Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

no code implementations • 30 May 2023 • Xiaofeng Liu, Helen A. Shih, Fangxu Xing, Emiliano Santarnecchi, Georges El Fakhri, Jonghye Woo

Deep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain.

Brain Tumor Segmentation Incremental Learning +3

Preliminary study on the impact of EEG density on TMS-EEG classification in Alzheimer's disease

no code implementations • 19 May 2022 • Alexandra-Maria Tautan, Elias Casula, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi

Transcranial magnetic stimulation co-registered with electroencephalographic (TMS-EEG) has previously proven a helpful tool in the study of Alzheimer's disease (AD).

EEG Specificity

Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification

no code implementations • 29 Apr 2022 • Alexandra-Maria Tautan, Elias Casula, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi

Transcranial Magnetic Stimulation (TMS) combined with EEG recordings (TMS-EEG) has shown great potential in the study of the brain and in particular of Alzheimer's Disease (AD).

EEG Specificity