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Maria Varkanitsa
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2020 – today
- 2024
- [i1]Zijian Chen, Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, Archana Venkataraman:
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. CoRR abs/2409.02303 (2024) - 2023
- [c3]Saurav Chennuri, Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Swathi Kiran, Archana Venkataraman, Janusz Konrad, Prakash Ishwar, Margrit Betke:
Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data. ICCV (Workshops) 2023: 2636-2645 - 2021
- [c2]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:
An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery. PETRA 2021: 556-564 - 2020
- [c1]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:
A machine learning approach for predicting post-stroke aphasia recovery: a pilot study. PETRA 2020: 22:1-22:9
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last updated on 2024-10-07 22:16 CEST by the dblp team
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