Artificial Intelligence Medical Compendium

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

Showing 53,501 to 53,510 of 225,548 articles

DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching

arXiv Feb 5, 2026
While diffusion models have achieved great success in the field of video generation, this progress is accompanied by a rapidly escalating computational burden. Among the existing acceleration methods, Feature Caching is popular due to its training-fr... read more 
Computer Vision and Pattern Recognition cs.AI

Towards Segmenting the Invisible: An End-to-End Registration and Segmentation Framework for Weakly Supervised Tumour Analysis

arXiv Feb 5, 2026
Liver tumour ablation presents a significant clinical challenge: whilst tumours are clearly visible on pre-operative MRI, they are often effectively invisible on intra-operative CT due to minimal contrast between pathological and healthy tissue. This... read more 
Image and Video Processing cs.AI cs.CV cs.LG physics.med-ph

Phi-Former: A Pairwise Hierarchical Approach for Compound-Protein Interactions Prediction

arXiv Feb 5, 2026
Drug discovery remains time-consuming, labor-intensive, and expensive, often requiring years and substantial investment per drug candidate. Predicting compound-protein interactions (CPIs) is a critical component in this process, enabling the identifi... read more 
Artificial Intelligence

SOMA-1M: A Large-Scale SAR-Optical Multi-resolution Alignment Dataset for Multi-Task Remote Sensing

arXiv Feb 5, 2026
Synthetic Aperture Radar (SAR) and optical imagery provide complementary strengths that constitute the critical foundation for transcending single-modality constraints and facilitating cross-modal collaborative processing and intelligent interpretati... read more 
Computer Vision and Pattern Recognition

Feature points evaluation on omnidirectional vision with a photorealistic fisheye sequence -- A report on experiments done in 2014

arXiv Feb 5, 2026
What is this report: This is a scientific report, contributing with a detailed bibliography, a dataset which we will call now PFSeq for ''Photorealistic Fisheye Sequence'' and make available at https://doi.org/10. 57745/DYIVVU, and comprehensive expe... read more 
Computer Vision and Pattern Recognition

A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma

arXiv Feb 5, 2026
Artificial intelligence (AI)-enabled diagnostics in maxillofacial pathology require structured, high-quality multimodal datasets. However, existing resources provide limited ameloblastoma coverage and lack the format consistency needed for direct mod... read more 
Artificial Intelligence cs.CL

Generalization of Self-Supervised Vision Transformers for Protein Localization Across Microscopy Domains

arXiv Feb 5, 2026
Task-specific microscopy datasets are often too small to train deep learning models that learn robust feature representations. Self-supervised learning (SSL) can mitigate this by pretraining on large unlabeled datasets, but it remains unclear how wel... read more 
Computer Vision and Pattern Recognition

Generalization of Self-Supervised Vision Transformers for Protein Localization Across Microscopy Domains

arXiv Feb 5, 2026
Task-specific microscopy datasets are often too small to train deep learning models that learn robust feature representations. Self-supervised learning (SSL) can mitigate this by pretraining on large unlabeled datasets, but it remains unclear how wel... read more 
Computer Vision and Pattern Recognition

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation

arXiv Feb 5, 2026
Visual autoregressive (VAR) models generate images through next-scale prediction, naturally achieving coarse-to-fine, fast, high-fidelity synthesis mirroring human perception. In practice, this hierarchy can drift at inference time, as limited capaci... read more 
Computer Vision and Pattern Recognition

Logical Guidance for the Exact Composition of Diffusion Models

arXiv Feb 5, 2026
We propose LOGDIFF (Logical Guidance for the Exact Composition of Diffusion Models), a guidance framework for diffusion models that enables principled constrained generation with complex logical expressions at inference time. We study when exact sc... read more 
Machine Learning
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