Artificial Intelligence Medical Compendium

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

Showing 60,341 to 60,350 of 228,072 articles

Weaknesses of Facial Emotion Recognition Systems

arXiv Jan 18, 2026
Emotion detection from faces is one of the machine learning problems needed for human-computer interaction. The variety of methods used is enormous, which motivated an in-depth review of articles and scientific studies. Three of the most interesting ... read more 
Computer Vision and Pattern Recognition cs.AI

Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants

arXiv Jan 18, 2026
Background: Pediatric dental disease remains one of the most prevalent and inequitable chronic health conditions worldwide. Although strong epidemiological evidence links oral health outcomes to socio-economic and demographic determinants, most artif... read more 
Machine Learning cs.AI

HOT-POT: Optimal Transport for Sparse Stereo Matching

arXiv Jan 18, 2026
Stereo vision between images faces a range of challenges, including occlusions, motion, and camera distortions, across applications in autonomous driving, robotics, and face analysis. Due to parameter sensitivity, further complications arise for ster... read more 
Computer Vision and Pattern Recognition math.OC

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees

arXiv Jan 18, 2026
Federated learning enables collaborative model training across distributed institutions without centralizing sensitive data; however, ensuring algorithmic fairness across heterogeneous data distributions while preserving privacy remains fundamentally... read more 
Cryptography and Security cs.CL cs.CV

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
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