Lesions' similarity within each patient. Patients were included in

Lesions' similarity within each patient. Patients were included in

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Quantification of tumor heterogeneity: from data acquisition to metric generation: Trends in Biotechnology

White matter network of oral word reading identified by network-based lesion-symptom mapping - ScienceDirect

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study - The Lancet Digital Health

AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis, Insights into Imaging

Abnormalities in normal-appearing white matter from which multiple sclerosis lesions arise, Brain Communications

Measurement and application of patient similarity in personalized predictive modeling based on electronic medical records, BioMedical Engineering OnLine

Validation of a Novel Semiautomated Segmentation Method for MRI Detection of Cartilage-Related Bone Marrow Lesions - A.J. Dijkstra, P. Anbeek, K.G. Auw Yang, K.L. Vincken, M.A. Viergever, R.M. Castelein, D.B.F. Saris, 2010

A patient-similarity-based model for diagnostic prediction - ScienceDirect

Top Panel) Dice's similarity index when the binary lesion from the

Measurement and application of patient similarity in personalized predictive modeling based on electronic medical records, BioMedical Engineering OnLine

The Radiology Assistant : Multiple Sclerosis 2.0

Distributed changes of the functional connectome in patients with glioblastoma

Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study - eClinicalMedicine