Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 40,141 to 40,150 of 223,737 articles

ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images

arXiv Mar 20, 2026
Invasive Coronary Angiography (ICA) is the clinical gold standard for the assessment of coronary artery disease. However, its interpretation remains subjective and prone to intra- and inter-operator variability. In this work, we introduce ODySSeI: an... read more 
Machine Learning

Investigating a Policy-Based Formulation for Endoscopic Camera Pose Recovery

arXiv Mar 20, 2026
In endoscopic surgery, surgeons continuously locate the endoscopic view relative to the anatomy by interpreting the evolving visual appearance of the intraoperative scene in the context of their prior knowledge. Vision-based navigation systems seek t... read more 
Image and Video Processing cs.CV

MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space Models

arXiv Mar 20, 2026
State Space Models (SSMs), especially recent Mamba architecture, have achieved remarkable success in sequence modeling tasks. However, extending SSMs to computer vision remains challenging due to the non-sequential structure of visual data and its co... read more 
Computer Vision and Pattern Recognition

A Unified Platform and Quality Assurance Framework for 3D Ultrasound Reconstruction with Robotic, Optical, and Electromagnetic Tracking

arXiv Mar 20, 2026
Three-dimensional (3D) Ultrasound (US) can facilitate diagnosis, treatment planning, and image-guided therapy. However, current studies rarely provide a comprehensive evaluation of volumetric accuracy and reproducibility, highlighting the need for ro... read more 
Computer Vision and Pattern Recognition cs.RO eess.IV

Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment

arXiv Mar 20, 2026
Current no-reference image quality assessment (NR-IQA) models for enhanced images often struggle to generalize, as they tend to overfit to the distinct patterns of specific enhancement algorithms rather than evaluating genuine perceptual quality. To ... read more 
Computer Vision and Pattern Recognition

Conditioning Protein Generation via Hopfield Pattern Multiplicity

arXiv Mar 20, 2026
Protein sequence generation via stochastic attention produces plausible family members from small alignments without training, but treats all stored sequences equally and cannot direct generation toward a functional subset of interest. We show that a... read more 
Machine Learning q-bio.BM q-bio.QM

Generalizable NGP-SR: Generalizable Neural Radiance Fields Super-Resolution via Neural Graph Primitives

arXiv Mar 20, 2026
Neural Radiance Fields (NeRF) achieve photorealistic novel view synthesis but become costly when high-resolution (HR) rendering is required, as HR outputs demand dense sampling and higher-capacity models. Moreover, naively super-resolving per-view re... read more 
Computer Vision and Pattern Recognition

Can Large Multimodal Models Inspect Buildings? A Hierarchical Benchmark for Structural Pathology Reasoning

arXiv Mar 20, 2026
Automated building facade inspection is a critical component of urban resilience and smart city maintenance. Traditionally, this field has relied on specialized discriminative models (e.g., YOLO, Mask R-CNN) that excel at pixel-level localization but... read more 
Computer Vision and Pattern Recognition

Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD

arXiv Mar 20, 2026
It is currently difficult to distill discrete diffusion models. In contrast, continuous diffusion literature has many distillation approaches methods that can reduce sampling steps to a handful. Our method, Discrete Moment Matching Distillation (D-... read more 
Machine Learning cs.CV stat.ML

EgoForge: Goal-Directed Egocentric World Simulator

arXiv Mar 20, 2026
Generative world models have shown promise for simulating dynamic environments, yet egocentric video remains challenging due to rapid viewpoint changes, frequent hand-object interactions, and goal-directed procedures whose evolution depends on latent... read more 
Computer Vision and Pattern Recognition cs.MM
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