PERSONNEL

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Ghada Zamzmi Alzamzmi, PhD

Computational Health Research Branch

Contact Information
Building 38A - Lister Hill Center, 10S1011G
301.827.7573
ghadazamzmi.alzamzmi@nih.gov



Publications:

Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions. IEEE Reviews in Biomedical Engineering, doi: 10.1109/RBME.2020.2988295

Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113144G (16 March 2020); https://doi.org/10.1117/12.2551183

Alzamzmi GA, Hsu L, Li W, Sachdev V, Antani SK Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1744-1749, doi: 10.1109/ICMLA.2019.00283

Alzamzmi GA, Rajaraman S, Antani SK Unified Representation Learning for Efficient Medical Image Analysis. arXiv:2006.11223 [cs.CV] Under Review

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