Artificial Intelligence Medical Compendium

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

Showing 62,941 to 62,950 of 230,760 articles

Large-scale EM Benchmark for Multi-Organelle Instance Segmentation in the Wild

arXiv Jan 18, 2026
Accurate instance-level segmentation of organelles in electron microscopy (EM) is critical for quantitative analysis of subcellular morphology and inter-organelle interactions. However, current benchmarks, based on small, curated datasets, fail to ca... read more 
Computer Vision and Pattern Recognition

NeuralFur: Animal Fur Reconstruction From Multi-View Images

arXiv Jan 18, 2026
Reconstructing realistic animal fur geometry from images is a challenging task due to the fine-scale details, self-occlusion, and view-dependent appearance of fur. In contrast to human hairstyle reconstruction, there are also no datasets that can be ... read more 
Computer Vision and Pattern Recognition cs.GR

Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation

arXiv Jan 18, 2026
Medical Vision-language models (VLMs) have shown remarkable performances in various medical imaging domains such as histo\-pathology by leveraging pre-trained, contrastive models that exploit visual and textual information. However, histopathology im... read more 
Computer Vision and Pattern Recognition

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection

arXiv Jan 18, 2026
In remote sensing images, complex backgrounds, weak object signals, and small object scales make accurate detection particularly challenging, especially under low-quality imaging conditions. A common strategy is to integrate single-image super-resolu... read more 
Computer Vision and Pattern Recognition cs.LG

Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images

arXiv Jan 18, 2026
Magnetic Resonance Imaging (MRI) scans acquired from different scanners or institutions often suffer from domain shifts owing to variations in hardware, protocols, and acquisition parameters. This discrepancy degrades the performance of deep learning... read more 
Computer Vision and Pattern Recognition

XRefine: Attention-Guided Keypoint Match Refinement

arXiv Jan 18, 2026
Sparse keypoint matching is crucial for 3D vision tasks, yet current keypoint detectors often produce spatially inaccurate matches. Existing refinement methods mitigate this issue through alignment of matched keypoint locations, but they are typicall... read more 
Computer Vision and Pattern Recognition

BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images

arXiv Jan 18, 2026
Detecting faces in overhead images remains a significant challenge due to extreme scale variations and environmental clutter. To address this, we created the BirdsEye-RU dataset, a comprehensive collection of 2,978 images containing over eight thousa... read more 
Computer Vision and Pattern Recognition

Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem

arXiv Jan 18, 2026
We study the online centralized charging scheduling problem (OCCSP). In this problem, a central authority must decide, in real time, when to charge dynamically arriving electric vehicles (EVs), subject to capacity limits, with the objective of balanc... read more 
Machine Learning

PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception

arXiv Jan 18, 2026
We propose PISE, a physics-informed deep ghost imaging framework for low-bandwidth edge perception. By combining adjoint operator initialization with semantic guidance, PISE improves classification accuracy by 2.57% and reduces variance by 9x at 5% s... read more 
Computer Vision and Pattern Recognition eess.IV

Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie

arXiv Jan 18, 2026
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material design in ways previously unattainable. Driven by the accelerating pace of ... read more 
Materials Science cs.AI physics.comp-ph quant-ph
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