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Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

, , , , , , , , , , , and . Comput. Biol. Medicine, (2021)

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Using Data Mining Techniques to Analyze Facial Expression Motion Vectors., , , , , , , and . DIS, volume 14321 of Lecture Notes in Computer Science, page 1-19. Springer, (2023)Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images., , and . Biomed. Signal Process. Control., (2020)Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI., , , , , , and . IWINAC, volume 14674 of Lecture Notes in Computer Science, page 128-138. Springer, (2024)Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works., , , , , , , , , and 4 other author(s). CoRR, (2021)Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)., , , , , , , , , and 5 other author(s). Ann. Oper. Res., 339 (3): 1077-1118 (August 2024)Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data., , , , , , , , , and 4 other author(s). ACM Trans. Multim. Comput. Commun. Appl., 17 (3s): 104:1-104:24 (2021)Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models., , , , , , , , , and . CoRR, (2021)A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems., , , , and . Int. J. Neural Syst., 32 (3): 2250001:1-2250001:16 (2022)Automated detection and forecasting of COVID-19 using deep learning techniques: A review., , , , , , , , , and 5 other author(s). Neurocomputing, (2024)Sleep Apnea Diagnosis Using Complexity Features of EEG Signals., , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 74-83. Springer, (2022)