A Wireless Body-wearable Sensor System for Designing Physically Interactive Video Games. - Bobak Mortazavi; Hagop Hagopian; Jonathan Woodbridge; Behrooz Yadegar; Majid Sarrafzadeh (BIODEVICES, 2011)

A Monte Carlo approach to biomedicai time series search. - Jonathan Woodbridge; Bobak Mortazavi; Majid Sarrafzadeh; Alex A. T. Bui (BIBM, 2012)

Near-Realistic Motion Video Games with Enforced Activity. - Bobak Mortazavi; Kin Chung Chu; Xialong Li; Jessica Tai; Shwetha Kotekar; Majid Sarrafzadeh (BSN, 2012)

High performance biomedical time series indexes using salient segmentation. - Jonathan Woodbridge; Bobak Mortazavi; Alex A. T. Bui; Majid Sarrafzadeh (EMBC, 2012)

Dynamic Task Optimization in Remote Diabetes Monitoring Systems. - Myung-kyung Suh; Jonathan Woodbridge; Tannaz Moin; Mars Lan; Nabil Alshurafa; Lauren Samy; Bobak Mortazavi; Hassan Ghasemzadeh 001; Alex A. T. Bui; Sheila Ahmadi; Majid Sarrafzadeh (HISB, 2012)

Aggregated Indexing of Biomedical Time Series Data. - Jonathan Woodbridge; Bobak Mortazavi; Majid Sarrafzadeh; Alex A. T. Bui (HISB, 2012)

Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors. - Nabil Alshurafa; Wenyao Xu; Jason J. Liu; Ming-Chun Huang; Bobak Mortazavi; Majid Sarrafzadeh; Christian K. Roberts (BSN, 2013)

Objective assessment of overexcited hand movements using a lightweight sensory device. - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Jack Mortazavi; Andrew Yew; Ruth Getachew; Mehrdad Razaghy; Nima Ghalehsari; Brian H. Paak; Jordan H. Garst; Marie Espinal; Jon Kimball; Daniel C. Lu; et al. (BSN, 2013)

Multi-dimensional signal search with applications in remote medical monitoring. - Maryam Moazeni; Bobak Mortazavi; Majid Sarrafzadeh (BSN, 2013)

MET calculations from on-body accelerometers for exergaming movements. - Bobak Mortazavi; Nabil Alshurafa; Sunghoon Ivan Lee; Mars Lan; Majid Sarrafzadeh; Michael Chronley; Christian K. Roberts (BSN, 2013)

Remote patient monitoring: what impact can data analytics have on cost? - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Mortazavi; Mars Lan; Nabil Alshurafa; Michael K. Ong; Majid Sarrafzadeh (Wireless Health, 2013)

A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Jack Mortazavi; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2013)

Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors. - Nabil Alshurafa; Jo-Ann Eastwood; Mohammad Pourhomayoun; Suneil Nyamathi; Lily Bao; Bobak Mortazavi; Majid Sarrafzadeh (BSN, 2014)

Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches. - Bobak Jack Mortazavi; Mohammad Pourhomayoun; Gabriel Alsheikh; Nabil Alshurafa; Sunghoon Ivan Lee; Majid Sarrafzadeh (BSN, 2014)

User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach. - Bobak Mortazavi; Sunghoon Ivan Lee; Majid Sarrafzadeh (UbiComp Adjunct, 2014)

Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors. - Nabil Alshurafa; Wenyao Xu; Jason J. Liu; Ming-Chun Huang; Bobak Mortazavi; Christian K. Roberts; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2014)

Near-Realistic Mobile Exergames With Wireless Wearable Sensors. - Bobak Mortazavi; Suneil Nyamathi; Sunghoon Ivan Lee; Thomas Wilkerson; Hassan Ghasemzadeh 001; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2014)

Realistic-Motion Activity Recognition. - Bobak Jack Mortazavi (2014)

Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. - Parastoo Alinia; Ramyar Saeedi; Bobak Mortazavi; Seyed Ali Rokni; Hassan Ghasemzadeh 001 (BSN, 2015)

