Bobak J. Mortazavi

65 papers A* 2A 1B 1C 6Misc 1Journal 28Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-Rays. MICCAI (6) Chenlang Yi, Zizhan Xiong, Qi Qi, Xiyuan Wei, Girish Bathla, Ching-Long Lin, Bobak J. Mortazavi, Tianbao Yang
2025	J	`jnl`	BoXHED2.0: Scalable Boosting of Dynamic Survival Analysis. J. Stat. Softw. Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee
2025	J	`jnl`	Guest Editorial: Deep Medicine and AI for Health. IEEE J. Biomed. Health Informatics María Fernanda Cabrera-Umpiérrez, Tayo Obafemi-Ajayi, Ahmed Metwally, Bobak J. Mortazavi
2025	J	`jnl`	Guest Editorial: Precision Health: AI Tailored to Individuals. IEEE J. Biomed. Health Informatics Edward Sazonov, Bobak J. Mortazavi, Tayo Obafemi-Ajayi, Hassan Ghasemzadeh, María Fernanda Cabrera-Umpiérrez, May Dongmei Wang
2025	J	`jnl`	Guest Editorial: Transforming Healthcare and Medicine With Biomedical Informatics and Emerging AI. IEEE J. Biomed. Health Informatics Bobak J. Mortazavi, Yu-Chiao Chiu, Lei Lu, Arun Das, Georgia D. Tourassi, Bjoern M. Eskofier
2025	C	`conf`	Health-Driven Personalized Metabolic Models of Postprandial Glucose Responses to Mixed Meals. BSN Anurag Das, Ghady Nasrallah, Sicong Huang, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
2025	C	`conf`	The Impact of Protected Variable Integration in Multimodal Pretraining: A Case Study on ECG Waveforms and ECG Notes Pretraining. BSN Zhale Nowroozilarki, Sicong Huang, Sadeer Al-Kindi, Bobak J. Mortazavi
2024	—	`conf`	A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability. BHI Ryan King, Conrad Krueger, Ethan Veselka, Tianbao Yang, Bobak J. Mortazavi
2024	—	`conf`	An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. BHI Ryan King, Shivesh Kodali, Conrad Krueger, Tianbao Yang, Bobak J. Mortazavi
2024	J	`jnl`	An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. CoRR Ryan King, Shivesh Kodali, Conrad Krueger, Tianbao Yang, Bobak J. Mortazavi
2024	J	`jnl`	ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach. CoRR Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi
2024	J	`jnl`	Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. J. Am. Medical Informatics Assoc. Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera
2024	—	`conf`	ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning. EMBC Zhale Nowroozilarki, Sicong Huang, Rohan Khera, Bobak J. Mortazavi
2024	C	`conf`	Macronutrient Constraints and Priors Improve Carbohydrate Predictions from Continuous Glucose Monitors. BSN Anurag Das, Edmund Do, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
2024	—	`conf`	Non-invasive Electrolyte Estimation Using Multi-lead ECG Data via Semi-Supervised Contrastive Learning with an Adaptive Loss. BHI Zhale Nowroozilarki, Sicong Huang, Rohan Khera, Bobak J. Mortazavi
2024	J	`jnl`	Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED. CoRR Arash Pakbin, Aaron Su, Donald K. K. Lee, Bobak J. Mortazavi
2024	J	`jnl`	Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. IEEE J. Biomed. Health Informatics Zhale Nowroozilarki, Bobak J. Mortazavi, Roozbeh Jafari
2023	—	`conf`	ArterialNet: Arterial Blood Pressure Reconstruction. BHI Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi
2023	J	`jnl`	Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. ACM Trans. Comput. Heal. Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi
2023	—	`conf`	Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC Lida Zhang, Rohan Khera, Bobak J. Mortazavi
2023	—	`ed.`	Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. CHIL Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho
2023	J	`jnl`	Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. npj Digit. Medicine 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
2023	C	`conf`	Earlier identification of hypertensive events in a telemonitoring system. BSN Edmund Do, Suhrit Lavu, Hye-Chung Kum, Bobak J. Mortazavi
2023	J	`jnl`	Hypothesis Scoring for Confidence-Aware Blood Pressure Estimation With Particle Filters. IEEE J. Biomed. Health Informatics Jonathan Martinez, Bryant Passage, Bobak J. Mortazavi, Roozbeh Jafari
2023	—	`conf`	Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. BHI Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi
2023	C	`conf`	Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes. BSN Edmund Do, Anurag Das, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi
2023	—	`conf`	Multimodal Pretraining of Medical Time Series and Notes. ML4H@NeurIPS Ryan King, Tianbao Yang, Bobak J. Mortazavi
2023	J	`jnl`	Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. J. Am. Medical Informatics Assoc. Yuntian Liu, Jeph Herrin, Chenxi Huang, Rohan Khera, Lovedeep Singh Dhingra, Weilai Dong, Bobak J. Mortazavi, Harlan M. Krumholz, Yuan Lu
2023	C	`conf`	Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams. BSN Arash Pakbin, Zhale Nowroozilarki, Donald K. K. Lee, Bobak J. Mortazavi
