Artificial Intelligence Medical Compendium

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

Showing 26,741 to 26,750 of 218,283 articles

Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission

arXiv Apr 24, 2026
Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (DL)-based joint source-channel coding (JSCC) schemes to reduce computational complexity. However, a systematic investigation of the layerwise and ratio... read more 
Image and Video Processing cs.CV

A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency

arXiv Apr 24, 2026
Clinical risk prediction using longitudinal medical data supports individualized care. Self-supervised foundation models have emerged as a promising approach for leveraging large-scale unlabeled healthcare records. In natural language processing, sca... read more 
Machine Learning

Thermal background reduction for mid-infrared imaging by low-rank background and sparse point-source modelling

arXiv Apr 24, 2026
Mid-infrared astronomy from the ground faces critical challenges in accurately detecting and quantifying sources due to the dominant spatially and time-variable background noise. Moreover, chopping and nodding, the traditional methods for dealing wit... read more 
Instrumentation and Methods for Astrophysics cs.CV

HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos

arXiv Apr 24, 2026
Transrectal ultrasound (TRUS) imaging is a cost-effective and non-invasive modality widely used in the diagnosis of prostate cancer. The computer-aided diagnosis (CAD) relying on TRUS images has been extensively investigated recently. Compared to sta... read more 
Computer Vision and Pattern Recognition

Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition

arXiv Apr 24, 2026
Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasing caused by irrelevant regions and inefficient re-ranking due to rigid... read more 
Computer Vision and Pattern Recognition

SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments

arXiv Apr 24, 2026
Multimodal large language models (MLLMs) have advanced static visual--spatial reasoning, yet they often fail to preserve long-horizon spatial coherence in embodied settings where beliefs must be continuously revised from egocentric observations under... read more 
Computer Vision and Pattern Recognition

Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control

arXiv Apr 24, 2026
Graph Transformers can mix information globally, but this flexibility also creates failure modes: some tasks require long-range communication while others are better served by local interaction. We study this through a synthetic node-classification b... read more 
Machine Learning cs.AI

All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams

arXiv Apr 24, 2026
Disciplines such as business process management and process mining aid organizations by discovering insights about processes on the basis of recorded event data. However, an obstacle to process analysis is data multi-modality: for instance, data in v... read more 
Computer Vision and Pattern Recognition cs.LG

Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples

arXiv Apr 24, 2026
Neuron labeling assigns textual descriptions to internal units of deep networks. Existing approaches typically rely on highly activating examples, often yielding broad or misleading labels by focusing on dominant but incidental visual factors. Prior ... read more 
Computer Vision and Pattern Recognition cs.LG

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding

arXiv Apr 24, 2026
Although Multimodal Large Language Models (MLLMs) have advanced rapidly, they still face notable challenges in fine-grained multi-image understanding, often exhibiting spatial hallucination, attention leakage, and failures in object constancy. In add... read more 
Computer Vision and Pattern Recognition cs.AI
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