Multiple model recognition for near-realistic exergaming. - Bobak Mortazavi; Mohammad Pourhomayoun; Suneil Nyamathi; Brandon Wu; Sunghoon Ivan Lee; Majid Sarrafzadeh (PerCom, 2015)

Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. - Bobak Mortazavi; Mohammad Pourhomayoun; Hassan Ghasemzadeh 001; Roozbeh Jafari; Christian K. Roberts; Majid Sarrafzadeh (IEEE Internet Things J., 2015)

Can Smartwatches Replace Smartphones for Posture Tracking? - Bobak Mortazavi; Ebrahim Nemati; Kristina VanderWall; Hector G. Flores-Rodriguez; Jun Yu Jacinta Cai; Jessica Lucier; Arash Naeim; Majid Sarrafzadeh (Sensors, 2015)

Probabilistic segmentation of time-series audio signals using Support Vector Machines. - Haik Kalantarian; Bobak Mortazavi; Mohammad Pourhomayoun; Nabil Alshurafa; Majid Sarrafzadeh (Microprocess. Microsystems, 2016)

User-optimized activity recognition for exergaming. - Bobak Jack Mortazavi; Mohammad Pourhomayoun; Sunghoon Ivan Lee; Suneil Nyamathi; Brandon Wu; Majid Sarrafzadeh (Pervasive Mob. Comput., 2016)

Improving biomedical signal search results in big data case-based reasoning environments. - Jonathan Woodbridge; Bobak Mortazavi; Alex A. T. Bui; Majid Sarrafzadeh (Pervasive Mob. Comput., 2016)

A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression. - 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 (IEEE J. Biomed. Health Informatics, 2016)

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems. - Haik Kalantarian; Costas Sideris; Bobak Mortazavi; Nabil Alshurafa; Majid Sarrafzadeh (IEEE Trans. Biomed. Eng., 2017)

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. - Bobak Mortazavi; Nihar Desai; Jing Zhang; Andreas Coppi; Fred Warner; Harlan M. Krumholz; Sahand Negahban (IEEE J. Biomed. Health Informatics, 2017)

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals. - Niraj Goel; Theodora Chaspari; Bobak Jack Mortazavi; Temiloluwa Prioleau; Ashutosh Sabharwal; Ricardo Gutierrez-Osuna (EMBC, 2018)

Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. - Niloofar Hezarjaribi; Rabijit Dutta; Tao Xing; Gordon K. Murdoch; Sepideh Mazrouee; Bobak J. Mortazavi; Hassan Ghasemzadeh 001 (EMBC, 2018)

Prediction of ICU Readmissions Using Data at Patient Discharge. - Arash Pakbin; Parvez Rafi; Nate Hurley; Wade L. Schulz; Harlan M. Krumholz; Bobak Jack Mortazavi (EMBC, 2018)

A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly. - Viswam Nathan; Sudip Paul; Temiloluwa Prioleau; Li Niu 002; Bobak Jack Mortazavi; Stephen A. Cambone; Ashok Veeraraghavan; Ashutosh Sabharwal; Roozbeh Jafari (IEEE Signal Process. Mag., 2018)

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. - Randy Ardywibowo; Guang Zhao; Zhangyang Wang; Bobak Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2019)

Predicting the meal macronutrient composition from continuous glucose monitors. - Zepeng Huo; Bobak J. Mortazavi; Theodora Chaspari; Nicolaas E. P. Deutz; Laura Ruebush; Ricardo Gutierrez-Osuna (BHI, 2019)

Sparse Embedding for Interpretable Hospital Admission Prediction. - Zepeng Huo; Harinath Sundararajhan; Nathan C. Hurley; Adrian D. Haimovich; R. Andrew Taylor; Bobak J. Mortazavi (EMBC, 2019)

Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers. - Ali Akbari; Peiming Liu; Bobak J. Mortazavi; Roozbeh Jafari (ICCPS, 2019)

