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MedGA: A novel evolutionary method for image enhancement in medical imaging systems, , , , , , и . Expert Systems with Applications, (2019)Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering., , , , , , , , , и . Int. J. Imaging Syst. Technol., 25 (3): 213-225 (2015)Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation., , , , , , , , и . CoRR, (2022)A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning., , , , , , , , , и 1 other автор(ы). Comput. Methods Programs Biomed., (2017)Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm., , , , , , , , , и 5 other автор(ы). Inf. Fusion, (сентября 2023)Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique., , , , , , , , , и . Advances in Neural Networks, том 54 из Smart Innovation, Systems and Technologies, Springer, (2016)Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation., , , , и . ISBI, стр. 1-5. IEEE, (2022)Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine., , , и . GECCO (Companion), стр. 381-382. ACM, (2019)Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation., , , , , и . J. Digit. Imaging, 36 (2): 739-752 (апреля 2023)GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis., , , , , , , и . CIBB, том 12313 из Lecture Notes in Computer Science, стр. 44-54. Springer, (2019)