Artificial Intelligence Medical Compendium

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

Showing 59,611 to 59,620 of 228,014 articles

RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation

arXiv Jan 21, 2026
We introduce RANDSMAPs (Random-feature/multi-scale neural decoders with Mass Preservation), numerical analysis-informed, explainable neural decoders designed to explicitly respect conservation laws when solving the challenging ill-posed pre-image pro... read more 
Numerical Analysis cs.LG

UniRoute: Unified Routing Mixture-of-Experts for Modality-Adaptive Remote Sensing Change Detection

arXiv Jan 21, 2026
Current remote sensing change detection (CD) methods mainly rely on specialized models, which limits the scalability toward modality-adaptive Earth observation. For homogeneous CD, precise boundary delineation relies on fine-grained spatial cues and ... read more 
Computer Vision and Pattern Recognition

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex

arXiv Jan 21, 2026
Patch-based methods are widely used in 3D medical image segmentation to address memory constraints in processing high-resolution volumetric data. However, these approaches often neglect the patch's location within the global volume, which can limit s... read more 
Computer Vision and Pattern Recognition

Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes

arXiv Jan 21, 2026
Shape descriptors, i.e., per-vertex features of 3D meshes or point clouds, are fundamental to shape analysis. Historically, various handcrafted geometry-aware descriptors and feature refinement techniques have been proposed. Recently, several studies... read more 
Computer Vision and Pattern Recognition

Statistical Learning Theory for Distributional Classification

arXiv Jan 21, 2026
In supervised learning with distributional inputs in the two-stage sampling setup, relevant to applications like learning-based medical screening or causal learning, the inputs (which are probability distributions) are not accessible in the learning ... read more 
Machine Learning math.ST

Multimodal system for skin cancer detection

arXiv Jan 21, 2026
Melanoma detection is vital for early diagnosis and effective treatment. While deep learning models on dermoscopic images have shown promise, they require specialized equipment, limiting their use in broader clinical settings. This study introduces a... read more 
Computer Vision and Pattern Recognition cs.AI

MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images

arXiv Jan 21, 2026
Microtubules are cytoskeletal filaments that play essential roles in many cellular processes and are key therapeutic targets in several diseases. Accurate segmentation of microtubule networks is critical for studying their organization and dynamics b... read more 
Computer Vision and Pattern Recognition cs.LG

ExoMiner++ 2.0: Vetting TESS Full-Frame Image Transit Signals

arXiv Jan 21, 2026
The Transiting Exoplanet Survey Satellite (TESS) Full-Frame Images (FFIs) provide photometric time series for millions of stars, enabling transit searches beyond the limited set of pre-selected 2-minute targets. However, FFIs present additional chall... read more 
Earth and Planetary Astrophysics astro-ph.IM cs.LG

TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models

arXiv Jan 21, 2026
Time alters the visual appearance of entities in our world, like objects, places, and animals. Thus, for accurately generating contextually-relevant images, knowledge and reasoning about time can be crucial (e.g., for generating a landscape in spring... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Multimodal Rumor Detection Enhanced by External Evidence and Forgery Features

arXiv Jan 21, 2026
Social media increasingly disseminates information through mixed image text posts, but rumors often exploit subtle inconsistencies and forged content, making detection based solely on post content difficult. Deep semantic mismatch rumors, which super... read more 
Machine Learning
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