A human-centered wearable sensing platform with intelligent automated data annotation capabilities. - Roger Solis; Arash Pakbin; Ali Akbari; Bobak J. Mortazavi; Roozbeh Jafari (IoTDI, 2019)

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. - Nathan C. Hurley; Adrian D. Haimovich; R. Andrew Taylor; Bobak J. Mortazavi (CoRR, 2019)

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. - Nathan C. Hurley; Erica S. Spatz; Harlan M. Krumholz; Roozbeh Jafari; Bobak J. Mortazavi (CoRR, 2019)

Explainable Prediction of Adverse Outcomes Using Clinical Notes. - Justin R. Lovelace; Nathan C. Hurley; Adrian D. Haimovich; Bobak J. Mortazavi (CoRR, 2019)

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Zepeng Huo; Arash Pakbin; Xiaohan Chen; Nathan C. Hurley; Ye Yuan 012; Xiaoning Qian; Zhangyang Wang; Shuai Huang 001; Bobak Mortazavi (AISTATS, 2020)

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. - Esha Dutta; Ananya Bothra; Theodora Chaspari; Thomas Ioerger; Bobak J. Mortazavi (EMBC, 2020)

Learning to Generate Clinically Coherent Chest X-Ray Reports. - Justin R. Lovelace; Bobak Mortazavi (EMNLP (Findings), 2020)

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates. - Xiaochen Wang; Arash Pakbin; Bobak Mortazavi; Hongyu Zhao; Donald K. K. Lee (ICML, 2020)

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. - Ameer Hamza Shakur; Xiaoning Qian; Zhangyang Wang; Bobak Mortazavi; Shuai Huang 001 (ICPR, 2020)

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. - Justin R. Lovelace; Nathan C. Hurley; Adrian D. Haimovich; Bobak J. Mortazavi (MLHC, 2020)

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. - Lida Zhang; Nathan C. Hurley; Bassem Ibrahim; Erica S. Spatz; Harlan M. Krumholz; Roozbeh Jafari; Bobak Jack Mortazavi (MLHC, 2020)

The National Institutes of Health funding for clinical research applying machine learning techniques in 2017. - Amarnath R. Annapureddy; Suveen Angraal; Cesar Caraballo; Alyssa Grimshaw; Chenxi Huang; Bobak J. Mortazavi; Harlan M. Krumholz (npj Digit. Medicine, 2020)

Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments. - Ali Akbari; Roger Solis Castilla; Roozbeh Jafari; Bobak J. Mortazavi (IEEE J. Biomed. Health Informatics, 2020)

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. - Zepeng Huo; Lida Zhang; Rohan Khera; Shuai Huang 001; Xiaoning Qian; Zhangyang Wang; Bobak J. Mortazavi (BHI, 2021)

Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. - Nathan C. Hurley; Alyssa Berkowitz; Frederick Masoudi; Joseph S. Ross; Nihar Desai; Nilay Shah; Sanket S. Dhruva; Bobak J. Mortazavi (BHI, 2021)

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. - Zhale Nowroozilarki; Arash Pakbin; James Royalty; Donald K. K. Lee; Bobak J. Mortazavi (BHI, 2021)

A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. - Michael Yang; Projna Paromita; Theodora Chaspari; Anurag Das; Seyedhooman Sajjadi; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (BHI, 2021)

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. - Lida Zhang; Xiaohan Chen; Tianlong Chen 001; Zhangyang Wang; Bobak J. Mortazavi (BHI, 2021)

A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. - Anurag Das; Seyedhooman Sajjadi; Bobak Mortazavi; Theodora Chaspari; Projna Paromita; Laura Ruebush; Nicolaas E. P. Deutz; Ricardo Gutierrez-Osuna (ICASSP, 2021)

Towards The Development of Subject-Independent Inverse Metabolic Models. - Seyedhooman Sajjadi; Anurag Das; Ricardo Gutierrez-Osuna; Theodora Chaspari; Projna Paromita; Laura E. Ruebush; Nicolaas E. P. Deutz; Bobak J. Mortazavi (ICASSP, 2021)

