Artificial Intelligence Medical Compendium

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

Showing 42,141 to 42,150 of 223,853 articles

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging

arXiv Mar 13, 2026
Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-based testing can be burdensome for frequent assessment. The sclera contains superficial microvasculature that may exhibit diabetes related alterations... read more 
Image and Video Processing cs.CV

UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC

arXiv Mar 13, 2026
Virtual immunohistochemistry (IHC) staining from hematoxylin and eosin (H&E) images can accelerate diagnostics by providing preliminary molecular insight directly from routine sections, reducing the need for repeat sectioning when tissue is limited. ... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV

The COTe score: A decomposable framework for evaluating Document Layout Analysis models

arXiv Mar 13, 2026
Document Layout analysis (DLA), is the process by which a page is parsed into meaningful elements, often using machine learning models. Typically, the quality of a model is judged using general object detection metrics such as IoU, F1 or mAP. However... read more 
Computer Vision and Pattern Recognition

CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration

arXiv Mar 13, 2026
Robust point cloud registration is a fundamental task in 3D computer vision and geometric deep learning, essential for applications such as large-scale 3D reconstruction, augmented reality, and scene understanding. However, the performance of establi... read more 
Computer Vision and Pattern Recognition cs.AI

CognitionCapturerPro: Towards High-Fidelity Visual Decoding from EEG/MEG via Multi-modal Information and Asymmetric Alignment

arXiv Mar 13, 2026
Visual stimuli reconstruction from EEG remains challenging due to fidelity loss and representation shift. We propose CognitionCapturerPro, an enhanced framework that integrates EEG with multi-modal priors (images, text, depth, and edges) via collabor... read more 
Computer Vision and Pattern Recognition cs.AI

Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems

arXiv Mar 13, 2026
Multimodal recommender systems (MMRS) leverage images, text, and interaction signals to enrich item representations. However, recent alignment based MMRSs that enforce a unified embedding space often blur modality specific structures and exacerbate I... read more 
Information Retrieval cs.LG

SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking

arXiv Mar 13, 2026
Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns can be forged via inversion and regeneration attacks. Recent semantic-aware watermarking methods impro... read more 
Computer Vision and Pattern Recognition cs.CR cs.LG

SAP: Segment Any 4K Panorama

arXiv Mar 13, 2026
Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panoramas. In this paper, we introduce Segment Any 4K Panorama (SAP), a foun... read more 
Computer Vision and Pattern Recognition

SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion

arXiv Mar 13, 2026
Error detection is crucial in industrial training, healthcare, and assembly quality control. Most existing work assumes a single-view setting and cannot handle the practical case where a third-person (exo) demonstration is used to assess a first-pers... read more 
Computer Vision and Pattern Recognition

PVI: Plug-in Visual Injection for Vision-Language-Action Models

arXiv Mar 13, 2026
VLA architectures that pair a pretrained VLM with a flow-matching action expert have emerged as a strong paradigm for language-conditioned manipulation. Yet the VLM, optimized for semantic abstraction and typically conditioned on static visual observ... read more 
Computer Vision and Pattern Recognition cs.LG cs.RO
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