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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

H. Aktas

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Open access Sep 2026

Multicenter Validation of Foundation Model Adaptation for Automated Pancreatic Tumor Delineation on CT Scans

Simple Summary Pancreatic cancer is one of the deadliest cancers, and accurate tumor delineation on contrast-enhanced computed tomography (CECT) is essential for staging, treatment planning, and response assessment. Manual tumor segmentation is time-consuming and subject to reader variability. Recently, foundation mode...

H. Aktas, Eminenur Sen Tasci, L. Peng et al. · 0 citations
Preprint Sep 2026

Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT

Pre-operative planning for bronchoscopy is critical for the diagnosis of lung lesions. Current accessibility assessment relies on subjective manual inspection of CT scans, which is time-consuming and prone to inter-observer variability. In this paper, we formalize bronchoscopy accessibility prediction as a novel superv...

L. Peng, Cui-Ling Sun, Bin Wang et al. · 0 citations
Preprint Aug 2026

BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

A domain generalization framework that utilizes a foreground-only histogram matching protocol to resolve the domain shift issue arising from disparate clinical sources is proposed, significantly outperforming prominent domain generalization paradigms, including MixStyle and Discrete-Fourier-Transform-based frameworks.

Hong-Yi Pan, Gorkem Durak, H. Aktas et al. · 0 citations
Preprint Aug 2026

Hierarchical MoE for Multi-Modal ILD Diagnosis

This work presents a hierarchical multimodal MoE for interstitial lung disease (ILD) classification that integrates a frozen, pre-trained imaging expert with structured electronic health records (EHR) via two-stage gating via two-stage gating.

A. Peltekian, Gorkem Durak, H. Aktas et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

A unified 3D pancreas segmentation framework that applies domain-adversarial learning to 4,604 heterogeneous CT and MRI scans to learn anatomical representations is developed and demonstrated that a unified anatomical representation can support both cross-modality pancreas segmentation and label-efficient downstream tr...

Zi-Liang Hong, Hong-Yi Pan, H. Aktas et al. · 0 citations
Review Open access Aug 2026

Explainable artificial intelligence in medical imaging: how to interpret, evaluate, and use artificial intelligence explanations.

An accessible overview of XAI is provided, including saliency maps, perturbation-based and feature-attribution approaches, concept- based methods, and example-based reasoning, as well as uncertainty quantification as a complementary approach for assessing prediction reliability, along with common misconceptions and eme...

Gorkem Durak, H. Aktas, Tugba Akinci D'Antonoli et al. · 0 citations

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