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Maria Varkanitsa

Showing results (11-20 of 18) with videos related to

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Arxiv|September 16, 2024
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke AphasiaZijian Chen, Maria Varkanitsa, Prakash Ishwar, et al.
Machine Learning in Clinical Neuroimaging : 7Th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. MLCN (Workshop) (7Th : 2024 : Marrakesh, Morocco)|March 9, 2026
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke AphasiaZijian Chen, Maria Varkanitsa, Prakash Ishwar, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|May 17, 2025
Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severityEmerson Kropp, Maria Varkanitsa, Nicole Carvalho, et al.
Neuropsychologia|April 11, 2018
Silent pauses in aphasiaGeorgia Angelopoulou, Dimitrios Kasselimis, George Makrydakis, et al.
Neurocase|July 6, 2019
Verbal memory and sentence comprehension in aphasia: A case seriesMaria Varkanitsa, Dimitrios Kasselimis, Gregoire Boulouis, et al.
Medrxiv : the Preprint Server for Health Sciences|March 27, 2026
Language comprehension in chronic aphasia relies on the language network, not the Multiple Demand networkAnne Billot, Maria Varkanitsa, Niharika Jhingan, et al.
Brain Sciences|October 28, 2023
Exploring Pragmatic Deficits in Relation to Theory of Mind and Executive Functions: Evidence from Individuals with Right Hemisphere StrokeDimitrios Tsolakopoulos, Dimitrios Kasselimis, Nikolaos Laskaris, et al.
Stroke|January 26, 2022
Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke AphasiaAnne Billot, Sha Lai, Maria Varkanitsa, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Arxiv|September 16, 2024
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke AphasiaZijian Chen, Maria Varkanitsa, Prakash Ishwar, et al.
Machine Learning in Clinical Neuroimaging : 7Th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. MLCN (Workshop) (7Th : 2024 : Marrakesh, Morocco)|March 9, 2026
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke AphasiaZijian Chen, Maria Varkanitsa, Prakash Ishwar, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|May 17, 2025
Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severityEmerson Kropp, Maria Varkanitsa, Nicole Carvalho, et al.
Neuropsychologia|April 11, 2018
Silent pauses in aphasiaGeorgia Angelopoulou, Dimitrios Kasselimis, George Makrydakis, et al.
Neurocase|July 6, 2019
Verbal memory and sentence comprehension in aphasia: A case seriesMaria Varkanitsa, Dimitrios Kasselimis, Gregoire Boulouis, et al.
Medrxiv : the Preprint Server for Health Sciences|March 27, 2026
Language comprehension in chronic aphasia relies on the language network, not the Multiple Demand networkAnne Billot, Maria Varkanitsa, Niharika Jhingan, et al.
Brain Sciences|October 28, 2023
Exploring Pragmatic Deficits in Relation to Theory of Mind and Executive Functions: Evidence from Individuals with Right Hemisphere StrokeDimitrios Tsolakopoulos, Dimitrios Kasselimis, Nikolaos Laskaris, et al.
Stroke|January 26, 2022
Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke AphasiaAnne Billot, Sha Lai, Maria Varkanitsa, et al.
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