Artificial Intelligence Medical Compendium

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

Showing 11,031 to 11,040 of 209,601 articles

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction

arXiv May 25, 2026
Multi-view 3D reconstruction has achieved remarkable progress with the advent of feed-forward 3D reconstruction models. However, these models are typically trained and evaluated under ideal, degradation-free imaging conditions, whereas real-world obs... read more 
Computer Vision and Pattern Recognition

Global Structure-from-Motion Meets Feedforward Reconstruction

arXiv May 25, 2026
Structure-from-Motion -- the process of simultaneously estimating camera poses and 3D scene structure from a collection of images -- remains a central challenge in computer vision, with many open problems yet to be solved. Recent advances in feedforw... read more 
Computer Vision and Pattern Recognition

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

arXiv May 25, 2026
Clinical time-series learning is routinely constrained by small, heterogeneous cohorts and protocol drift, while its downstream use spans both classification (e.g., pathology diagnosis) and regression (e.g., temporal forecasting). These constraints m... read more 
Machine Learning

Co-folding model guided by structural proteomics

arXiv May 25, 2026
Protein structure generative models excel at predicting single protein static structures from sequence, but routinely fail to capture the correct conformational state of protein complexes, critical for protein design and induced proximity modalities ... read more 
Machine Learning cs.AI q-bio.BM

MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images

arXiv May 25, 2026
3D human mesh recovery and 3D clothed human reconstruction are inherently related, yet they have long been studied in isolation, thereby overlooking the potential gains of joint optimization. To overcome this limitation, we propose to address these t... read more 
Computer Vision and Pattern Recognition cs.AI

AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis

arXiv May 25, 2026
Text-to-image synthesis has made significant progress, benefiting from the strong generative capabilities of diffusion models. However, these models struggle to achieve precise text-to-image alignment within cross-attention maps during the denoising ... read more 
Computer Vision and Pattern Recognition

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation

arXiv May 25, 2026
Estimating continuous optical flow is a fundamental yet challenging problem in dynamic visual perception. Event-based cameras, with microsecond latency and high dynamic range, capture brightness changes asynchronously, offering a unique opportunity t... read more 
Computer Vision and Pattern Recognition

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement

arXiv May 25, 2026
Existing deep learning-based low-light enhancement methods are typically trained on limited datasets with single enhancement targets, which restricts their generalization ability and controllability in real-world applications. To overcome these limit... read more 
Computer Vision and Pattern Recognition

When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

arXiv May 25, 2026
Many practical anomalies are not merely rare inputs, but violations of semantic constraints: objects co-occur in structured ways, actions imply preconditions, and events satisfy temporal or relational regularities. We study anomaly detection in this ... read more 
Machine Learning

Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.

Renal failure May 25, 2026
Acute kidney injury (AKI) is a severe and frequent complication following bee stings, with a reported incidence of 30-50%. Early identification is clinically challenging due to the delayed rise in serum creatinine. This retrospective study aimed to d... read more 
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