Maryam Tavakoli
Maryam Tavakoli
Brigham and Women's Hospital
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Introducing a new intelligent adaptive learning content generation method
E Haghshenas, A Mazaheri, A Gholipour, M Tavakoli, N Zandi, ...
Three levels of information processing: improvement using personality
M Tavakoli, M Palhang, M Kazemifard
Predicting neural deterioration in patients with alzheimer’s disease using a convolutional neural network
HM Tavakoli, T Xie, J Shi, M Hadzikadic, Y Ge
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBMá…, 2020
Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model
M Tavakoli, B Ru, T Xie, M Hadzikadic, QJ Wu, Y Ge
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBMá…, 2019
Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
SP McGrath, ML Benton, M Tavakoli, NP Tatonetti
Yearbook of Medical Informatics 30 (01), 219-225, 2021
Analysis of human trafficking in North Carolina based on criminal records: A framework to measure human trafficking trends
S Gholizadehy, M Phillipsy, MT Hosseinabadi, D Leon, J Rozier
2020 IEEE International Conference on Big Data (Big Data), 1309-1315, 2020
A deep-learning based system for accurate extraction of blood pressure data in clinical narratives
T Xie, Y Zhen, M Tavakoli, G Hundley, Y Ge
AMIA Summits on Translational Science Proceedings 2020, 703, 2020
An Intelligent Method for Customizable Adaptive Learning Content Generation
E Haghshenas, A Mazaheri, A Gholipour, M Tavakoli
International Journal of Information and Communication Technology (IJICT) 3á…, 2011
Generative Design Tool: Integrated Approach toward Development of Piezoelectric Fašade System
AH Zarrabi, M Azarbayjani, M Tavakoli
Fašade Tectonics World Congress 2, 115-123, 2018
Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation
R Horton, MT Hosseinabadi, JM Agosta
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022
Heterogeneous Feature Integration for Regression in Multimodal Healthcare Applications
MT Hosseinabadi
PQDT-Global, 2020
Generating and evaluating simulated medical notes: Getting a Natural Language Generation model to give you what you want
R Horton, MT Hosseinabadi, A Vilcek, WM Pauli, ME Inchiosa
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