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Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.

, , , , , and . NeuroImage, (June 2023)

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XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning., , , , and . CoRR, (2022)Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator., , , and . CoRR, (2019)Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision., , and . CoRR, (2020)Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model., , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 4843-4857 (April 2023)Deep recurrent spatio-temporal neural network for motor imagery based BCI., , , , , and . BCI, page 1-3. IEEE, (2018)Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection., , , and . Neural Networks, (2019)Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI., , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (2): 739-749 (February 2023)SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation., , , , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 388-400. Springer, (2023)Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning., , , , , and . NeuroImage, (June 2023)Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model., , and . CoRR, (2021)