... hippocampus book. Oxford University Press. Artaechevarria, X., Munoz-Barrutia, A., & Ortiz-de-Solorzano, C. (2009). Combination strategies in multi-atlas image segmentation ... task neural networks for joint hippocampus segmentation and ...
... multi-view cardiac mr detection, orientation, and segmentation with deep neural networks. Med. Image Anal. 48, 95–106 (2018) 10. Gessert, N., Schlaefer, A.: Left ventricle quantification using direct regression with segmentation ...
... segmentation with application to confocal microscopy images of bee brains. Neuroimage 21, 1428–1442 (2004) 6. Coupé, P., et al.: Patch-based segmentation using expert priors: application to hippocampus ... multi-atlas segmentation. In ...
... Multi-task neural networks for joint hippocampus segmentation and clinical score regression, Multimedia Tools and Applications 77 (22) (Nov. 2018) 29669–29686. [173] Hongyoon Choi, Kyong Hwan Jin, Predicting cognitive decline with deep ...
... neural networks-based mri image analysis for the Alz-heimer's disease prediction from mild cognitive impairment ... Multi-modal neuroimaging feature learning for multi-class diagnosis of Alzheimer's disease. Available on 5 Jan 2019 ...
... neural networks. In: Pop, M., et al. (eds.) STACOM 2018. LNCS, vol. 11395, pp. 412–420. Springer, Cham (2019). https://doi.org/10.1007/978-3-03012029-0 44 5. Yang, G., et al.: Left ventricle full quantification via hierarchical ...
... multi-scale image features aggregation for distinguishing different hippocampal subfields; (2) utilization of the ... Hippocampus Subfield Segmentation Conclusion Ethics Statement Author Contributions Acknowledgments References.
... hippocampus segmentation: relevance evaluation of three meta-information parameters. Comput Biol Med 95 39. Cao L, Li L, Zheng J, Fan X, Yin F, Shen H, Zhang J (2018) Multi-task neural networks for joint hippocampus segmentation and ...
... neural networks (CNNs) algorithms have been applied widely [7]. Joint hippocampal segmentation and pathological score regression using brain MRI scans model were proposed on multi-task ... clinical brain MRI images for the classification, ...
... clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest. Neurobiol. Aging 46, 180–191 (2016) Zhang, D., Shen, D.: Multi-modal multi-task learning for joint prediction of clinical scores in ...