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Taima Crean

Taima Crean is a Biomedical Engineering undergraduate student at the University of Texas at Austin. She is from the Bay Area, CA and Washington, DC. She is the President and co-founder of Longhorn Neurotech, a student org dedicated to expanding undergraduate access to brain-computer interfacing research through EEG-based BCI competitions. Her research interests are in applications of deep learning for medical image analysis and diagnosis, particularly in neuroimaging.

In the DMIC lab, she works on machine learning based segmentation and image analysis pipelines to optimize lung cancer treatment. She is also working to develop quantitative metrics to optimize ADHD diagnosis and treatment.

creantaima@gmail.com

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The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

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