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ORCIDBobak Mortazavi
Bobak J. Mortazavi – Bobak Jack Mortazavi
Person information
- affiliation: Texas A&M University, USA
- affiliation (former): University of California, Los Angeles, USA
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2020 – today
- 2026
[j31]Hye-Chung Kum
, Carl W. Tong, Suhu Lavu, Julian L. Beaulieu, Michelle A. Hayek, Mark A. Lawley, Madhav Erraguntla, Ed. Stonebraker, Bobak Jack Mortazavi:
Decision support systems (DSS) for predicting hypertensive events using real-world telemonitoring data. Int. J. Medical Informatics 215: 106387 (2026)- [j30]Phyllis M. Thangaraj, Sumukh Vasisht Shankar, Sicong Huang, Girish N. Nadkarni, Bobak J. Mortazavi, Evangelos K. Oikonomou, Rohan Khera:
A novel digital twin strategy to examine the implications of randomized clinical trials for real-world populations. npj Digit. Medicine 9(1) (2026) - [i24]Ryan King, Conrad Krueger, Ethan Veselka, Tianbao Yang, Bobak J. Mortazavi:
A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability. CoRR abs/2605.03832 (2026) - [i23]Ryan King, Gang Li, Bobak Mortazavi, Tianbao Yang:
Memory-Efficient Continual Learning with CLIP Models. CoRR abs/2605.03866 (2026) - 2025
- [j29]Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee:
BoXHED2.0: Scalable Boosting of Dynamic Survival Analysis. J. Stat. Softw. 113(3) (2025) - [j28]María Fernanda Cabrera-Umpiérrez, Tayo Obafemi-Ajayi, Ahmed Metwally, Bobak J. Mortazavi:
Guest Editorial: Deep Medicine and AI for Health. IEEE J. Biomed. Health Informatics 29(2): 737-740 (2025) - [j27]Bobak J. Mortazavi, Yu-Chiao Chiu, Lei Lu, Arun Das, Georgia D. Tourassi, Bjoern M. Eskofier:
Guest Editorial: Transforming Healthcare and Medicine With Biomedical Informatics and Emerging AI. IEEE J. Biomed. Health Informatics 29(9): 6128-6131 (2025) - [j26]Edward Sazonov, Bobak J. Mortazavi, Tayo Obafemi-Ajayi, Hassan Ghasemzadeh, María Fernanda Cabrera-Umpiérrez, May Dongmei Wang:
Guest Editorial: Precision Health: AI Tailored to Individuals. IEEE J. Biomed. Health Informatics 29(12): 8588-8590 (2025) - [c67]Anurag Das, Ghady Nasrallah, Sicong Huang, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Health-Driven Personalized Metabolic Models of Postprandial Glucose Responses to Mixed Meals. BSN 2025: 1-4 - [c66]Zhale Nowroozilarki, Sicong Huang, Sadeer Al-Kindi, Bobak J. Mortazavi:
The Impact of Protected Variable Integration in Multimodal Pretraining: A Case Study on ECG Waveforms and ECG Notes Pretraining. BSN 2025: 1-4 - [c65]Chenlang Yi, Zizhan Xiong, Qi Qi, Xiyuan Wei, Girish Bathla, Ching-Long Lin, Bobak J. Mortazavi, Tianbao Yang:
AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-Rays. MICCAI (6) 2025: 13-23 - [i22]Chenlang Yi, Zizhan Xiong, Qi Qi, Xiyuan Wei, Girish Bathla, Ching-Long Lin, Bobak Jack Mortazavi, Tianbao Yang:
AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays. CoRR abs/2506.23467 (2025) - 2024
- [j25]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): 855-865 (2024) - [j24]Zhale Nowroozilarki, Bobak J. Mortazavi, Roozbeh Jafari:
Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. IEEE J. Biomed. Health Informatics 28(1): 169-180 (2024) - [c64]Ryan King, Shivesh Kodali, Conrad Krueger, Tianbao Yang, Bobak J. Mortazavi:
An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. BHI 2024: 1-8 - [c63]Ryan King, Conrad Krueger, Ethan Veselka, Tianbao Yang, Bobak J. Mortazavi:
A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability. BHI 2024: 1-8 - [c62]Zhale Nowroozilarki, Sicong Huang, Rohan Khera, Bobak J. Mortazavi:
Non-invasive Electrolyte Estimation Using Multi-lead ECG Data via Semi-Supervised Contrastive Learning with an Adaptive Loss. BHI 2024: 1-8 - [c61]Anurag Das, Edmund Do, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Macronutrient Constraints and Priors Improve Carbohydrate Predictions from Continuous Glucose Monitors. BSN 2024: 1-4 - [c60]Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael C. Hughes, Elena Sizikova, Bobak Mortazavi, Irene Y. Chen, Fei Wang, Tasmie Sarker, Matthew B. A. McDermott, Marzyeh Ghassemi:
Conference on Health, Inference, and Learning (CHIL) 2024. CHIL 2024: 1-6 - [c59]Zhale Nowroozilarki, Sicong Huang, Rohan Khera, Bobak J. Mortazavi:
ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning. EMBC 2024: 1-4 - [e2]Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi:
Conference on Health, Inference, and Learning, New York, NY, USA, 27-28 June 2024. Proceedings of Machine Learning Research 248, PMLR 2024 [contents] - [i21]Arash Pakbin, Aaron Su, Donald K. K. Lee, Bobak J. Mortazavi:
Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED. CoRR abs/2410.03725 (2024) - [i20]Ryan King, Shivesh Kodali, Conrad Krueger, Tianbao Yang, Bobak J. Mortazavi:
An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. CoRR abs/2410.09199 (2024) - [i19]Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi:
ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach. CoRR abs/2410.18895 (2024) - 2023
- [j23]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): 21:1-21:18 (2023) - [j22]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): 943-952 (2023) - [j21]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) - [j20]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): 4273-4284 (2023) - [c58]Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi:
ArterialNet: Arterial Blood Pressure Reconstruction. BHI 2023: 1-4 - [c57]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: 1-4 - [c56]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: 1-4 - [c55]Edmund Do, Suhrit Lavu, Hye-Chung Kum, Bobak J. Mortazavi:
Earlier identification of hypertensive events in a telemonitoring system. BSN 2023: 1-4 - [c54]Arash Pakbin, Zhale Nowroozilarki, Donald K. K. Lee, Bobak J. Mortazavi:
Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams. BSN 2023: 1-4 - [c53]Lida Zhang, Rohan Khera, Bobak J. Mortazavi:
Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC 2023: 1-4 - [c52]Ryan King, Tianbao Yang, Bobak J. Mortazavi:
Multimodal Pretraining of Medical Time Series and Notes. ML4H@NeurIPS 2023: 244-255 - [c51]Lida Zhang, Bobak J. Mortazavi:
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. MLHC 2023: 923-941 - [e1]Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho:
Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. Proceedings of Machine Learning Research 209, PMLR 2023 [contents] - [i18]Ryan King, Tianbao Yang, Bobak Mortazavi:
Multimodal Pretraining of Medical Time Series and Notes. CoRR abs/2312.06855 (2023) - 2022
- [j19]Rohan Khera, Bobak J. Mortazavi, Veer Sangha, Frederick Warner, Hobart 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) - [j18]Anurag Das, Bobak Mortazavi, Seyedhooman Sajjadi, Theodora Chaspari, Laura E. Ruebush, Nicolaas E. P. Deutz, Gerard L. Coté, Ricardo Gutierrez-Osuna:
Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. IEEE J. Biomed. Health Informatics 26(6): 2726-2736 (2022) - [j17]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): 5482-5493 (2022) - [c50]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: 1359-1379 - [c49]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: 1-4 - [c48]Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh:
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE 2022: 91-98 - [c47]Anurag Das, Bobak Mortazavi, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
Modeling Individual Differences in Food Metabolism through Alternating Least Squares. EMBC 2022: 2988-2992 - [c46]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP 2022: 3988-3992 - [c45]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: 865-877 - [c44]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC 2022: 101-122 - [c43]Chen Liang, Bobak Mortazavi:
Evaluating Short Animation Videos in Asynchronous Teaching. SIGCSE (2) 2022: 1160 - [i17]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR abs/2204.00130 (2022) - [i16]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 abs/2206.11878 (2022) - [i15]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. CoRR abs/2207.11382 (2022) - [i14]Gregory Holste, Evangelos K. Oikonomou, Bobak Mortazavi, Zhangyang Wang, Rohan Khera:
Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. CoRR abs/2207.11581 (2022) - [i13]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness. CoRR abs/2209.15415 (2022) - 2021
- [j16]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): 9:1-9:42 (2021) - [j15]Wade L. Schulz, Hobart 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): 61 (2021) - [c42]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: 1-4 - [c41]Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi:
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI 2021: 1-4 - [c40]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: 1-4 - [c39]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: 1-5 - [c38]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: 1-4 - [c37]Anurag Das, Seyedhooman Sajjadi, Bobak Mortazavi, Theodora Chaspari, Projna Paromita, Laura Ruebush, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. ICASSP 2021: 2900-2904 - [c36]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: 3970-3974 - [c35]Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. ICML 2021: 4927-4939 - [c34]Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops 2021 - [c33]Donald K. K. Lee, Ningyuan Chen, Hemant Ishwaran, Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao:
