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A large margin algorithm for automated segmentation of white matter hyperintensity., , , , , , , and . Pattern Recognit., (2018)Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes., , , , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 181-196. PMLR, (2019)Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach., , and . CoRR, (2020)Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach., , and . ACM Multimedia, page 2862-2870. ACM, (2021)CookGAN: Meal Image Synthesis from Ingredients., , and . WACV, page 1439-1447. IEEE, (2020)Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images., , , , , , , , , and . IEEE Trans. Medical Imaging, 36 (1): 332-342 (2017)Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images., , , , , , , , , and 1 other author(s). Comput. Medical Imaging Graph., (2020)Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace., , and . CoRR, (2020)Nonrigid free-form registration using landmark-based statistical deformation models., , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831418. SPIE, (2012)CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval., , , and . AAAI, page 2423-2430. AAAI Press, (2021)