Bobak J. Mortazavi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 49

Top Topics

Wearable Devices

Human Activity Recognition

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Zhale Nowroozilarki, Bobak J. Mortazavi, Roozbeh Jafari
Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. J. Am. Medical Informatics Assoc. 31 (4) (2024)
Lida Zhang, Bobak J. Mortazavi
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. MLHC (2023)
Edmund Do, Suhrit Lavu, Hye-Chung Kum, Bobak J. Mortazavi
Earlier identification of hypertensive events in a telemonitoring system. BSN (2023)
Yuntian Liu, Jeph Herrin, Chenxi Huang, Rohan Khera, Lovedeep Singh Dhingra, Weilai Dong, Bobak J. Mortazavi, Harlan M. Krumholz, Yuan Lu
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Arash Pakbin, Zhale Nowroozilarki, Donald K. K. Lee, Bobak J. Mortazavi
Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams. BSN (2023)
Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. ACM Trans. Comput. Heal. 4 (4) (2023)
Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi
ArterialNet: Arterial Blood Pressure Reconstruction. BHI (2023)
Ryan King, Tianbao Yang, Bobak J. Mortazavi
Multimodal Pretraining of Medical Time Series and Notes. ML4H@NeurIPS (2023)
Lida Zhang, Rohan Khera, Bobak J. Mortazavi
Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC (2023)
Jonathan Martinez, Bryant Passage, Bobak J. Mortazavi, Roozbeh Jafari
Hypothesis Scoring for Confidence-Aware Blood Pressure Estimation With Particle Filters. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Edmund Do, Anurag Das, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi
Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes. BSN (2023)
Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. BHI (2023)
Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Bobak J. Mortazavi, Andreas Coppi, Cynthia A. Brandt, Harlan M. Krumholz, Rohan Khera
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. npj Digit. Medicine 6 (2023)
Rohan Khera, Bobak J. Mortazavi, Veer Sangha, Frederick Warner, H. Patrick Young, Joseph S. Ross, Nilay D. Shah, Elitza S. Theel, William G. Jenkinson, Camille Knepper, Karen H. Wang, David Peaper, Richard A. Martinello, Cynthia A. Brandt, Zhenqiu Lin, Albert I. Ko, Harlan M. Krumholz, Benjamin D. Pollock, Wade L. Schulz
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digit. Medicine 5 (2022)
Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS (2022)
Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE (2022)
Sorush Omidvar, Ali R. Roghanizad, Lucy Chikwetu, Garrett Ash, Jessilyn Dunn, Bobak J. Mortazavi
Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers. BHI (2022)
Jonathan Martinez, Zhale Nowroozilarki, Roozbeh Jafari, Bobak J. Mortazavi
Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC (2022)
Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna
Predicting the meal macronutrient composition from continuous glucose monitors. CoRR (2022)
Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML (2022)
Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. ACM Trans. Comput. Heal. 2 (1) (2021)
Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops (2021)
Seyedhooman Sajjadi, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E. Ruebush, Nicolaas E. P. Deutz, Bobak J. Mortazavi
Towards The Development of Subject-Independent Inverse Metabolic Models. ICASSP (2021)
Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. BHI (2021)
Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. BHI (2021)
Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean, Harlan M. Krumholz
Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI (2021)
Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph Ross, Nihar Desai, Nilay Shah, Sanket Dhruva, Bobak J. Mortazavi
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI (2021)
Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee
BoXHED 2.0: Scalable boosting of functional data in survival analysis. CoRR (2021)
Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
Self-Damaging Contrastive Learning. ICML (2021)
Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI (2021)
Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. CoRR (2021)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. CoRR (2020)
Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi, Hongyu Zhao, Donald K. K. Lee
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates. CoRR (2020)
Esha Dutta, Ananya Bothra, Theodora Chaspari, Thomas Ioerger, Bobak J. Mortazavi
Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. EMBC (2020)
Amarnath R. Annapureddy, Suveen Angraal, Cesar Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz
The National Institutes of Health funding for clinical research applying machine learning techniques in 2017. npj Digit. Medicine 3 (2020)
Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. CoRR (2020)
Ali Akbari, Roger Solis Castilla, Roozbeh Jafari, Bobak J. Mortazavi
Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. MLHC (2020)
Ali Akbari, Peiming Liu, Bobak J. Mortazavi, Roozbeh Jafari
Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers. ICCPS (2019)
Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. CoRR (2019)
Roger Solis, Arash Pakbin, Ali Akbari, Bobak J. Mortazavi, Roozbeh Jafari
A human-centered wearable sensing platform with intelligent automated data annotation capabilities. IoTDI (2019)
Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna
Predicting the meal macronutrient composition from continuous glucose monitors. BHI (2019)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Explainable Prediction of Adverse Outcomes Using Clinical Notes. CoRR (2019)
Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
Sparse Embedding for Interpretable Hospital Admission Prediction. EMBC (2019)
Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. CoRR (2019)
Niloofar Hezarjaribi, Rabijit Dutta, Tao Xing, Gordon K. Murdoch, Sepideh Mazrouee, Bobak J. Mortazavi, Hassan Ghasemzadeh
Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. EMBC (2018)