Artificial Intelligence Medical Compendium

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

Showing 60,541 to 60,550 of 228,072 articles

Anisotropic Tensor Deconvolution of Hyperspectral Images

arXiv Jan 16, 2026
Hyperspectral image (HSI) deconvolution is a challenging ill-posed inverse problem, made difficult by the data's high dimensionality.We propose a parameter-parsimonious framework based on a low-rank Canonical Polyadic Decomposition (CPD) of the entir... read more 
Image and Video Processing cs.CV cs.LG eess.SP

SemAlign: Language Guided Semi-supervised Domain Generalization

arXiv Jan 16, 2026
Semi-supervised Domain Generalization (SSDG) addresses the challenge of generalizing to unseen target domains with limited labeled data. Existing SSDG methods highlight the importance of achieving high pseudo-labeling (PL) accuracy and preventing mod... read more 
Computer Vision and Pattern Recognition

SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models

arXiv Jan 16, 2026
Visual Foundation Models (VFMs), such as DINO and CLIP, excel in semantic understanding of images but exhibit limited spatial reasoning capabilities, which limits their applicability to embodied systems. As a result, recent work incorporates some 3D ... read more 
Computer Vision and Pattern Recognition cs.LG

Early Linguistic Pattern of Anxiety from Social Media Using Interpretable Linguistic Features: A Multi-Faceted Validation Study with Author-Disjoint Evaluation

arXiv Jan 16, 2026
Anxiety affects hundreds of millions of individuals globally, yet large-scale screening remains limited. Social media language provides an opportunity for scalable detection, but current models often lack interpretability, keyword-robustness validati... read more 
Computation and Language cs.AI cs.LG

Sum Estimation via Vector Similarity Search

arXiv Jan 16, 2026
Semantic embeddings to represent objects such as image, text and audio are widely used in machine learning and have spurred the development of vector similarity search methods for retrieving semantically related objects. In this work, we study the si... read more 
Data Structures and Algorithms

Cross-Domain Object Detection Using Unsupervised Image Translation

arXiv Jan 16, 2026
Unsupervised domain adaptation for object detection addresses the adaption of detectors trained in a source domain to work accurately in an unseen target domain. Recently, methods approaching the alignment of the intermediate features proven to be pr... read more 
Computer Vision and Pattern Recognition

MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization

arXiv Jan 16, 2026
Achieving robust generalization under distribution shift remains a central challenge in conditional generative modeling, as existing conditional flow-based methods often struggle to extrapolate beyond the training conditions. We introduce MixFlow, a ... read more 
Machine Learning cs.CV eess.IV

Karhunen-Loève Expansion-Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation

arXiv Jan 16, 2026
Accurate segmentation of brain tumors is essential for clinical diagnosis and treatment planning. Deep learning is currently the state-of-the-art for brain tumor segmentation, yet it requires either large datasets or extensive computational resources... read more 
Quantitative Methods cs.CV cs.LG eess.IV

Graph Neural Network Reveals the Local Cortical Morphology of Brain Aging in Normal Cognition and Alzheimers Disease

arXiv Jan 16, 2026
Estimating brain age (BA) from T1-weighted magnetic resonance images (MRIs) provides a useful approach to map the anatomic features of brain senescence. Whereas global BA (GBA) summarizes overall brain health, local BA (LBA) can reveal spatially loca... read more 
Neurons and Cognition eess.IV q-bio.QM

Classification of Chest XRay Diseases through image processing and analysis techniques

arXiv Jan 16, 2026
Multi-Classification Chest X-Ray Images are one of the most prevalent forms of radiological examination used for diagnosing thoracic diseases. In this study, we offer a concise overview of several methods employed for tackling this task, including De... read more 
Computer Vision and Pattern Recognition
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