Rabab Ward

Affiliations: 
University of British Columbia, Vancouver, Vancouver, BC, Canada 
Area:
Computer Science
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"Rabab Ward"

Children

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Ismaeil R. Ismaeil grad student 2000 UBC
Shahram Shirani grad student 2000 UBC
Parvin Mousavi grad student 2001 UBC
Ali Arya grad student 2004 UBC
Mehran Azimi grad student 2004 UBC
Alireza Nasiri Avanaki grad student 2004 UBC
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Publications

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Elgendi M, Nasir MU, Tang Q, et al. (2020) The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias. Frontiers in Medicine. 7: 550
Chen X, Cheng J, Song R, et al. (2019) Video-Based Heart Rate Measurement: Recent Advances and Future Prospects Ieee Transactions On Instrumentation and Measurement. 68: 3600-3615
Awad Abdellatif A, Emam A, Chiasserini C, et al. (2019) Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation Expert Systems With Applications. 117: 1-14
Lin J, Zhao L, Li S, et al. (2018) Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 4048-4062
Elgendi M, Mohamed A, Ward R. (2017) Efficient ECG Compression and QRS Detection for E-Health Applications. Scientific Reports. 7: 459
Palangi H, Ward R, Deng L. (2017) Convolutional Deep Stacking Networks for distributed compressive sensing Signal Processing. 131: 181-189
Majumdar A, Gogna A, Ward R. (2016) Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. Ieee Transactions On Bio-Medical Engineering
Karimi D, Ward R. (2016) Reducing streak artifacts in computed tomography via sparse representation in coupled dictionaries. Medical Physics. 43: 1473
Karimi D, Ward R. (2016) A denoising algorithm for projection measurements in cone-beam computed tomography. Computers in Biology and Medicine. 69: 71-82
Palangi H, Ward R, Deng L. (2016) Distributed Compressive Sensing: A Deep Learning Approach Ieee Transactions On Signal Processing. 64: 4504-4518
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