most citedAutomatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN

16 citations · 16 across the 1 of their papers we have counts for

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cs.CV2018

Magnetic Resonance Spectroscopy Quantification using Deep Learning

Nima Hatami, Michaël Sdika, Hélène Ratiney

Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research and it has the unique capability to give a non-invasive access to the biochemical content (me…

cs.CV2018

Towards integrating spatial localization in convolutional neural networks for brain image segmentation

Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin

Semantic segmentation is an established while rapidly evolving field in medical imaging. In this paper we focus on the segmentation of brain Magnetic Resonance Images (MRI) into ce…