Theory and software for boosted nonparametric hazard estimation. SPACA 2021: 149-158 - [i12]Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee:
BoXHED 2.0: Scalable boosting of functional data in survival analysis. CoRR abs/2103.12591 (2021) - [i11]Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. CoRR abs/2106.02990 (2021) - [i10]Ryan King, Bobak Mortazavi:
Growing Representation Learning. CoRR abs/2110.08857 (2021) - [i9]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 abs/2110.08949 (2021) - 2020
- [j14]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) - [j13]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): 2639-2650 (2020) - [c32]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS 2020: 3894-3904 - [c31]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: 5553-5556 - [c30]Justin R. Lovelace, Bobak Mortazavi:
Learning to Generate Clinically Coherent Chest X-Ray Reports. EMNLP (Findings) 2020: 1235-1243 - [c29]Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao, Donald K. K. Lee:
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates. ICML 2020: 9973-9982 - [c28]Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang:
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR 2020: 10608-10615 - [c27]Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. MLHC 2020: 97-120 - [c26]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: 245-270 - [i8]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR abs/2003.01753 (2020) - [i7]Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi, Hongyu Zhao, Donald K. K. Lee:
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates. CoRR abs/2006.14218 (2020) - [i6]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 abs/2007.12802 (2020) - [i5]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 abs/2008.01197 (2020)
2010 – 2019
- 2019
- [c25]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS 2019: 266-275 - [c24]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: 1-4 - [c23]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: 3438-3441 - [c22]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: 174-184 - [c21]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: 255-260 - [i4]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. CoRR abs/1901.02427 (2019) - [i3]Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi:
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. CoRR abs/1907.11039 (2019) - [i2]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 abs/1908.06170 (2019) - [i1]Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi:
Explainable Prediction of Adverse Outcomes Using Clinical Notes. CoRR abs/1910.14095 (2019) - 2018
- [j12]Viswam Nathan, Sudip Paul, Temiloluwa Prioleau, Li Niu, Bobak Jack Mortazavi, Stephen A. Cambone, Ashok Veeraraghavan, Ashutosh Sabharwal, Roozbeh Jafari:
A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly. IEEE Signal Process. Mag. 35(5): 111-119 (2018) - [c20]Niraj Goel, Theodora Chaspari, Bobak Jack Mortazavi, Temiloluwa Prioleau, Ashutosh Sabharwal, Ricardo Gutierrez-Osuna:
Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals. EMBC 2018: 191-194 - [c19]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: 1160-1163 - [c18]Arash Pakbin, Parvez Rafi, Nate Hurley, Wade L. Schulz, Harlan M. Krumholz, Bobak Jack Mortazavi:
Prediction of ICU Readmissions Using Data at Patient Discharge. EMBC 2018: 4932-4935 - 2017
- [j11]Haik Kalantarian, Costas Sideris, Bobak Mortazavi, Nabil Alshurafa, Majid Sarrafzadeh:
Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems. IEEE Trans. Biomed. Eng. 64(3): 621-628 (2017) - [j10]Bobak Mortazavi, Nihar Desai, Jing Zhang, Andreas Coppi, Fred Warner, Harlan M. Krumholz, Sahand Negahban:
Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. IEEE J. Biomed. Health Informatics 21(6): 1719-1729 (2017) - 2016
- [j9]Haik Kalantarian, Bobak Mortazavi, Mohammad Pourhomayoun, Nabil Alshurafa, Majid Sarrafzadeh:
Probabilistic segmentation of time-series audio signals using Support Vector Machines. Microprocess. Microsystems 46: 96-104 (2016) - [j8]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Sunghoon Ivan Lee, Suneil Nyamathi, Brandon Wu, Majid Sarrafzadeh:
User-optimized activity recognition for exergaming. Pervasive Mob. Comput. 26: 3-16 (2016) - [j7]Jonathan Woodbridge, Bobak Mortazavi, Alex A. T. Bui, Majid Sarrafzadeh:
Improving biomedical signal search results in big data case-based reasoning environments. Pervasive Mob. Comput. 28: 69-80 (2016) - [j6]Sunghoon Ivan Lee, Bobak Mortazavi, Haydn A. Hoffman, Derek S. Lu, Charles Li, Brian H. Paak, Jordan H. Garst, Mehrdad Razaghy, Marie Espinal, Eunjeong Park, Daniel C. Lu, Majid Sarrafzadeh:
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression. IEEE J. Biomed. Health Informatics 20(1): 91-99 (2016) - 2015
- [j5]Bobak Mortazavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Roozbeh Jafari, Christian K. Roberts, Majid Sarrafzadeh:
Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. IEEE Internet Things J. 2(1): 84-93 (2015) - [j4]Bobak Mortazavi, Ebrahim Nemati, Kristina VanderWall, Hector G. Flores-Rodriguez, Jun Yu Jacinta Cai, Jessica Lucier, Arash Naeim, Majid Sarrafzadeh:
Can Smartwatches Replace Smartphones for Posture Tracking? Sensors 15(10): 26783-26800 (2015) - [c17]Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. BSN 2015: 1-6 - [c16]Bobak Mortazavi, Mohammad Pourhomayoun, Suneil Nyamathi, Brandon Wu, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Multiple model recognition for near-realistic exergaming. PerCom 2015: 140-148 - 2014
- [b1]Bobak Jack Mortazavi:
Realistic-Motion Activity Recognition. University of California, Los Angeles, USA, 2014 - [j3]Bobak Mortazavi, Suneil Nyamathi, Sunghoon Ivan Lee, Thomas Wilkerson, Hassan Ghasemzadeh, Majid Sarrafzadeh:
Near-Realistic Mobile Exergames With Wireless Wearable Sensors. IEEE J. Biomed. Health Informatics 18(2): 449-456 (2014) - [j2]Nabil Alshurafa, Wenyao Xu, Jason J. Liu, Ming-Chun Huang, Bobak Mortazavi, Christian K. Roberts, Majid Sarrafzadeh:
Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors. IEEE J. Biomed. Health Informatics 18(5): 1636-1646 (2014) - [c15]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Gabriel Alsheikh, Nabil Alshurafa, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches. BSN 2014: 33-38 - [c14]Nabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, Suneil Nyamathi, Lily Bao, Bobak Mortazavi, Majid Sarrafzadeh:
Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors. BSN 2014: 92-97 - [c13]Bobak Mortazavi, Sunghoon Ivan Lee, Majid Sarrafzadeh:
User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach. UbiComp Adjunct 2014: 1233-1240 - 2013
- [j1]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Majid Sarrafzadeh:
A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. IEEE J. Biomed. Health Informatics 17(6): 1023-1030 (2013) - [c12]Nabil Alshurafa, Wenyao Xu, Jason J. Liu, Ming-Chun Huang, Bobak Mortazavi, Majid Sarrafzadeh, Christian K. Roberts:
Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors. BSN 2013: 1-6 - [c11]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Andrew Yew, Ruth Getachew, Mehrdad Razaghy, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Marie Espinal, Jon Kimball, Daniel C. Lu, Majid Sarrafzadeh:
Objective assessment of overexcited hand movements using a lightweight sensory device. BSN 2013: 1-6 - [c10]Maryam Moazeni, Bobak Mortazavi, Majid Sarrafzadeh:
Multi-dimensional signal search with applications in remote medical monitoring. BSN 2013: 1-6 - [c9]Maryam Moazeni, Bobak Mortazavi, Majid Sarrafzadeh:
Multi-dimensional signal search with applications in remote medical monitoring. BSN 2013: 1-6 - [c8]Bobak Mortazavi, Nabil Alshurafa, Sunghoon Ivan Lee, Mars Lan, Majid Sarrafzadeh, Michael Chronley, Christian K. Roberts:
MET calculations from on-body accelerometers for exergaming movements. BSN 2013: 1-6 - [c7]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Mortazavi, Mars Lan, Nabil Alshurafa, Michael K. Ong, Majid Sarrafzadeh:
Remote patient monitoring: what impact can data analytics have on cost? Wireless Health 2013: 4:1-4:8 - 2012
- [c6]Jonathan Woodbridge, Bobak Mortazavi, Majid Sarrafzadeh, Alex A. T. Bui:
A Monte Carlo approach to biomedicai time series search. BIBM 2012: 1-6 - [c5]Bobak Mortazavi, Kin Chung Chu, Xialong Li, Jessica Tai, Shwetha Kotekar, Majid Sarrafzadeh:
Near-Realistic Motion Video Games with Enforced Activity. BSN 2012: 28-33 - [c4]Jonathan Woodbridge, Bobak Mortazavi, Alex A. T. Bui, Majid Sarrafzadeh:
High performance biomedical time series indexes using salient segmentation. EMBC 2012: 5086-5089 - [c3]Myung-kyung Suh, Jonathan Woodbridge, Tannaz Moin, Mars Lan, Nabil Alshurafa, Lauren Samy, Bobak Mortazavi, Hassan Ghasemzadeh, Alex A. T. Bui, Sheila Ahmadi, Majid Sarrafzadeh:
Dynamic Task Optimization in Remote Diabetes Monitoring Systems. HISB 2012: 3-11 - [c2]Jonathan Woodbridge, Bobak Mortazavi, Majid Sarrafzadeh, Alex A. T. Bui:
Aggregated Indexing of Biomedical Time Series Data. HISB 2012: 23-30 - 2011
- [c1]Bobak Mortazavi, Hagop Hagopian, Jonathan Woodbridge, Behrooz Yadegar, Majid Sarrafzadeh:
A Wireless Body-wearable Sensor System for Designing Physically Interactive Video Games. BIODEVICES 2011: 62-69
Coauthor Index
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