Maryam Panahiazar
Affiliations:- University of California, San Francisco, School of Medicine, CA, USA
- University of California, Berkeley, CA, USA
- Stanford University, School of Medicine, CA, USA
According to our database1,
Maryam Panahiazar
authored at least 27 papers
between 2011 and 2022.
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Bibliography
2022
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework.
CoRR, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Data Analytics of Electronic Medical Record to Study Racial Diversities in Cardiovascular Diagnosis and Treatment.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
Expert Syst. Appl., 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.
Comput. Biol. Medicine, 2021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
Comput. Biol. Medicine, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 2020
2019
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning.
J. Digit. Imaging, 2019
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers.
J. Digit. Imaging, 2019
2018
Informatics, 2018
2017
J. Biomed. Informatics, 2017
Proceedings of the AMIA 2017, 2017
2016
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.
J. Biomed. Informatics, 2016
Database J. Biol. Databases Curation, 2016
2015
Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics.
Proceedings of the Digital Healthcare Empowering Europeans, 2015
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
2014
Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Proceedings of the Handbook of Service Description - USDL and Its Methods, 2012
2011
Proceedings of the World Congress on Services, 2011
Kino: A Generic Document Management System for Biologists Using SA-REST and Faceted Search.
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011
Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker.
Proceedings of the 2nd International Conference on Biomedical Ontology, 2011