Multi-center radiomics-deep lEarning fusion model for stratifying IPMN malignancy risk on MRI

Bejar, A., et al

ISMRM 20262026

Screenshot 2026 02 04 at 9.49.13 PM 3948cf60e5

Abstract

An abstract is not available in the lab archive.

Cite this work

Bejar, A., et al (2026). Multi-center radiomics-deep lEarning fusion model for stratifying IPMN malignancy risk on MRI. ISMRM 2026

BibTeX

ISMRM

Publication details

Year: 2026
Type: Conference paper

Research areas

Pancreatic diseases

Related publications

All publications

2026

IPMN risk assessment with subregional radiomics and deep learning

Andrea Mia Bejar, Eminenur Sen Tasci, Max Nelson, Halil Ertugrul Aktas, Katie Wu, Ziliang Hong, Elif Keles, Muhammed Enes Tasci, Frank H Miller, Michael B Wallace, Rajesh N Keswani, Gorkem Durak, Ulas Bagci

MAYO CLINIC INNOVATIONS IN GASTROENTEROLOGY AND HEPATOLOGY 2026: ARTIFICIAL INTELLIGENCE AND BEYOND

2026

Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis

Ahmet Yasin Karkas, Yavuz B Taktak, Burak Gultekin, Ziliang Hong, Halil Ertugrul Aktas, Deniz Seyithanoglu, Timurhan Cebeci, Alper Akin, Ece Elustu, Kerem Arisin, Ali Canturk, Mehmet Ilhan, Naci Senkal, Michael B Wallace, Abraham F Bezuidenhout, Frank H Miller, Alpay Medetalibeyoglu, Mehmet Semih Cakir, Gorkem Durak, Ulas Bagci, Sukru Mehmet Erturk

Abdominal Radiology

2026

Upstream probabilistic meta-imputation for multimodal pediatric pancreatitis classification

Max A. Nelson, Elif Keles, Eminenur Sen Tasci, Merve Yazol, Halil Ertugrul Aktas, Ziliang Hong, Andrea Mia Bejar, Gorkem Durak, Oznur Leman Boyunaga, Ulas Bagci

IEEE ISBI 2026

2026

In-depth radiological and explainability analysis of deep learning predictions for IPMN risk stratification on MRI

Aktas, E. et al

ISMRM 2026

2026

MRI-based radiomics model for risk stratification of main duct IPMNs: toward reducing unnecessary pancreatic surgery

Ertugrul Aktas et al.

DDW 2026