Artificial Intelligence Medical Compendium

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

Showing 27,511 to 27,520 of 218,826 articles

Relocation of compact sets in $\mathbb{R}^n$ by diffeomorphisms and linear separability of datasets in $\mathbb{R}^n$

arXiv Apr 23, 2026
Relocation of compact sets in an $n$-dimensional manifold by self-diffeomorphism is of its own interest as well as significant potential applications to data classification in data science. This paper presents a theory for relocating a finite number ... read more 
Machine Learning

VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought

arXiv Apr 23, 2026
The advancement of Large Vision-Language Models (LVLMs) requires precise local region-based reasoning that faithfully grounds the model's logic in actual visual evidence. However, existing datasets face limitations in scalability due to extensive man... read more 
Computer Vision and Pattern Recognition cs.AI

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images

arXiv Apr 23, 2026
We present S1-VL, a multimodal reasoning model for scientific domains that natively supports two complementary reasoning paradigms: Scientific Reasoning, which relies on structured chain-of-thought, and Thinking-with-Images, which enables the model t... read more 
Computer Vision and Pattern Recognition

Pre-process for segmentation task with nonlinear diffusion filters

arXiv Apr 23, 2026
This paper deals with the case of using nonlinear diffusion filters to obtain piecewise constant images as a previous process for segmentation techniques. We first show an intrinsic formulation for the nonlinear diffusion equation to provide some d... read more 
Computer Vision and Pattern Recognition

UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagery

arXiv Apr 23, 2026
Ultra-High-Resolution (UHR) imagery has become essential for modern remote sensing, offering unprecedented spatial coverage. However, detecting small objects in such vast scenes presents a critical dilemma: retaining the original resolution for small... read more 
Computer Vision and Pattern Recognition

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution

arXiv Apr 23, 2026
Recent advancements in visual autoregressive models (VAR) have demonstrated their effectiveness in image generation, highlighting their potential for real-world image super-resolution (Real-ISR). However, adapting VAR for ISR presents critical challe... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation

arXiv Apr 23, 2026
Deepfake technologies have rapidly advanced with modern generative AI, and face swapping in particular poses serious threats to privacy and digital security. Existing proactive defenses mostly rely on pixel-level perturbations, which are ineffective ... read more 
Computer Vision and Pattern Recognition

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms

arXiv Apr 23, 2026
In the treatment of complex diseases, treatment regimens using a single drug often yield limited efficacy and can lead to drug resistance. In contrast, combination drug therapies can significantly improve therapeutic outcomes through synergistic effe... read more 
Machine Learning cs.AI

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts

arXiv Apr 23, 2026
Nowadays, visual data forgery detection plays an increasingly important role in social and economic security with the rapid development of generative models. Existing face forgery detectors still can't achieve satisfactory performance because of poor... read more 
Computer Vision and Pattern Recognition

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection

arXiv Apr 23, 2026
In real-world scenarios, continual changes in weather, illumination, and imaging conditions cause significant domain shifts, leading detectors trained on a single source domain to degrade severely in unseen environments. Existing single-domain genera... read more 
Computer Vision and Pattern Recognition
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