Betke, Margrit

A Graph-Transformer for Whole Slide Image Classification

Zheng, Y., Gindra, R. H., Green, E. J., Burks, E. J., Betke, M., Beane, J. E., & Kolachalama, V. B. (2022) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 255

Communication via eye blinks and eyebrow raises: video-based human-computer interfaces

Grauman, K., Betke, M., Lombardi, J., Gips, J., & Bradski, G. R. (2003) · Universal Access in the Information Society

Gaze Tracking and Assistive TechnologyEEG and Brain-Computer Interfaces

Cited by 185

How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms

Gurari, D., Theriault, D., Sameki, M., Isenberg, B., Pham, T. A., Purwada, A., Solski, P., Walker, M., Zhang, C., Wong, J. Y., et al. (2015) · 2015 IEEE Winter Conference on Applications of Computer Vision

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 68

Multimodal neural and behavioral data predict response to rehabilitation in chronic Poststroke aphasia

Billot, A., Lai, S., Varkanitsa, M., Braun, E. J., Rapp, B., Parrish, T. B., Higgins, J., Kurani, A. S., Caplan, D., Thompson, C. K., et al. (2022) · Stroke

Neurobiology of Language and BilingualismStroke Rehabilitation and Recovery

Cited by 47

Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival

Zheng, Y., Conrad, R. D., Green, E. J., Burks, E. J., Betke, M., Beane, J. E., & Kolachalama, V. B. (2024) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 44

Aphasia severity prediction using a multi-modal machine learning approach

Hu, X., Varkanitsa, M., Kropp, E., Betke, M., Ishwar, P., & Kiran, S. (2025) · NeuroImage

Neurobiology of Language and BilingualismFunctional Brain Connectivity Studies

Cited by 8