Artificial Intelligence Medical Compendium

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

Showing 40,131 to 40,140 of 223,737 articles

SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images

arXiv Mar 20, 2026
3D instance segmentation methods typically rely on high-quality point clouds or posed RGB-D scans, requiring complex multi-stage processing pipelines, and are highly sensitive to reconstruction noise. While recent feed-forward transformers have revol... read more 
Computer Vision and Pattern Recognition

Timestep-Aware Block Masking for Efficient Diffusion Model Inference

arXiv Mar 20, 2026
Diffusion Probabilistic Models (DPMs) have achieved great success in image generation but suffer from high inference latency due to their iterative denoising nature. Motivated by the evolving feature dynamics across the denoising trajectory, we propo... read more 
Computer Vision and Pattern Recognition

Structural Controllability of Large-Scale Hypergraphs

arXiv Mar 20, 2026
Controlling real-world networked systems, including ecological, biomedical, and engineered networks that exhibit higher-order interactions, remains challenging due to inherent nonlinearities and large system scales. Despite extensive studies on graph... read more 
Optimization and Control cs.LG cs.SI eess.SY

HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

arXiv Mar 20, 2026
Pathology reports are structured, multi-granular documents encoding diagnostic conclusions, histological grades, and ancillary test results across one or more anatomical sites; yet existing pathology vision-language models (VLMs) reduce this output t... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation

arXiv Mar 20, 2026
In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indirect methods that typically predict intermediate 2D keypoints, followed by a Perspective-n-Point solver, have shown great performance. Direct approache... read more 
Computer Vision and Pattern Recognition

2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction

arXiv Mar 20, 2026
High-resolution geometric prediction is essential for robust perception in autonomous driving, robotics, and AR/MR, but current foundation models are fundamentally limited by their scalability to real-world, high-resolution scenarios. Direct inferenc... read more 
Computer Vision and Pattern Recognition

MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUI

arXiv Mar 20, 2026
Despite the rapid progress of Multimodal Large Language Models (MLLMs), their ability to perform reliable visual grounding in high-stakes clinical software environments remains underexplored. Existing GUI benchmarks largely focus on isolated, single-... read more 
Computer Vision and Pattern Recognition

NEC-Diff: Noise-Robust Event-RAW Complementary Diffusion for Seeing Motion in Extreme Darkness

arXiv Mar 20, 2026
High-quality imaging of dynamic scenes in extremely low-light conditions is highly challenging. Photon scarcity induces severe noise and texture loss, causing significant image degradation. Event cameras, featuring a high dynamic range (120 dB) and h... read more 
Computer Vision and Pattern Recognition

Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features

arXiv Mar 20, 2026
Current diffusion-based makeup transfer methods commonly use the makeup information encoded by off-the-shelf foundation models (e.g., CLIP) as condition to preserve the makeup style of reference image in the generation. Although effective, these work... read more 
Computer Vision and Pattern Recognition

CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data

arXiv Mar 20, 2026
In clinical practice, crossmodal information including medical images and tabular data is essential for disease diagnosis. There exists a significant modality gap between these data types, which obstructs advancements in crossmodal diagnostic accurac... read more 
Computer Vision and Pattern Recognition
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