Cover Image

Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mitic, Branko, Seeböck, Philipp, Straub, Jennifer, Prosch, Helmut, Langs, Georg
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring
by: Mitic, Branko, et al.
Published: (2025)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT
by: Mittal, Ajay, et al.
Published: (2025)

Clinical Priors Guided Lung Disease Detection in 3D CT Scans
by: Lu, Kejin, et al.
Published: (2026)

Advancing Lung Disease Diagnosis in 3D CT Scans
by: Li, Qingqiu, et al.
Published: (2025)

Reconstruction Interval Z-Phase Dependence of AI Detection Sensitivity in CT Lung Nodule Screening
by: Soliman, Dan
Published: (2026)

Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery
by: Pan, Jeanny, et al.
Published: (2025)

Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
by: Khiati, Rezkellah Noureddine, et al.
Published: (2025)

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
by: Rezvani, Sadjad, et al.
Published: (2024)

Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans
by: Li, Yiheng, et al.
Published: (2025)

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
by: Dayan, Baljinnyam
Published: (2024)

Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
by: Noreen, Muniba, et al.
Published: (2025)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
by: Zuo, Lianrui, et al.
Published: (2025)

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
by: Wang, Xiawei, et al.
Published: (2024)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)

Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease
by: Perkonigg, Matthias, et al.
Published: (2025)

Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
by: Shaukat, Furqan, et al.
Published: (2024)

Multi-Attention Stacked Ensemble for Lung Cancer Detection in CT Scans
by: Saha, Uzzal, et al.
Published: (2025)

Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
by: Jiang, Yifan, et al.
Published: (2025)

Deep Learning-Based Airway Segmentation in Systemic Lupus Erythematosus Patients with Interstitial Lung Disease (SLE-ILD): A Comparative High-Resolution CT Analysis
by: Piao, Sirong, et al.
Published: (2026)

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
by: Mei, Jie, et al.
Published: (2025)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
by: Ayllón, Elena Mulero, et al.
Published: (2025)

Detection of Vascular Leukoencephalopathy in CT Images
by: Cernekova, Z., et al.
Published: (2025)

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025)

Leveraging Machine Learning for Early Detection of Lung Diseases
by: Rahmani, Bahareh, et al.
Published: (2025)

Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
by: Dack, Ethan, et al.
Published: (2025)

CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns
by: Al-Rubaian, Arwa, et al.
Published: (2025)

Longitudinal Assessment of Lung Lesion Burden in CT
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

BMAD: Benchmarks for Medical Anomaly Detection
by: Bao, Jinan, et al.
Published: (2023)

Weakly-Supervised Detection of Bone Lesions in CT
by: Sheng, Tao, et al.
Published: (2024)

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
by: Oluigboa, David C., et al.
Published: (2024)

Beyond Benchmarks: A Framework for Post Deployment Validation of CT Lung Nodule Detection AI
by: Soliman, Daniel
Published: (2026)

Improved Focus on Hard Samples for Lung Nodule Detection
by: Chen, Yujiang, et al.
Published: (2024)

U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
by: Zhang, Qi, et al.
Published: (2025)

Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
by: Mazumder, Anirudh, et al.
Published: (2024)

Robust COVID-19 Detection in CT Images with CLIP
by: Lin, Li, et al.
Published: (2024)

DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
by: Zalevskyi, Vladyslav, et al.
Published: (2024)

No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data
by: Fürböck, Christoph, et al.
Published: (2025)

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
by: Ding, Yuexing, et al.
Published: (2024)

Advancing COVID-19 Detection in 3D CT Scans
by: Li, Qingqiu, et al.
Published: (2024)