Artificial Intelligence Medical Compendium

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

Showing 44,691 to 44,700 of 224,055 articles

Layer by layer, module by module: Choose both for optimal OOD probing of ViT

arXiv Mar 5, 2026
Recent studies have observed that intermediate layers of foundation models often yield more discriminative representations than the final layer. While initially attributed to autoregressive pretraining, this phenomenon has also been identified in mod... read more 
Computer Vision and Pattern Recognition cs.LG stat.ML

Bayesian Supervised Causal Clustering

arXiv Mar 5, 2026
Finding patient subgroups with similar characteristics is crucial for personalized decision-making in various disciplines such as healthcare and policy evaluation. While most existing approaches rely on unsupervised clustering methods, there is a gro... read more 
Machine Learning cs.LG

Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation

arXiv Mar 5, 2026
Nowadays, an increasing number of works fuse LiDAR and RGB data in the bird's-eye view (BEV) space for 3D object detection in autonomous driving systems. However, existing methods suffer from over-reliance on the LiDAR branch, with insufficient explo... read more 
Computer Vision and Pattern Recognition

Frequency-Aware Error-Bounded Caching for Accelerating Diffusion Transformers

arXiv Mar 5, 2026
Diffusion Transformers (DiTs) have emerged as the dominant architecture for high-quality image and video generation, yet their iterative denoising process incurs substantial computational cost during inference. Existing caching methods accelerate DiT... read more 
Computer Vision and Pattern Recognition

How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features

arXiv Mar 5, 2026
In clinical prediction settings the importance of a high-dimensional feature like genomics is often assessed by evaluating the change in predictive performance when adding it to a set of traditional clinical variables. This approach is questionable, ... read more 
Machine Learning cs.LG

Dark3R: Learning Structure from Motion in the Dark

arXiv Mar 5, 2026
We introduce Dark3R, a framework for structure from motion in the dark that operates directly on raw images with signal-to-noise ratios (SNRs) below $-4$ dB -- a regime where conventional feature- and learning-based methods break down. Our key insigh... read more 
Computer Vision and Pattern Recognition

Video-based Locomotion Analysis for Fish Health Monitoring

arXiv Mar 5, 2026
Monitoring the health conditions of fish is essential, as it enables the early detection of disease, safeguards animal welfare, and contributes to sustainable aquaculture practices. Physiological and pathological conditions of cultivated fish can be ... read more 
Computer Vision and Pattern Recognition

An interpretable prototype parts-based neural network for medical tabular data

arXiv Mar 5, 2026
The ability to interpret machine learning model decisions is critical in such domains as healthcare, where trust in model predictions is as important as their accuracy. Inspired by the development of prototype parts-based deep neural networks in comp... read more 
Machine Learning

RelaxFlow: Text-Driven Amodal 3D Generation

arXiv Mar 5, 2026
Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation alone is often insufficient to determine object category. In this work, we formalize text-driven amodal 3D generation, where text prompts steer the co... read more 
Computer Vision and Pattern Recognition cs.AI

NaiLIA: Multimodal Nail Design Retrieval Based on Dense Intent Descriptions and Palette Queries

arXiv Mar 5, 2026
We focus on the task of retrieving nail design images based on dense intent descriptions, which represent multi-layered user intent for nail designs. This is challenging because such descriptions specify unconstrained painted elements and pre-manufac... read more 
Computer Vision and Pattern Recognition
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