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Tissue-specific sparse deconvolution for brain CT perfusion., , and . Comput. Medical Imaging Graph., (2015)STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion., , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 97-105. Springer, (2017)Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries., , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 272-280. Springer, (2012)LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images., , , , , and . CoRR, (2023)DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation., , , , , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 454-463. Springer, (2022)Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients., , and . ISBI, page 872-875. IEEE, (2012)Indexing and mining large-scale neuron databases using maximum inner product search., , , , and . Pattern Recognit., (2017)BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis., , , , , , , and . CoRR, (2024)Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning., , and . Medical Image Anal., 17 (4): 417-428 (2013)Leveraging coupled multi-index for scalable retrieval of mammographic masses., , , and . ISBI, page 276-280. IEEE, (2015)