Artificial Intelligence Medical Compendium

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

Showing 64,251 to 64,260 of 231,309 articles

See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval

arXiv Jan 14, 2026
Recent advances in Multimodal Large Language Models (MLLMs) have improved image recognition and reasoning, but video-related tasks remain challenging due to memory constraints from dense frame processing. Existing Video Moment Retrieval (VMR) methodo... read more 
Computer Vision and Pattern Recognition

Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process

arXiv Jan 14, 2026
With advances in artificial intelligence, image processing has gained significant interest. Image super-resolution is a vital technology closely related to real-world applications, as it enhances the quality of existing images. Since enhancing fine d... read more 
Computer Vision and Pattern Recognition

Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification

arXiv Jan 14, 2026
Osteosarcoma (OS) is an aggressive primary bone malignancy. Accurate histopathological assessment of viable versus non-viable tumor regions after neoadjuvant chemotherapy is critical for prognosis and treatment planning, yet manual evaluation remains... read more 
Computer Vision and Pattern Recognition cs.AI

Do Transformers Understand Ancient Roman Coin Motifs Better than CNNs?

arXiv Jan 14, 2026
Automated analysis of ancient coins has the potential to help researchers extract more historical insights from large collections of coins and to help collectors understand what they are buying or selling. Recent research in this area has shown promi... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue

arXiv Jan 14, 2026
In optoacoustic imaging, recovering the absorption coefficients of tissue by inverting the light transport remains a challenging problem. Improvements in solving this problem can greatly benefit the clinical value of optoacoustic imaging. Existing va... read more 
Machine Learning physics.med-ph

PrivLEX: Detecting legal concepts in images through Vision-Language Models

arXiv Jan 14, 2026
We present PrivLEX, a novel image privacy classifier that grounds its decisions in legally defined personal data concepts. PrivLEX is the first interpretable privacy classifier aligned with legal concepts that leverages the recognition capabilities o... read more 
Computer Vision and Pattern Recognition

High-fidelity lunar topographic reconstruction across diverse terrain and illumination environments using deep learning

arXiv Jan 14, 2026
Topographic models are essential for characterizing planetary surfaces and for inferring underlying geological processes. Nevertheless, meter-scale topographic data remain limited, which constrains detailed planetary investigations, even for the Moon... read more 
Earth and Planetary Astrophysics cs.LG

Towards Robust Cross-Dataset Object Detection Generalization under Domain Specificity

arXiv Jan 14, 2026
Object detectors often perform well in-distribution, yet degrade sharply on a different benchmark. We study cross-dataset object detection (CD-OD) through a lens of setting specificity. We group benchmarks into setting-agnostic datasets with diverse ... read more 
Computer Vision and Pattern Recognition cs.LG

V-DPM: 4D Video Reconstruction with Dynamic Point Maps

arXiv Jan 14, 2026
Powerful 3D representations such as DUSt3R invariant point maps, which encode 3D shape and camera parameters, have significantly advanced feed forward 3D reconstruction. While point maps assume static scenes, Dynamic Point Maps (DPMs) extend this con... read more 
Computer Vision and Pattern Recognition

Class Adaptive Conformal Training

arXiv Jan 14, 2026
Deep neural networks have achieved remarkable success across a variety of tasks, yet they often suffer from unreliable probability estimates. As a result, they can be overconfident in their predictions. Conformal Prediction (CP) offers a principled f... read more 
Machine Learning cs.CV
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