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20242026
most citedPediatric Pancreas Segmentation from MRI Scans with Deep Learning

7 citations · 9 across the 19 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

ProDM: Synthetic Reality-driven Property-aware Progressive Diffusion Model for Coronary Calcium Motion Correction in Non-gated Chest CT

Xinran Gong, Gorkem Durak, Halil Ertugrul Aktas +5

Coronary artery calcium (CAC) scoring from chest CT is a well-established tool to stratify and refine clinical cardiovascular disease risk estimation. CAC quantification relies on…

cs.CV2025

Upstream Probabilistic Meta-Imputation for Multimodal Pediatric Pancreatitis Classification

Max A. Nelson, Elif Keles, Eminenur Sen Tasci +7

Pediatric pancreatitis is a progressive and debilitating inflammatory condition, including acute pancreatitis and chronic pancreatitis, that presents significant clinical diagnosti…

cs.CV2025

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis

Alec K. Peltekian, Halil Ertugrul Aktas, Gorkem Durak +10

Mixture-of-Experts (MoE) architectures achieve scalable learning by routing inputs to specialized subnetworks through conditional computation. However, conventional MoE designs ass…

cs.CV2025

Pancreas Part Segmentation under Federated Learning Paradigm

Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar +15

We present the first federated learning (FL) approach for pancreas part(head, body and tail) segmentation in MRI, addressing a critical clinical challenge as a significant innovati…

cs.CV2025

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes

Jun Zeng, Quoc-Huy Trinh, Deepak Ranjan Nayak +3

Liver cirrhosis plays a critical role in the prognosis of chronic liver disease. Early detection and timely intervention are essential for reducing mortality rates. However, the in…

eess.IV2025

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation

Zheyuan Zhang, Linkai Peng, Wanying Dou +6

Clinical magnetic-resonance (MR) protocols generate many T1 and T2 sequences whose appearance differs more than the acquisition sites that produce them. Existing domain-generalizat…

eess.IV2025

Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm

Hongyi Pan, Gorkem Durak, Elif Keles +27

Pancreatic cancer is projected to be the second-deadliest cancer by 2030, making early detection critical. Intraductal papillary mucinous neoplasms (IPMNs), key cancer precursors,…

cs.CV2025★ 7 cited

Pediatric Pancreas Segmentation from MRI Scans with Deep Learning

Elif Keles, Merve Yazol, Gorkem Durak +11

Objective: Our study aimed to evaluate and validate PanSegNet, a deep learning (DL) algorithm for pediatric pancreas segmentation on MRI in children with acute pancreatitis (AP), c…