Artificial Intelligence Medical Compendium

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

Showing 62,201 to 62,210 of 230,319 articles

Soft Tail-dropping for Adaptive Visual Tokenization

arXiv Jan 20, 2026
We present Soft Tail-dropping Adaptive Tokenizer (STAT), a 1D discrete visual tokenizer that adaptively chooses the number of output tokens per image according to its structural complexity and level of detail. STAT encodes an image into a sequence of... read more 
Computer Vision and Pattern Recognition

OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfer

arXiv Jan 20, 2026
Videos convey richer information than images or text, capturing both spatial and temporal dynamics. However, most existing video customization methods rely on reference images or task-specific temporal priors, failing to fully exploit the rich spatio... read more 
Computer Vision and Pattern Recognition

LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCR

arXiv Jan 20, 2026
We present \textbf{LightOnOCR-2-1B}, a 1B-parameter end-to-end multilingual vision--language model that converts document images (e.g., PDFs) into clean, naturally ordered text without brittle OCR pipelines. Trained on a large-scale, high-quality dis... read more 
Computer Vision and Pattern Recognition

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

arXiv Jan 20, 2026
Models for image representation learning are typically designed for either recognition or generation. Various forms of contrastive learning help models learn to convert images to embeddings that are useful for classification, detection, and segmentat... read more 
Computer Vision and Pattern Recognition

Self-Supervised Score-Based Despeckling for SAR Imagery via Log-Domain Transformation

arXiv Jan 20, 2026
The speckle noise inherent in Synthetic Aperture Radar (SAR) imagery significantly degrades image quality and complicates subsequent analysis. Given that SAR speckle is multiplicative and Gamma-distributed, effectively despeckling SAR imagery remains... read more 
Image and Video Processing cs.AI cs.CV

Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition

arXiv Jan 20, 2026
Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and surgical navigation. Traditional methods often rely on iterative optimiz... read more 
Image and Video Processing cs.CV

Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation

arXiv Jan 20, 2026
Image segmentation is pivotal in medical image analysis, facilitating clinical diagnosis, treatment planning, and disease evaluation. Deep learning has significantly advanced automatic segmentation methodologies by providing superior modeling capabil... read more 
Image and Video Processing cs.CV

DiSPA: Differential Substructure-Pathway Attention for Drug Response Prediction

arXiv Jan 20, 2026
Accurate prediction of drug response in precision medicine requires models that capture how specific chemical substructures interact with cellular pathway states. However, most existing deep learning approaches treat chemical and transcriptomic modal... read more 
Machine Learning cs.AI

MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution

arXiv Jan 20, 2026
Motivation: Developing high-performing bioinformatics models typically requires repeated cycles of hypothesis formulation, architectural redesign, and empirical validation, making progress slow, labor-intensive, and difficult to reproduce. Although r... read more 
Multiagent Systems cs.LG

Large-Scale Label Quality Assessment for Medical Segmentation via a Vision-Language Judge and Synthetic Data

arXiv Jan 20, 2026
Large-scale medical segmentation datasets often combine manual and pseudo-labels of uneven quality, which can compromise training and evaluation. Low-quality labels may hamper performance and make the model training less robust. To address this issue... read more 
Computer Vision and Pattern Recognition eess.IV
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