Artificial Intelligence Medical Compendium

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

Showing 41,121 to 41,130 of 223,737 articles

Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection

arXiv Mar 17, 2026
Micro-expression (ME) action units (Micro-AUs) provide objective clues for fine-grained genuine emotion analysis. Most existing Micro-AU detection methods learn AU features from the whole facial image/video, which conflicts with the inherent locality... read more 
Computer Vision and Pattern Recognition

An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis

arXiv Mar 17, 2026
Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncontrollable fashion in the lungs. Some common treatment strategies are surgery, chemotherapy, and radiation which aren't the best options due to the het... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection

arXiv Mar 17, 2026
Object detection in remote sensing images (RSIs) is challenged by the coexistence of geometric and spatial complexity: targets may appear with diverse aspect ratios, while spanning a wide range of object sizes under varied contexts. Existing RSI back... read more 
Computer Vision and Pattern Recognition

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

arXiv Mar 17, 2026
Accurate taxonomic identification of parasitoid wasps within the superfamily Ichneumonoidea is essential for biodiversity assessment, ecological monitoring, and biological control programs. However, morphological similarity, small body size, and fine... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

$D^3$-RSMDE: 40$\times$ Faster and High-Fidelity Remote Sensing Monocular Depth Estimation

arXiv Mar 17, 2026
Real-time, high-fidelity monocular depth estimation from remote sensing imagery is crucial for numerous applications, yet existing methods face a stark trade-off between accuracy and efficiency. Although using Vision Transformer (ViT) backbones for d... read more 
Computer Vision and Pattern Recognition cs.AI

Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missions

arXiv Mar 17, 2026
Underwater image enhancement plays a crucial role in providing reliable visual information for underwater platforms, since strong absorption and scattering in water-related environments generally lead to image quality degradation. Existing high-perfo... read more 
Computer Vision and Pattern Recognition

FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios

arXiv Mar 17, 2026
Federated Learning (FL) enables distributed optimization without compromising data sovereignty. Yet, where local label distributions are mutually exclusive, standard weight aggregation fails due to conflicting optimization trajectories. Often, FL met... read more 
Machine Learning cs.AI

InViC: Intent-aware Visual Cues for Medical Visual Question Answering

arXiv Mar 17, 2026
Medical visual question answering (Med-VQA) aims to answer clinically relevant questions grounded in medical images. However, existing multimodal large language models (MLLMs) often exhibit shortcut answering, producing plausible responses by exploit... read more 
Computer Vision and Pattern Recognition

Semantic One-Dimensional Tokenizer for Image Reconstruction and Generation

arXiv Mar 17, 2026
Visual generative models based on latent space have achieved great success, underscoring the significance of visual tokenization. Mapping images to latents boosts efficiency and enables multimodal alignment for scaling up in downstream tasks. Existin... read more 
Computer Vision and Pattern Recognition

Controlling Fish Schools via Reinforcement Learning of Virtual Fish Movement

arXiv Mar 17, 2026
This study investigates a method to guide and control fish schools using virtual fish trained with reinforcement learning. We utilize 2D virtual fish displayed on a screen to overcome technical challenges such as durability and movement constraints i... read more 
Robotics cs.LG q-bio.PE
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