Brain lesion classification using 3T MRS spectra and paired SVM kernels. - Ioannis N. Dimou; Ioannis Tsougos; Evaggelia E. Tsolaki; Evanthia Kousi; Eftychia E. Kapsalaki; Kyriaki Theodorou; Michail G. Kounelakis; Michalis E. Zervakis (Biomed. Signal Process. Control., 2011)

Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification. - Michail G. Kounelakis; Ioannis N. Dimou; Michael E. Zervakis; Ioannis Tsougos; Evangelia E. Tsolaki; Evanthia Kousi; Eftychia E. Kapsalaki; Kyriaki Theodorou (IEEE Trans. Inf. Technol. Biomed., 2011)

Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data. - Evangelia E. Tsolaki; Patricia Svolos; Evanthia Kousi; Eftychia E. Kapsalaki; Konstantinos Fountas; Kyriaki Theodorou; Ioannis Tsougos (Int. J. Comput. Assist. Radiol. Surg., 2013)

Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data. - Evangelia E. Tsolaki; Patricia Svolos; Evanthia Kousi; Eftychia E. Kapsalaki; Ioannis Fezoulidis; Konstantinos Fountas; Kyriaki Theodorou; Constantine Kappas; Ioannis Tsougos (Int. J. Comput. Assist. Radiol. Surg., 2015)

Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis. - Alexandros Vamvakas; Ioannis Tsougos; Nikolaos Arikidis; Eftychia E. Kapsalaki; Konstantinos Fountas; Ioannis Fezoulidis; Lena Costaridou (Biomed. Signal Process. Control., 2018)

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. - Carole H. Sudre; Jasmina Panovska; Eser Sanverdi; Sebastian Brandner; Vasileios K. Katsaros; George Stranjalis; Francesca B. Pizzini; Claudio Ghimenton; Katarina Surlan-Popovic; Jernej Avsenik; Maria Vittoria Spampinato; Mario Nigro; et al. (BMC Medical Informatics Decis. Mak., 2020)