Engineering & Signals · Interdisciplinary & Society
Image & Video Processing
The newest papers in Image & Video Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
297 papers, from 4 September 2026 to 5 November 2026: 297 arXiv preprints.
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Newest papers, page 7
Hybrid Context Forests and Bilateral Viterbi Matching for 3D Rib Centerline Tracing in CT
Automatic extraction and anatomical numbering (R01-R12, L01-L12) of all 24 rib centerlines in thoracic CT is essential for unfolded rib visualization, fracture detection, and surgical navigation…Uncertainty-Aware Cortical Surface Reconstruction and Spherical Registration for Heterogeneous Brain MRI
Surface-based cortical analysis is useful in many applications as it is a natural way to model the highly folded structure of the cerebral cortex, allowing quantities such as curvature and thickness…Generative Quantum Machine Learning Methods for Cancer Detection using Augmented Datasets
Cancer detection using AI methods and image databases faces several challenges, including limited and imbalanced image datasets, long algorithm training times, and high-complexity feature generation.Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction
Generative MRI reconstruction maps an initial source distribution to the target image distribution along a learned recovery trajectory.The Predictability Bias of Joint-Embedding Predictive Learning in Medical Imaging
Joint-embedding predictive architectures (JEPAs) learn by predicting teacher representations of masked regions from visible context.Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction
Thyroid nodule malignancy assessment relies on ultrasound imaging, yet current risk stratification systems suffer from substantial interobserver variability, contributing to a high rate of…Desertification Forecasting in Semi-Arid Regions: Using Deep Learning to Probe the Observability Limits of Land Degradation Dynamics
Forecasting desertification has received far less attention than mapping it.Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging Data
Machine learning models are increasingly used for automated feature extraction from weakly annotated bioimaging data, such as microscopy and cytomorphology images.Can Multimodal Decision Models Classify Breast Ultrasound Images? Benchmarking CLEF and CLEF-Flash Across Prompts and Datasets
Multimodal decision models return probabilities over predefined alternatives, offering a structured interface for image classification.Exploring the Latent Structure of AMD Severity Using Retinal Foundation Models
Retinal foundation models have demonstrated strong performance across a wide range of ophthalmic tasks, yet relatively little is known about how disease-related information is represented within…Frozen Site-Probe Accuracy Is Not a Standalone Harmonization Score: An Audit of Evaluation Practice for Multi-Site MRI
Image-level MRI harmonization is often evaluated with a frozen site probe, a site classifier trained on raw scans and applied unchanged to harmonized ones: a drop in its accuracy is read as removal…C$^2$LUE: Clinically Aligned Patient-Level Ultrasound Diagnosis via Evidence-Aware Multi-Instance Learning
Patient-level ultrasound diagnosis demands not only high predictive accuracy but also clinically aligned mitigation of asymmetric diagnostic risks.Beyond Discrimination: Evaluating Probability Calibration in Radiomics-Image Fusion for Renal Cell Carcinoma Classification
Reliable probability estimates are important for the clinical interpretation of machine-learning classifiers, yet radiomics--image fusion models for renal cell carcinoma (RCC) are commonly evaluated…Beyond Gate Weights: Decision-Level Interpretation of Radiomics-Image Feature Fusion for RCC Classification
Gate coefficients describe how a fusion layer weights intermediate features, but they do not necessarily reflect the magnitude of branch contributions at the classifier output.Skeleton-Guided Progressive Test-Time Adaptation for Thin Curvilinear Structures
Accurate segmentation of thin curvilinear structures is vital for various real-world applications, from vessel analysis to road extraction.Improving Image-Based Nutrition Estimation Through Multimodal Food-Item Verification and Recovery
Single-image nutrition estimation can fail silently when visible foods are missed.A Unified Score Matching Paradigm for Video Anomaly Detection and Anticipation
Video anomaly detection (VAD) is a fundamental and safety-critical task in computer vision.Open-Vocabulary Audio-Visual Event Localization via Complex-Valued Fusion
Open-Vocabulary Audio-Visual Event Localization (OV-AVEL) labels each video segment with an event class, including classes that were never seen during training.LVS: Local View Synthesis from Relative Camera Pose by Reusing Previous Views
Interactive scene exploration requires frequent view updates, although small camera motions preserve much of the visible content.RePrior: Measurement-Reconciled Prior Correction for Sparse-View CBCT Reconstruction
Sparse-view cone-beam computed tomography (CBCT) is severely under-constrained by limited X-ray projections.