Artificial Intelligence Medical Compendium

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

Showing 58,431 to 58,440 of 227,634 articles

BMDS-Net: A Bayesian Multi-Modal Deep Supervision Network for Robust Brain Tumor Segmentation

arXiv Jan 24, 2026
Accurate brain tumor segmentation from multi-modal magnetic resonance imaging (MRI) is a prerequisite for precise radiotherapy planning and surgical navigation. While recent Transformer-based models such as Swin UNETR have achieved impressive benchma... read more 
Computer Vision and Pattern Recognition q-bio.QM

FMIR, a foundation model-based Image Registration Framework for Robust Image Registration

arXiv Jan 24, 2026
Deep learning has revolutionized medical image registration by achieving unprecedented speeds, yet its clinical application is hindered by a limited ability to generalize beyond the training domain, a critical weakness given the typically small scale... read more 
Computer Vision and Pattern Recognition

Will It Zero-Shot?: Will It Zero-Shot?: Predicting Zero-Shot Classification Performance For Arbitrary Queries

arXiv Jan 24, 2026
Vision-Language Models like CLIP create aligned embedding spaces for text and images, making it possible for anyone to build a visual classifier by simply naming the classes they want to distinguish. However, a model that works well in one domain may... read more 
Computer Vision and Pattern Recognition

OTI: A Model-free and Visually Interpretable Measure of Image Attackability

arXiv Jan 24, 2026
Despite the tremendous success of neural networks, benign images can be corrupted by adversarial perturbations to deceive these models. Intriguingly, images differ in their attackability. Specifically, given an attack configuration, some images are e... read more 
Computer Vision and Pattern Recognition cs.LG

In-situ On-demand Digital Image Correlation: A New Data-rich Characterization Paradigm for Deformation and Damage Development in Solids

arXiv Jan 24, 2026
Digital image correlation (DIC) has become one of the most popular methods for deformation characterization in experimental mechanics. DIC is based on optical images taken during experimentation and post-test image processing. Its advantages include ... read more 
Image and Video Processing cond-mat.mtrl-sci cs.CV

TOSHFA: A Mobile VR-Based System for Pose-Guided Exercise Rehabilitation for Low Back Pain

arXiv Jan 24, 2026
Low back pain (LBP) is a pervasive global health challenge, affecting approximately 80% of adults and frequently progressing into chronic or recurrent episodes. While exercise therapy is a primary clinical intervention, traditional at-home programs s... read more 
Human-Computer Interaction

Saliency Driven Imagery Preprocessing for Efficient Compression -- Industrial Paper

arXiv Jan 24, 2026
The compression of satellite imagery remains an important research area as hundreds of terabytes of images are collected every day, which drives up storage and bandwidth costs. Although progress has been made in increasing the resolution of these sat... read more 
Computer Vision and Pattern Recognition

Correct-by-Construction Vision-based Pose Estimation using Geometric Generative Models

arXiv Jan 24, 2026
We consider the problem of vision-based pose estimation for autonomous systems. While deep neural networks have been successfully used for vision-based tasks, they inherently lack provable guarantees on the correctness of their output, which is cruci... read more 
Robotics

Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization

arXiv Jan 24, 2026
Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity and scarcity. Traditional augmentation improves robustness, but fails under substantial domain shifts.... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV

Old advice on multivariate calibration: still in force, but not always followed. A tutorial.

Analytica chimica acta Jan 24, 2026
BACKGROUND: A growing number of multivariate calibration protocols use deep learning for estimating target properties from spectra, without considering simpler alternatives such as partial least-squares (PLS) regression. In addition, rational analyse... read more 
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