🧠 Research

📢 Updates

  • Our work on graph-based aggregation for patient-level video classification was accepted as a lecture at IEEE IUS 2026 (link)
  • Our work on generative image synthesis for data augmentation (DiffUltra) was presented at IEEE ISBI 2025 (link)
  • Our work on deep-learning severity scoring, and how well it tracks clinical progression, was published in The Ultrasound Journal (link)
  • Our work on weakly semi-supervised detector-based video classification with temporal context was presented at ICCV 2023 workshops (link)
  • Our work on weakly semi-supervised detection in video was accepted at IPMI 2023 (link)
  • Our work on contrastive self-supervised learning for spatio-temporal video analysis was presented at IEEE ISBI 2023 (link)
  • Our work on automated abnormality detection appeared in Annals of Emergency Medicine (link)

đź“„ Publications

Zone-Aware Graph Aggregation Network for Patient-Level Lung Ultrasound Diagnosis

Li Chen, Shubham Patil, et al.

IEEE International Ultrasonics Symposium (IUS), 2026 (accepted)

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Ultrasound Image Synthesis Using Generative AI for Lung Consolidation Detection

Yu-Cheng Chou, Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Bryson Hicks, Nikolai Schnittke, Maria Parker, David O. Kessler, Jeffrey Shupp, Cristiana Baloescu, Christopher Moore, Cynthia Gregory, Kenton Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen

IEEE International Symposium on Biomedical Imaging (ISBI), 2025

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Deep-learning generated B-line score mirrors clinical progression of disease

Cristiana Baloescu, Alvin Chen, Alexander Varasteh, Jane Hall, Grzegorz Toporek, Shubham Patil, Robert L. McNamara, Balasundar Raju, Christopher L. Moore

The Ultrasound Journal, 2024

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Artificial Intelligence Model to Identify Pleural Line Abnormalities in Lung Ultrasound

Alvin Chen, Brian Hicks, Shubham Patil, Mohsen Zahiri, Li Chen, Nikolai Schnittke, Cynthia Gregory, Jeffrey Shupp, Kenton Gregory, Jochen Kruecker

Annals of Emergency Medicine, 2023

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Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound

Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Cynthia Gregory, Kenton Gregory, Balasundar Raju, Jochen Kruecker

IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023

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Weakly Semi-supervised Detection in Lung Ultrasound Videos

Jiahong Ouyang, Li Chen, Gary Y. Li, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia R. Gregory

Information Processing in Medical Imaging (IPMI), 2023

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Contrastive self-supervised learning for spatio-temporal analysis of lung ultrasound

Li Chen, Jonathan Rubin, Jiahong Ouyang, Naveen Balaraju, Shubham Patil, Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Kenton W. Gregory, Cynthia R. Gregory

IEEE International Symposium on Biomedical Imaging (ISBI), 2023

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Deep-Learning Generated B-Line Score Mirrors Clinical Progression of Disease

Cristiana Baloescu, Alexander Varasteh, Anthony Papale, Balasundar Raju, Grzegorz Toporek, Shubham Patil, Robert McNamara, Christopher Moore

Annals of Emergency Medicine (research abstract), 2021

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Application of Bayesian networks to generate synthetic health data

Dhamanpreet Kaur, Matthew Sobiesk, Shubham Patil, Jin Liu, Puran Bhagat, Amar Gupta, Natasha Markuzon

Journal of the American Medical Informatics Association (JAMIA), 2021

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