Lesions' similarity within each patient. Patients were included in

Distributed changes of the functional connectome in patients with glioblastoma

Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack - ScienceDirect

Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study - eClinicalMedicine

Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia

Distribution of the lesion areas for all stroke patients with

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

Predicting axillary lymph node metastasis in breast cancer using the similarity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node

18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer, EJNMMI Research

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

Rituximab in MS, Experimental MS Treatments

First Clinical Experience with Integrated Whole-Body PET/MR: Comparison to PET/CT in Patients with Oncologic Diagnoses

Frontiers The risk profile of patients with COVID-19 as predictors of lung lesions severity and mortality—Development and validation of a prediction model