Gabriel Gruionu
Biochemistry, Genetics and Molecular Biology · Indiana University
Publications
85
Citations
883
Est. group size
—
Recurring co-author estimate
Active years
27
Publishing since 2000
Gabriel Gruionu works at the intersection of medical imaging, artificial intelligence, and cardiovascular and gastrointestinal medicine. Recent projects include AI systems that detect pancreatic lesions during endoscopic ultrasound in real time, predictive models for heart damage after treatment of heart attacks, and medical robotics for navigating catheters inside the body. The work combines computational modeling of blood flow with machine learning applied to clinical imaging data.
Publication activity has been steady over the last decade, averaging around five to seven papers per year without a clear upward or downward shift.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~8 · 4% small-team papers (≤3 authors) · across 30 venues
- Mo2203 A MULTI-METHOD EXPLAINABILITY FRAMEWORK FOR REAL-TIME ARTIFICIAL INTELLIGENCE SEGMENTATION IN PANCREATIC ENDOSCOPIC ULTRASOUND
Gastroenterology · 2026
- Mo2203 A MULTI-METHOD EXPLAINABILITY FRAMEWORK FOR REAL-TIME ARTIFICIAL INTELLIGENCE SEGMENTATION IN PANCREATIC ENDOSCOPIC ULTRASOUND
Gastrointestinal Endoscopy · 2026
- Deep Learning and Hemodynamics Reveal Pressure-Dependent Determinants of Intramyocardial Hemorrhage Risk Following Reperfusion Therapy in STEMI Patients
Research Square · 2026
- Predicting Intramyocardial Hemorrhage Before Reperfusion in STEMI Patients With Intrinsically Explainable Artificial Intelligence
JACC Advances · 2026
- Prospective clinical validation of a novel artificial intelligence system for real-time detection of solid pancreatic masses during endoscopic ultrasonography
Endoscopy · 2025
- Detecting Hemorrhagic Myocardial Infarction With 3.0-T CMR
JACC. Cardiovascular imaging · 2025
- Patient-specific topological and hemodynamic analysis of coronary vasculature for assessing the risk of intramyocardial hemorrhage after reperfusion therapy using coronary angiography and CMR
Journal of Cardiovascular Magnetic Resonance · 2025
- REAL-TIME AI-POWERED EUS IMAGING ANALYSIS SOFTWARE FOR DETECTION OF BILE DUCT, PANCREATIC DUCT, GALLBLADDER, AND ASSOCIATED STONES
Gastrointestinal Endoscopy · 2025
- PERFORMANCE OF A NOVEL ARTIFICIAL INTELLIGENCE SYSTEM FOR DETECTION OF SOLID PANCREATIC MASS LESIONS AT REAL-TIME ENDOSCOPIC ULTRASOUND (EUS)
Gastrointestinal Endoscopy · 2025
- Heart rate variability parameters indicate altered autonomic tone in subjects with COVID-19
Scientific Reports · 2024
- Experimental and theoretical model of microvascular network remodeling and blood flow redistribution following minimally invasive microvessel laser ablation
Scientific Reports · 2024
- REAL-TIME AI-ENHANCED ANALYSIS OF EUS MOVIES USED FOR DETECTION AND SEGMENTATION OF CYSTIC PANCREATIC LESIONS AND FOCAL PANCREATIC MASSES
Gastrointestinal Endoscopy · 2024
- Real-time AI-powered EUS imaging analysis software for detection and segmentation of cystic versus solid pancreatic lesions
Endoscopy · 2024
- Design and Technical Feasibility Testing of a Medical Robot for Flexible Catheter Navigation Inside the Lung Airways
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- S3 Performance of a Novel Artificial Intelligence System for Detection of Solid Pancreatic Mass Lesions at Real-Time Endoscopic Ultrasound (EUS)
The American Journal of Gastroenterology · 2024
- Gastrointestinal Endoscopy×8
- PubMed×5
- PLoS ONE×3
- Endoscopic Ultrasound×3
- Endoscopy×3
- Joshua K. Meisner
Biochemistry, Genetics and Molecular Biology · University of Michigan
- Evan H. Jarman
Biochemistry, Genetics and Molecular Biology · University of Michigan
- Jacques E. Nör
Biochemistry, Genetics and Molecular Biology · University of Michigan
- Daphne Lin
Biochemistry, Genetics and Molecular Biology · University of Michigan
- Kevin Buno
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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