2023	—	`conf`	Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. MLHC Lida Zhang, Bobak J. Mortazavi
2022	J	`jnl`	A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digit. Medicine 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
2022	B	`conf`	Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh
2022	J	`jnl`	Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning. IEEE J. Biomed. Health Informatics Jonathan Martinez, Zhale Nowroozilarki, Roozbeh Jafari, Bobak J. Mortazavi
2022	—	`conf`	Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi
2022	—	`conf`	Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers. BHI Sorush Omidvar, Ali R. Roghanizad, Lucy Chikwetu, Garrett Ash, Jessilyn Dunn, Bobak J. Mortazavi
2022	J	`jnl`	Predicting the meal macronutrient composition from continuous glucose monitors. CoRR Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna
2022	A	`conf`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022	A*	`conf`	VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2021	—	`conf`	A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. BHI Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
2021	J	`jnl`	A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. ACM Trans. Comput. Heal. Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
2021	J	`jnl`	BoXHED 2.0: Scalable boosting of functional data in survival analysis. CoRR Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee
2021	—	`conf`	DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi
2021	—	`conf`	Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi
2021	—	`conf`	Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
2021	—	`conf`	Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. BHI Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi
2021	J	`jnl`	Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. CoRR Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi
2021	A*	`conf`	Self-Damaging Contrastive Learning. ICML Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
2021	—	`conf`	Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi
2021	J	`jnl`	Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics Decis. Mak. Wade L. Schulz, Hobart Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean, Harlan M. Krumholz
2021	Misc	`conf`	Towards The Development of Subject-Independent Inverse Metabolic Models. ICASSP Seyedhooman Sajjadi, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E. Ruebush, Nicolaas E. P. Deutz, Bobak J. Mortazavi
2020	J	`jnl`	BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates. CoRR Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi, Hongyu Zhao, Donald K. K. Lee
2020	J	`jnl`	Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. CoRR Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
2020	—	`conf`	Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. MLHC Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
2020	J	`jnl`	Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. CoRR Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
2020	—	`conf`	Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. EMBC Esha Dutta, Ananya Bothra, Theodora Chaspari, Thomas Ioerger, Bobak J. Mortazavi
2020	J	`jnl`	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017. npj Digit. Medicine Amarnath R. Annapureddy, Suveen Angraal, Cesar Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz
2020	J	`jnl`	Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. IEEE J. Biomed. Health Informatics Ali Akbari, Roger Solis Castilla, Roozbeh Jafari, Bobak J. Mortazavi
2019	J	`jnl`	A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. CoRR Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
2019	—	`conf`	A human-centered wearable sensing platform with intelligent automated data annotation capabilities. IoTDI Roger Solis, Arash Pakbin, Ali Akbari, Bobak J. Mortazavi, Roozbeh Jafari
2019	J	`jnl`	Explainable Prediction of Adverse Outcomes Using Clinical Notes. CoRR Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
2019	—	`conf`	Predicting the meal macronutrient composition from continuous glucose monitors. BHI Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna
2019	—	`conf`	Sparse Embedding for Interpretable Hospital Admission Prediction. EMBC Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
2019	—	`conf`	Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers. ICCPS Ali Akbari, Peiming Liu, Bobak J. Mortazavi, Roozbeh Jafari
2019	J	`jnl`	Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. CoRR Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
2018	—	`conf`	Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. EMBC Niloofar Hezarjaribi, Rabijit Dutta, Tao Xing, Gordon K. Murdoch, Sepideh Mazrouee, Bobak J. Mortazavi, Hassan Ghasemzadeh