Artificial Intelligence Medical Compendium

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

Showing 30,261 to 30,270 of 220,100 articles

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

arXiv Apr 16, 2026
Transformer-based detectors have advanced small-object detection, but they often remain inefficient and vulnerable to background-induced query noise, which motivates deep decoders to refine low-quality queries. We present HELP (Heatmap-guided Embeddi... read more 
Computer Vision and Pattern Recognition

Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography

arXiv Apr 16, 2026
Echocardiography is a widely used modality for cardiac assessment due to its non-invasive and cost-effective nature, but the sparse and heterogeneous spatiotemporal views of the heart pose distinct challenges. Existing masked autoencoder (MAE) approa... read more 
Computer Vision and Pattern Recognition cs.LG

KVNN: Learnable Multi-Kernel Volterra Neural Networks

arXiv Apr 16, 2026
Higher-order learning is fundamentally rooted in exploiting compositional features. It clearly hinges on enriching the representation by more elaborate interactions of the data which, in turn, tends to increase the model complexity of conventional la... read more 
Computer Vision and Pattern Recognition

OmniLight: One Model to Rule All Lighting Conditions

arXiv Apr 16, 2026
Adverse lighting conditions, such as cast shadows and irregular illumination, pose significant challenges to computer vision systems by degrading visibility and color fidelity. Consequently, effective shadow removal and ALN are critical for restoring... read more 
Computer Vision and Pattern Recognition

An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation

arXiv Apr 16, 2026
Recent work has shown that diffusion models trained with the denoising score matching (DSM) objective often violate the Fokker--Planck (FP) equation that governs the evolution of the true data density. Directly penalizing these deviations in the obje... read more 
Computer Vision and Pattern Recognition cs.LG

VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models

arXiv Apr 16, 2026
Visual token pruning methods effectively mitigate the quadratic computational growth caused by processing high-resolution images and video frames in vision-language models (VLMs). However, existing approaches rely on predefined pruning configurations... read more 
Computer Vision and Pattern Recognition cs.AI

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events

arXiv Apr 16, 2026
Machine learning in high-stakes domains such as healthcare requires not only strong predictive performance but also reliable uncertainty quantification (UQ) to support human oversight. Multi-label text classification (MLTC) is a central task in this ... read more 
Computation and Language

A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning

arXiv Apr 16, 2026
This paper investigates continuous-time and discrete-time firing-rate and Hopfield recurrent neural networks (RNNs), with applications in nonlinear control design and implicit deep learning. First, we introduce a nonlinear separation principle that g... read more 
Systems and Control cs.LG math.OC

TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens

arXiv Apr 16, 2026
In this work, we revisit several key design choices of modern Transformer-based approaches for feed-forward 3D Gaussian Splatting (3DGS) prediction. We argue that the common practice of regressing Gaussian means as depths along camera rays is subopti... read more 
Computer Vision and Pattern Recognition

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation

arXiv Apr 16, 2026
Reliable uncertainty estimation is critical for medical image segmentation, where automated contours feed downstream quantification and clinical decision support. Many strong uncertainty methods require repeated inference, while efficient single-forw... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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