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images., , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 61-69. (2016)Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images., , , and . Multimedia Syst., 25 (2): 127-133 (2019)Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT., , , and . J. Digital Imaging, 32 (2): 241-250 (2019)Dealing with uncertainty and imprecision in image segmentation using belief function theory., , , , and . Int. J. Approx. Reasoning, 55 (1): 376-387 (2014)