Maria Varkanitsa

According to our database, Maria Varkanitsa authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Aphasia severity prediction using a multi-modal machine learning approach.

Xinyi Hu, Maria Varkanitsa, Emerson Kropp, Margrit Betke, Prakash Ishwar, Swathi Kiran

NeuroImage, 2025

2024

A Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia.

Zijian Chen, Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, Archana Venkataraman

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

2023

Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data.

Saurav Chennuri, Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Swathi Kiran, Archana Venkataraman, Janusz Konrad, Prakash Ishwar, Margrit Betke

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery.

Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish, Ajay Kurani, James Higgins, David Caplan, Cynthia K. Thompson, Swathi Kiran, Margrit Betke, Prakash Ishwar

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2020

A machine learning approach for predicting post-stroke aphasia recovery: a pilot study.

Yiwen Gu, Murtadha Bahrani, Anne Billot, Sha Lai, Emily J. Braun, Maria Varkanitsa, Julia Bighetto, Brenda Rapp, Todd B. Parrish, David Caplan, Cynthia K. Thompson, Swathi Kiran, Margrit Betke

Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020