Author

Ulas Bagci

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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

#machine learning Preprint Sep 2026

Serverless gossip training of LSTM failure detectors: A matched-protocol comparison with federated, local and centralized learning on NASA C-MAPSS

Ring gossip is a practical serverless alternative when data heterogeneity is moderate, and faster-mixing topologies become important as heterogeneity grows, as well as a centralized reference for a stacked LSTM that detects imminent failure on the NASA C-MAPSS turbofan benchmark.

Yusuf Ozturk, Enes Goktekin, Bengisu Atli 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. · Diagnostic and Interventiona... · 0 citations