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Bobak J. Mortazavi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

7

Active years

2021–2025

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2025BSNHealth-Driven Personalized Metabolic Models of Postprandial Glucose Responses to Mixed Meals.Anurag Das, Ghady Nasrallah, Sicong Huang, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna
2025BSNThe Impact of Protected Variable Integration in Multimodal Pretraining: A Case Study on ECG Waveforms and ECG Notes Pretraining.Zhale Nowroozilarki, Sicong Huang, Sadeer Al-Kindi, Bobak J. Mortazavi
2025MICCAIAdFair-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 J. Mortazavi, Tianbao Yang
2024BSNMacronutrient 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
2023BSNModeling 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
2023BSNEarlier identification of hypertensive events in a telemonitoring system.Edmund Do, Suhrit Lavu, Hye-Chung Kum, Bobak J. Mortazavi
2023BSNPredicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams.Arash Pakbin, Zhale Nowroozilarki, Donald K. K. Lee, Bobak J. Mortazavi
2022AISTATSVFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition.Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022CHASEComputational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge.Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh
2022ICMLVariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty.Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2021ICASSPTowards 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
2021ICMLSelf-Damaging Contrastive Learning.Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
2021IUIPersonalized Meal Classification Using Continuous Glucose Monitors.Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna