Artificial Intelligence Medical Compendium

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

Showing 47,751 to 47,760 of 224,199 articles

Aesthetic Camera Viewpoint Suggestion with 3D Aesthetic Field

arXiv Feb 23, 2026
The aesthetic quality of a scene depends strongly on camera viewpoint. Existing approaches for aesthetic viewpoint suggestion are either single-view adjustments, predicting limited camera adjustments from a single image without understanding scene ge... read more 
Computer Vision and Pattern Recognition

Selecting Optimal Variable Order in Autoregressive Ising Models

arXiv Feb 23, 2026
Autoregressive models enable tractable sampling from learned probability distributions, but their performance critically depends on the variable ordering used in the factorization via complexities of the resulting conditional distributions. We propos... read more 
Machine Learning cs.LG

CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation

arXiv Feb 23, 2026
Recent vision-language models (VLMs) such as CLIP demonstrate impressive cross-modal reasoning, extending beyond images to 3D perception. Yet, these models remain fragile under domain shifts, especially when adapting from synthetic to real-world poin... read more 
Computer Vision and Pattern Recognition

SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images

arXiv Feb 23, 2026
The rapid advancement of generative models has made the detection of AI-generated images a critical challenge for both research and society. Recent works have shown that most state-of-the-art fake image detection methods overfit to their training dat... read more 
Computer Vision and Pattern Recognition

gQIR: Generative Quanta Image Reconstruction

arXiv Feb 23, 2026
Capturing high-quality images from only a few detected photons is a fundamental challenge in computational imaging. Single-photon avalanche diode (SPAD) sensors promise high-quality imaging in regimes where conventional cameras fail, but raw \emph{qu... read more 
Computer Vision and Pattern Recognition

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation

arXiv Feb 23, 2026
Medical image segmentation remains challenging due to limited annotations for training, ambiguous anatomical features, and domain shifts. While vision-language models such as CLIP offer strong cross-modal representations, their potential for dense, t... read more 
Computer Vision and Pattern Recognition cs.CL

In Defense of Cosine Similarity: Normalization Eliminates the Gauge Freedom

arXiv Feb 23, 2026
Steck, Ekanadham, and Kallus [arXiv:2403.05440] demonstrate that cosine similarity of learned embeddings from matrix factorization models can be rendered arbitrary by a diagonal ``gauge'' matrix $D$. Their result is correct and important for practiti... read more 
Machine Learning

Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation

arXiv Feb 23, 2026
U-Net architectures have been instrumental in advancing biomedical image segmentation (BIS) but often struggle with capturing long-range information. One reason is the conventional down-sampling techniques that prioritize computational efficiency at ... read more 
Computer Vision and Pattern Recognition cs.AI

Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy

arXiv Feb 23, 2026
Domain adaptive segmentation (DAS) is a promising paradigm for delineating intracellular structures from various large-scale electron microscopy (EM) without incurring extensive annotated data in each domain. However, the prevalent unsupervised domai... read more 
Computer Vision and Pattern Recognition

Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images

arXiv Feb 23, 2026
Hepatocellular Carcinoma diagnosis relies heavily on the interpretation of gigapixel Whole Slide Images. However, current computational approaches are constrained by fixed-resolution processing mechanisms and inefficient feature aggregation, which in... read more 
Computer Vision and Pattern Recognition
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