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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 15, 2011
Improved image recovery from compressed data contaminated with impulsive noiseDuc-Son Pham, Svetha VenkateshIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 20, 2013
Efficient algorithms for robust recovery of images from compressed dataDuc-Son Pham, Svetha VenkateshIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 11, 2014
Detection of dynamic background due to swaying movements from motion featuresDuc-Son Pham, Ognjen Arandjelović, Svetha VenkateshNPJ Digital Medicine|September 12, 2019
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safetyKit Huckvale, Svetha Venkatesh, Helen ChristensenThe Journal of Physical Chemistry. A|February 13, 2025
Predicting the Electron Density of Charged Systems Using Machine LearningSherif Abdulkader Tawfik, Sunil Gupta, Svetha VenkateshIEEE Journal of Biomedical and Health Informatics|December 4, 2016
$\mathtt {Deepr}$: A Convolutional Net for Medical RecordsPhuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, et al.Journal of Medical Systems|April 13, 2018
Effective Identification of Similar Patients Through Sequential Matching over ICD Code EmbeddingDang Nguyen, Wei Luo, Svetha Venkatesh, et al.IEEE Journal of Biomedical and Health Informatics|March 23, 2017
A Framework for Mixed-Type Multioutcome Prediction With Applications in HealthcareBudhaditya Saha, Sunil Gupta, Dinh Phung, et al.IEEE Journal of Biomedical and Health Informatics|March 24, 2016
A Framework for Classifying Online Mental Health-Related Communities With an Interest in DepressionBudhaditya Saha, Thin Nguyen, Dinh Phung, et al.Journal of Biomedical Informatics|April 16, 2017
Predicting healthcare trajectories from medical records: A deep learning approachTrang Pham, Truyen Tran, Dinh Phung, et al.Pageof 8