Self-Damaging Contrastive Learning. - Ziyu Jiang; Tianlong Chen 001; Bobak J. Mortazavi; Zhangyang Wang (ICML, 2021)

Personalized Meal Classification Using Continuous Glucose Monitors. - Projna Paromita; Theodora Chaspari; Seyedhooman Sajjadi; Anurag Das; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (IUI Workshops, 2021)

Theory and software for boosted nonparametric hazard estimation. - Donald K. K. Lee; Ningyuan Chen; Hemant Ishwaran; Xiaochen Wang; Arash Pakbin; Bobak Mortazavi; Hongyu Zhao (SPACA, 2021)

BoXHED 2.0: Scalable boosting of functional data in survival analysis. - Arash Pakbin; Xiaochen Wang; Bobak J. Mortazavi; Donald K. K. Lee (CoRR, 2021)

Growing Representation Learning. - Ryan King; Bobak Mortazavi (CoRR, 2021)

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. - Nathan C. Hurley; Erica S. Spatz; Harlan M. Krumholz; Roozbeh Jafari; Bobak J. Mortazavi (ACM Trans. Comput. Heal., 2021)

Temporal relationship of computed and structured diagnoses in electronic health record data. - Wade L. Schulz; Hobart Patrick Young; Andreas Coppi; Bobak J. Mortazavi; Zhenqiu Lin; Raymond A. Jean; Harlan M. Krumholz (BMC Medical Informatics Decis. Mak., 2021)

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. - Randy Ardywibowo; Shahin Boluki; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2022)

Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers. - Sorush Omidvar; Ali R. Roghanizad; Lucy Chikwetu; Garrett Ash; Jessilyn Dunn; Bobak J. Mortazavi (BHI, 2022)

Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. - Asiful Arefeen; Niloo Jaribi; Bobak J. Mortazavi; Hassan Ghasemzadeh 001 (CHASE, 2022)

Modeling Individual Differences in Food Metabolism through Alternating Least Squares. - Anurag Das; Bobak Mortazavi; Nicolaas E. P. Deutz; Ricardo Gutierrez-Osuna (EMBC, 2022)

Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. - Zepeng Huo; Taowei Ji; Yifei Liang; Shuai Huang 001; Zhangyang Wang; Xiaoning Qian; Bobak Mortazavi (ICASSP, 2022)

VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. - Randy Ardywibowo; Zepeng Huo; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (ICML, 2022)

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. - Zepeng Huo; Xiaoning Qian; Shuai Huang 001; Zhangyang Wang; Bobak J. Mortazavi (MLHC, 2022)

Evaluating Short Animation Videos in Asynchronous Teaching. - Chen Liang; Bobak Mortazavi (SIGCSE (2), 2022)

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. - Gregory Holste; Evangelos K. Oikonomou; Bobak Mortazavi; Zhangyang Wang; Rohan Khera (CoRR, 2022)

A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. - 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; et al. (npj Digit. Medicine, 2022)

Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. - Anurag Das; Bobak Mortazavi; Seyedhooman Sajjadi; Theodora Chaspari; Laura E. Ruebush; Nicolaas E. P. Deutz; Gerard L. Coté; Ricardo Gutierrez-Osuna (IEEE J. Biomed. Health Informatics, 2022)

Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning. - Jonathan Martinez; Zhale Nowroozilarki; Roozbeh Jafari; Bobak J. Mortazavi (IEEE J. Biomed. Health Informatics, 2022)

ArterialNet: Arterial Blood Pressure Reconstruction. - Sicong Huang 002; Roozbeh Jafari; Bobak J. Mortazavi (BHI, 2023)

Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. - Lida Zhang; Sicong Huang 002; Anurag Das; Edmund Do; Namino Glantz; Wendy Bevier; Rony Santiago; David Kerr; Ricardo Gutierrez-Osuna; Bobak J. Mortazavi (BHI, 2023)

Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes. - Edmund Do; Anurag Das; Namino Glanz; Wendy Bevier; Rony Santiago; David Kerr; Ricardo Gutierrez-Osuna; Bobak J. Mortazavi (BSN, 2023)

