Artificial Intelligence Medical Compendium

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

Showing 48,731 to 48,740 of 224,513 articles

ComptonUNet: A Deep Learning Model for GRB Localization with Compton Cameras under Noisy and Low-Statistic Conditions

arXiv Feb 19, 2026
Gamma-ray bursts (GRBs) are among the most energetic transient phenomena in the universe and serve as powerful probes for high-energy astrophysical processes. In particular, faint GRBs originating from a distant universe may provide unique insights i... read more 
Computer Vision and Pattern Recognition astro-ph.IM

Benchmarking the Effects of Object Pose Estimation and Reconstruction on Robotic Grasping Success

arXiv Feb 19, 2026
3D reconstruction serves as the foundational layer for numerous robotic perception tasks, including 6D object pose estimation and grasp pose generation. Modern 3D reconstruction methods for objects can produce visually and geometrically impressive me... read more 
Robotics cs.CV

VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation

arXiv Feb 19, 2026
Vector Quantized Variational Autoencoders (VQ-VAEs) are fundamental to modern generative modeling, yet they often suffer from training instability and "codebook collapse" due to the inherent coupling of representation learning and discrete codebook o... read more 
Machine Learning cs.AI

TimeOmni-VL: Unified Models for Time Series Understanding and Generation

arXiv Feb 19, 2026
Recent time series modeling faces a sharp divide between numerical generation and semantic understanding, with research showing that generation models often rely on superficial pattern matching, while understanding-oriented models struggle with high-... read more 
Machine Learning cs.AI

Selective Training for Large Vision Language Models via Visual Information Gain

arXiv Feb 19, 2026
Large Vision Language Models (LVLMs) have achieved remarkable progress, yet they often suffer from language bias, producing answers without relying on visual evidence. While prior work attempts to mitigate this issue through decoding strategies, arch... read more 
Computer Vision and Pattern Recognition

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models

arXiv Feb 19, 2026
Multimodal large language models (MLLMs) incur substantial inference cost due to the processing of hundreds of visual tokens per image. Although token pruning has proven effective for accelerating inference, determining when and where to prune remain... read more 
Computer Vision and Pattern Recognition

GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation

arXiv Feb 19, 2026
Despite high semantic alignment, modern text-to-image (T2I) generative models still struggle to synthesize diverse images from a given prompt. This lack of diversity not only restricts user choice, but also risks amplifying societal biases. In this w... read more 
Computer Vision and Pattern Recognition

Structured Prototype-Guided Adaptation for EEG Foundation Models

arXiv Feb 19, 2026
Electroencephalography (EEG) foundation models (EFMs) have achieved strong performance under full fine-tuning but exhibit poor generalization when subject-level supervision is limited, a common constraint in real-world clinical settings. We show that... read more 
Machine Learning

EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection

arXiv Feb 19, 2026
Recent advances in foundation video generators such as Sora2, Veo3, and other commercial systems have produced highly realistic synthetic videos, exposing the limitations of existing detection methods that rely on shallow embedding trajectories, imag... read more 
Computer Vision and Pattern Recognition

Physics Encoded Spatial and Temporal Generative Adversarial Network for Tropical Cyclone Image Super-resolution

arXiv Feb 19, 2026
High-resolution satellite imagery is indispensable for tracking the genesis, intensification, and trajectory of tropical cyclones (TCs). However, existing deep learning-based super-resolution (SR) methods often treat satellite image sequences as gene... read more 
Computer Vision and Pattern Recognition
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