Artificial Intelligence Medical Compendium

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

Showing 57,501 to 57,510 of 227,388 articles

GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection

arXiv Jan 28, 2026
Multimodal sarcasm detection (MSD) aims to identify sarcasm within image-text pairs by modeling semantic incongruities across modalities. Existing methods often exploit cross-modal embedding misalignment to detect inconsistency but struggle when visu... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Trigger Optimization and Event Classification for Dark Matter Searches in the CYGNO Experiment Using Machine Learning

arXiv Jan 28, 2026
The CYGNO experiment employs an optical-readout Time Projection Chamber (TPC) to search for rare low-energy interactions using finely resolved scintillation images. While the optical readout provides rich topological information, it produces large, s... read more 
Instrumentation and Detectors cs.LG physics.data-an

Sparse clustering via the Deterministic Information Bottleneck algorithm

arXiv Jan 28, 2026
Cluster analysis relates to the task of assigning objects into groups which ideally present some desirable characteristics. When a cluster structure is confined to a subset of the feature space, traditional clustering techniques face unprecedented ch... read more 
Machine Learning cs.LG

Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability

arXiv Jan 28, 2026
Diffusion-based image generative models produce high-fidelity images through iterative denoising but remain vulnerable to memorization, where they unintentionally reproduce exact copies or parts of training images. Recent memorization detection metho... read more 
Machine Learning cs.AI cs.CV

FD-MAD: Frequency-Domain Residual Analysis for Face Morphing Attack Detection

arXiv Jan 28, 2026
Face morphing attacks present a significant threat to face recognition systems used in electronic identity enrolment and border control, particularly in single-image morphing attack detection (S-MAD) scenarios where no trusted reference is available.... read more 
Computer Vision and Pattern Recognition

A Multi-Camera Optical Tag Neuronavigation and AR Augmentation Framework for Non-Invasive Brain Stimulation

arXiv Jan 28, 2026
Accurate neuronavigation is essential for generating the intended effect with transcranial magnetic stimulation (TMS). Precise coil placement also directly influences stimulation efficacy. Traditional neuronavigation systems often rely on costly and ... read more 
Human-Computer Interaction

bi-modal textual prompt learning for vision-language models in remote sensing

arXiv Jan 28, 2026
Prompt learning (PL) has emerged as an effective strategy to adapt vision-language models (VLMs), such as CLIP, for downstream tasks under limited supervision. While PL has demonstrated strong generalization on natural image datasets, its transferabi... read more 
Computer Vision and Pattern Recognition

Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework

arXiv Jan 28, 2026
Recent multimodal large language models (MLLMs) have demonstrated strong capabilities in image quality assessment (IQA) tasks. However, adapting such large-scale models is computationally expensive and still relies on substantial Mean Opinion Score (... read more 
Computer Vision and Pattern Recognition cs.AI

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction

arXiv Jan 28, 2026
End-to-end perception and trajectory prediction from raw sensor data is one of the key capabilities for autonomous driving. Modular pipelines restrict information flow and can amplify upstream errors. Recent query-based, fully differentiable percepti... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis

arXiv Jan 28, 2026
The Cox Proportional Hazards (PH) model is widely used in survival analysis. Recently, artificial neural network (ANN)-based Cox-PH models have been developed. However, training these Cox models with high-dimensional features typically requires a sub... read more 
Machine Learning
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