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20212026
most citedA Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice

21 citations · 57 across the 34 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

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

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…

eess.IV2025

VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction

Xin Zhu, Ahmet Enis Cetin, Gorkem Durak +13

Bias field artifacts in magnetic resonance imaging (MRI) scans introduce spatially smooth intensity inhomogeneities that degrade image quality and hinder downstream analysis. To ad…

eess.IV2025

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients

Wanying Dou, Gorkem Durak, Koushik Biswas +14

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remai…

eess.IV2025★ 2 cited

Liver Cirrhosis Stage Estimation from MRI with Deep Learning

Jun Zeng, Debesh Jha, Ertugrul Aktas +8

We present an end-to-end deep learning framework for automated liver cirrhosis stage estimation from multi-sequence MRI. Cirrhosis is the severe scarring (fibrosis) of the liver an…