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What you see is what you eat: An ALE meta-analysis of the neural correlates of food viewing in children and adolescents., , , , and . NeuroImage, (2015)Automatic detection and segmentation of ischemic lesions in computed tomography images of stroke patients., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867013. SPIE, (2013)Connectivity and phase coherence in neural network models of interconnected Z4-bi-stable units., , , and . EMBC, page 5458-5461. IEEE, (2012)Mutual information matching in multiresolution contexts., , and . Image Vis. Comput., 19 (1-2): 45-52 (2001)Blood pool agent contrast-enhanced MRA: level-set-based artery-vein separation., , , , and . Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Automated prediction of tissue outcome after acute ischemic stroke in computed tomography perfusion images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941412. SPIE, (2015)Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490X. SPIE, (2019)Image fusion using geometrical features., , , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Probabilistic multiscale image segmentation: set-up and first results (Proceedings Only)., , and . VBC, volume 1808 of SPIE Proceedings, SPIE, (1992)Marker Guided Registration of Electromagnetic Dipole Data with Tomographic Images., and . IPMI, volume 511 of Lecture Notes in Computer Science, page 142-153. Springer, (1991)