Our review paper “Automated MS lesion detection and segmentation in clinical workflow: a systematic review” was published in NeuroImage: Clinical.
This work, conducted by Federico Spagnolo and colleagues, is the result of a great collaboration between HES-SO, CHUV and UniBasel. We investigate to what extent automatic tools in multiple sclerosis management fulfill the Quantitative Neuroradiology Initiative (QNI) framework necessary to integrate automated detection and segmentation into the clinical neuroradiology workflow.
