89 citations · 101 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Bag of Recurrence Patterns Representation for Time-Series Classification
Nima Hatami, Yann Gavet, Johan Debayle
Time-Series Classification (TSC) has attracted a lot of attention in pattern recognition, because wide range of applications from different domains such as finance and health infor…
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Nima Hatami, Yann Gavet, Johan Debayle
Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data. While the…
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns
Nima Hatami, Michael Goldbaum
Artery and vein (AV) classification of retinal images is a key to necessary tasks, such as automated measurement of arteriolar-to-venular diameter ratio (AVR). This paper comprehen…