Artificial Intelligence Medical Compendium

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

Showing 53,571 to 53,580 of 225,548 articles

Context Determines Optimal Architecture in Materials Segmentation

arXiv Feb 4, 2026
Segmentation architectures are typically benchmarked on single imaging modalities, obscuring deployment-relevant performance variations: an architecture optimal for one modality may underperform on another. We present a cross-modal evaluation framewo... read more 
Computer Vision and Pattern Recognition

Improving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity

arXiv Feb 4, 2026
3D medical imaging is in high demand and essential for clinical diagnosis and scientific research. Currently, diffusion models (DMs) have become an effective tool for medical imaging reconstruction thanks to their ability to learn rich, high-quality ... read more 
Computer Vision and Pattern Recognition cs.AI eess.IV

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models

arXiv Feb 4, 2026
State Space Models (SSMs) have emerged as efficient alternatives to attention for vision tasks, offering lineartime sequence processing with competitive accuracy. Vision SSMs, however, require serializing 2D images into 1D token sequences along a pre... read more 
Computer Vision and Pattern Recognition

Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution

arXiv Feb 4, 2026
While deep learning-based super-resolution (SR) methods have shown impressive outcomes with synthetic degradation scenarios such as bicubic downsampling, they frequently struggle to perform well on real-world images that feature complex, nonlinear de... read more 
Computer Vision and Pattern Recognition

An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation

arXiv Feb 4, 2026
Accurate segmentation of MRI brain images is essential for image analysis, diagnosis of neuro-logical disorders and medical image computing. In the deep learning approach, the convolutional neural networks (CNNs), especially UNet, are widely applied ... read more 
Computer Vision and Pattern Recognition

An Improved Boosted DC Algorithm for Nonsmooth Functions with Applications in Image Recovery

arXiv Feb 4, 2026
We propose a new approach to perform the boosted difference of convex functions algorithm (BDCA) on non-smooth and non-convex problems involving the difference of convex (DC) functions. The recently proposed BDCA uses an extrapolation step from the p... read more 
Optimization and Control cs.CV

ACIL: Active Class Incremental Learning for Image Classification

arXiv Feb 4, 2026
Continual learning (or class incremental learning) is a realistic learning scenario for computer vision systems, where deep neural networks are trained on episodic data, and the data from previous episodes are generally inaccessible to the model. Exi... read more 
Computer Vision and Pattern Recognition cs.AI

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning

arXiv Feb 4, 2026
Traditional diagnosis of aortic valve disease relies on echocardiography, but its cost and required expertise limit its use in large-scale early screening. Photoplethysmography (PPG) has emerged as a promising screening modality due to its widespread... read more 
Signal Processing cs.LG

SkeletonGaussian: Editable 4D Generation through Gaussian Skeletonization

arXiv Feb 4, 2026
4D generation has made remarkable progress in synthesizing dynamic 3D objects from input text, images, or videos. However, existing methods often represent motion as an implicit deformation field, which limits direct control and editability. To addre... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR

Beyond Static Cropping: Layer-Adaptive Visual Localization and Decoding Enhancement

arXiv Feb 4, 2026
Large Vision-Language Models (LVLMs) have advanced rapidly by aligning visual patches with the text embedding space, but a fixed visual-token budget forces images to be resized to a uniform pretraining resolution, often erasing fine-grained details a... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL
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