Earlier identification of hypertensive events in a telemonitoring system. - Edmund Do; Suhrit Lavu; Hye-Chung Kum; Bobak J. Mortazavi (BSN, 2023)

Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams. - Arash Pakbin; Zhale Nowroozilarki; Donald K. K. Lee; Bobak J. Mortazavi (BSN, 2023)

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. - Lida Zhang; Rohan Khera; Bobak J. Mortazavi (EMBC, 2023)

Multimodal Pretraining of Medical Time Series and Notes. - Ryan King; Tianbao Yang; Bobak J. Mortazavi (ML4H@NeurIPS, 2023)

Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. - Lida Zhang; Bobak J. Mortazavi (MLHC, 2023)

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. - 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 (npj Digit. Medicine, 2023)

Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. - Yuntian Liu; Jeph Herrin; Chenxi Huang; Rohan Khera; Lovedeep Singh Dhingra; Weilai Dong; Bobak J. Mortazavi; Harlan M. Krumholz; Yuan Lu (J. Am. Medical Informatics Assoc., 2023)

Hypothesis Scoring for Confidence-Aware Blood Pressure Estimation With Particle Filters. - Jonathan Martinez; Bryant Passage; Bobak J. Mortazavi; Roozbeh Jafari (IEEE J. Biomed. Health Informatics, 2023)

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. - Nathan C. Hurley; Sanket S. Dhruva; Nihar Desai; Joseph R. Ross; Che Ngufor; Frederick Masoudi; Harlan M. Krumholz; Bobak J. Mortazavi (ACM Trans. Comput. Heal., 2023)

An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. - Ryan King; Shivesh Kodali; Conrad Krueger; Tianbao Yang; Bobak J. Mortazavi (BHI, 2024)

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability. - Ryan King; Conrad Krueger; Ethan Veselka; Tianbao Yang; Bobak J. Mortazavi (BHI, 2024)

Non-invasive Electrolyte Estimation Using Multi-lead ECG Data via Semi-Supervised Contrastive Learning with an Adaptive Loss. - Zhale Nowroozilarki; Sicong Huang 002; Rohan Khera; Bobak J. Mortazavi (BHI, 2024)

Macronutrient Constraints and Priors Improve Carbohydrate Predictions from Continuous Glucose Monitors. - Anurag Das; Edmund Do; Namino Glanz; Wendy Bevier; Rony Santiago; David Kerr; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (BSN, 2024)

Conference on Health, Inference, and Learning (CHIL) 2024. - 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 (CHIL, 2024)

ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning. - Zhale Nowroozilarki; Sicong Huang 002; Rohan Khera; Bobak J. Mortazavi (EMBC, 2024)

Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED. - Arash Pakbin; Aaron Su; Donald K. K. Lee; Bobak J. Mortazavi (CoRR, 2024)

ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach. - Sicong Huang 002; Roozbeh Jafari; Bobak J. Mortazavi (CoRR, 2024)

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. - Veer Sangha; Akshay Khunte; Gregory Holste; Bobak J. Mortazavi; Zhangyang Wang; Evangelos K. Oikonomou; Rohan Khera (J. Am. Medical Informatics Assoc., 2024)

Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. - Zhale Nowroozilarki; Bobak J. Mortazavi; Roozbeh Jafari (IEEE J. Biomed. Health Informatics, 2024)

BoXHED2.0: Scalable Boosting of Dynamic Survival Analysis. - Arash Pakbin; Xiaochen Wang; Bobak J. Mortazavi; Donald K. K. Lee (J. Stat. Softw., 2025)

Guest Editorial: Deep Medicine and AI for Health. - María Fernanda Cabrera-Umpiérrez; Tayo Obafemi-Ajayi; Ahmed Metwally 002; Bobak J. Mortazavi (IEEE J. Biomed. Health Informatics, 2025)

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays. - Chenlang Yi; Zizhan Xiong; Qi Qi; Xiyuan Wei; Girish Bathla; Ching-Long Lin; Bobak Jack Mortazavi; Tianbao Yang (CoRR, 2025)