Machine and Hybrid
Intelligence Lab
Lab workspace

TRIUNE-net: harmonizing scale, shape, and efficiency in pancreatic tumor segmentation

Amir hossein saleknia, Alireza Kheyrkhah, Sanaz Karimijafarbigloo, Sina Houshmand, Reza Azad, Ulas Bagci, Dorit Merhof, Alaa Sulaiman

MICCAI 2026 (MIRASOL)

Read the paper BibTeX
MICCAI conference logo

Abstract

An abstract is not available in the lab archive. View the paper at its source.

Cite this work

Amir hossein saleknia, Alireza Kheyrkhah, Sanaz Karimijafarbigloo, Sina Houshmand, Reza Azad, Ulas Bagci, Dorit Merhof, Alaa Sulaiman (2026). TRIUNE-net: harmonizing scale, shape, and efficiency in pancreatic tumor segmentation. MICCAI 2026 (MIRASOL)

BibTeX

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