Artificial Intelligence Medical Compendium

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

Showing 41,771 to 41,780 of 223,853 articles

CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control

arXiv
We present CamLit, the first unified video diffusion model that jointly performs novel view synthesis (NVS) and relighting from a single input image. Given one reference image, a user-defined camera trajectory, and an environment map, CamLit synthesi... read more 

BIT: Matching-based Bi-directional Interaction Transformation Network for Visible-Infrared Person Re-Identification

arXiv
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task due to the substantial modality gap between visible and infrared images. While existing methods attempt to bridge this gap by learning modality-invariant features wit... read more 

OAHuman: Occlusion-Aware 3D Human Reconstruction from Monocular Images

arXiv
Monocular 3D human reconstruction in real-world scenarios remains highly challenging due to frequent occlusions from surrounding objects, people, or image truncation. Such occlusions lead to missing geometry and unreliable appearance cues, severely d... read more 

ITKIT: Feasible CT Image Analysis based on SimpleITK and MMEngine

arXiv
CT images are widely used in clinical diagnosis and treatment, and their data have formed a de facto standard - DICOM. It is clear and easy to use, and can be efficiently utilized by data-driven analysis methods such as deep learning. In the past dec... read more 

Toward Clinically Ready Foundation Models in Medical Image Analysis: Adaptation Mechanisms and Deployment Trade-offs

arXiv
Foundation models (FMs) have demonstrated strong transferability across medical imaging tasks, yet their clinical utility depends critically on how pretrained representations are adapted to domain-specific data, supervision regimes, and deployment co... read more 

DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images

arXiv
Training and evaluation in multi-channel imaging (MCI) remains challenging due to heterogeneous channel configurations arising from varying staining protocols, sensor types, and acquisition settings. This heterogeneity limits the applicability of fix... read more 

RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360°Image Quality Assessment

arXiv
Blind 360°image quality assessment (IQA) aims to predict perceptual quality for panoramic images without a pristine reference. Unlike conventional planar images, 360°content in immersive environments restricts viewers to a limited viewport at any mom... read more 

A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement

arXiv
Limited illumination often causes severe physical noise and detail degradation in images. Existing Low-Light Image Enhancement (LLIE) methods frequently treat the enhancement process as a blind black-box mapping, overlooking the physical noise transf... read more 

In-Field 3D Wheat Head Instance Segmentation From TLS Point Clouds Using Deep Learning Without Manual Labels

arXiv
3D instance segmentation for laser scanning (LiDAR) point clouds remains a challenge in many remote sensing-related domains. Successful solutions typically rely on supervised deep learning and manual annotations, and consequently focus on objects tha... read more 

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

arXiv
We present ScienceClaw + Infinite, a framework for autonomous scientific investigation in which independent agents conduct research without central coordination, and any contributor can deploy new agents into a shared ecosystem. The system is built a... read more