Artificial Intelligence Medical Compendium

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

Showing 51,401 to 51,410 of 225,182 articles

Dynamic Frequency Modulation for Controllable Text-driven Image Generation

arXiv Feb 11, 2026
The success of text-guided diffusion models has established a new image generation paradigm driven by the iterative refinement of text prompts. However, modifying the original text prompt to achieve the expected semantic adjustments often results in ... read more 
Computer Vision and Pattern Recognition

AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes

arXiv Feb 11, 2026
Background: Automated podocyte foot process quantification is vital for kidney research, but the established "Automatic Morphological Analysis of Podocytes" (AMAP) method is hindered by high computational demands, a lack of a user interface, and Linu... read more 
Computer Vision and Pattern Recognition

TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning

arXiv Feb 11, 2026
Visual Chain-of-Thought (VCoT) has emerged as a promising paradigm for enhancing multimodal reasoning by integrating visual perception into intermediate reasoning steps. However, existing VCoT approaches are largely confined to static scenarios and s... read more 
Computer Vision and Pattern Recognition cs.AI

OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL

arXiv Feb 11, 2026
Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle the interleaved text, images, and videos prevalent in real-world misinformation. To bridge this gap, this paper targets to develop a unified fra... read more 
Computer Vision and Pattern Recognition cs.AI

OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL

arXiv Feb 11, 2026
Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle the interleaved text, images, and videos prevalent in real-world misinformation. To bridge this gap, this paper targets to develop a unified fra... read more 
Computer Vision and Pattern Recognition cs.AI

AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models

arXiv Feb 11, 2026
Vision-Language-Action (VLA) models have recently achieved remarkable progress in robotic perception and control, yet most existing approaches primarily rely on VLM trained using 2D images, which limits their spatial understanding and action groundin... read more 
Computer Vision and Pattern Recognition cs.AI

A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography

arXiv Feb 11, 2026
The reconstruction of X-rays CT images from sparse or limited-angle geometries is a highly challenging task. The lack of data typically results in artifacts in the reconstructed image and may even lead to object distortions. For this reason, the use ... read more 
Computer Vision and Pattern Recognition cs.AI

Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning

arXiv Feb 11, 2026
Super-resolution (SR) applied to real-world low-resolution (LR) images often results in complex, irregular degradations that stem from the inherent complexity of natural scene acquisition. In contrast to SR artifacts arising from synthetic LR images ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data

arXiv Feb 11, 2026
Contrastive learning has demonstrated great success in representation learning, especially for image classification tasks. However, there is still a shortage in studies targeting regression tasks, and more specifically applications on hyperspectral d... read more 
Computer Vision and Pattern Recognition cs.LG

Predicting integers from continuous parameters

arXiv Feb 11, 2026
We study the problem of predicting numeric labels that are constrained to the integers or to a subrange of the integers. For example, the number of up-votes on social media posts, or the number of bicycles available at a public rental station. While ... read more 
Machine Learning
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