Artificial Intelligence Medical Compendium

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

Showing 27,521 to 27,530 of 218,826 articles

Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models

arXiv Apr 23, 2026
Large Vision-Language Models (VLMs) are increasingly used to evaluate outputs of other models, for image-to-text (I2T) tasks such as visual question answering, and text-to-image (T2I) generation tasks. Despite this growing reliance, the reliability o... read more 
Computer Vision and Pattern Recognition cs.CL

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

arXiv Apr 23, 2026
Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indicators of prognosis and can influence treatment decisions. Common deep learning approaches to determine the predominant pattern rely on patch-level cl... read more 
Computer Vision and Pattern Recognition cs.AI

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

arXiv Apr 23, 2026
Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routine clinical use. Predicting spatial gene expression from routine hematoxylin and eosin (H&E) slide... read more 
Computer Vision and Pattern Recognition q-bio.QM

OmniFit: Multi-modal 3D Body Fitting via Scale-agnostic Dense Landmark Prediction

arXiv Apr 23, 2026
Fitting an underlying body model to 3D clothed human assets has been extensively studied, yet most approaches focus on either single-modal inputs such as point clouds or multi-view images alone, often requiring a known metric scale. This constraint i... read more 
Computer Vision and Pattern Recognition cs.GR

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

arXiv Apr 23, 2026
Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor-based circuits are particularly promising for RC, as their intrin... read more 
Neural and Evolutionary Computing cs.AI cs.AR cs.ET cs.LG

DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion

arXiv Apr 23, 2026
Advancing face morphing attack techniques is crucial to anticipate evolving threats and develop robust defensive mechanisms for identity verification systems. This work introduces DCMorph, a dual-stream diffusion-based morphing framework that simulta... read more 
Computer Vision and Pattern Recognition

DualSplat: Robust 3D Gaussian Splatting via Pseudo-Mask Bootstrapping from Reconstruction Failures

arXiv Apr 23, 2026
While 3D Gaussian Splatting (3DGS) achieves real-time photorealistic rendering, its performance degrades significantly when training images contain transient objects that violate multi-view consistency. Existing methods face a circular dependency: ac... read more 
Computer Vision and Pattern Recognition

Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation

arXiv Apr 23, 2026
Dataset condensation constructs compact synthetic datasets that retain the training utility of large real-world datasets, enabling efficient model development and potentially supporting downstream research in governed domains such as healthcare. Traj... read more 
Machine Learning

Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach

arXiv Apr 23, 2026
Denoising of periodic signals and accurate waveform estimation are core tasks across many signal processing domains, including speech, music, medical diagnostics, radio, and sonar. Although deep learning methods have recently shown performance improv... read more 
Machine Learning cs.AI eess.AS eess.SP

Causal Disentanglement for Full-Reference Image Quality Assessment

arXiv Apr 23, 2026
Existing deep network-based full-reference image quality assessment (FR-IQA) models typically work by performing pairwise comparisons of deep features from the reference and distorted images. In this paper, we approach this problem from a different p... read more 
Computer Vision and Pattern Recognition cs.AI
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