Artificial Intelligence Medical Compendium

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

Showing 45,001 to 45,010 of 224,055 articles

Long-Term Visual Localization in Dynamic Benthic Environments: A Dataset, Footprint-Based Ground Truth, and Visual Place Recognition Benchmark

arXiv Mar 4, 2026
Long-term visual localization has the potential to reduce cost and improve mapping quality in optical benthic monitoring with autonomous underwater vehicles (AUVs). Despite this potential, long-term visual localization in benthic environments remains... read more 
Computer Vision and Pattern Recognition cs.RO

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

arXiv Mar 4, 2026
Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only partially visible on routine MRI, making it difficult to reliably assess true tumor extent and personalize treatment planning and follow-up. We present a ... read more 
Computer Vision and Pattern Recognition

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

arXiv Mar 4, 2026
Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only partially visible on routine MRI, making it difficult to reliably assess true tumor extent and personalize treatment planning and follow-up. We present a ... read more 
Computer Vision and Pattern Recognition

Tuning Just Enough: Lightweight Backdoor Attacks on Multi-Encoder Diffusion Models

arXiv Mar 4, 2026
As text-to-image diffusion models become increasingly deployed in real-world applications, concerns about backdoor attacks have gained significant attention. Prior work on text-based backdoor attacks has largely focused on diffusion models conditione... read more 
Machine Learning cs.CV

Revisiting the Role of Foundation Models in Cell-Level Histopathological Image Analysis under Small-Patch Constraints -- Effects of Training Data Scale and Blur Perturbations on CNNs and Vision Transformers

arXiv Mar 4, 2026
Background and objective: Cell-level pathological image analysis requires working with extremely small image patches (40x40 pixels), far below standard ImageNet resolutions. It remains unclear whether modern deep learning architectures and foundation... read more 
Computer Vision and Pattern Recognition q-bio.QM

Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

arXiv Mar 4, 2026
Demographic attributes such as age, sex, and race can be predicted from medical images, raising concerns about bias in clinical AI systems. In brain MRI, this signal may arise from anatomical variation, acquisition-dependent contrast differences, or ... read more 
Computer Vision and Pattern Recognition cs.AI

TextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compression

arXiv Mar 4, 2026
Ultra-low bitrate image compression faces a critical challenge: preserving small-font scene text while maintaining overall visual quality. Region-of-interest (ROI) bit allocation can prioritize text but often degrades global fidelity, leading to a tr... read more 
Computer Vision and Pattern Recognition

Modeling and Control of a Pneumatic Soft Robotic Catheter Using Neural Koopman Operators

arXiv Mar 4, 2026
Catheter-based interventions are widely used for the diagnosis and treatment of cardiac diseases. Recently, robotic catheters have attracted attention for their ability to improve precision and stability over conventional manual approaches. However, ... read more 
Robotics

A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination

arXiv Mar 4, 2026
Few-Shot Action Recognition (FS-AR) has shown promising results but is often limited by a closed-set assumption that fails in real-world open-set scenarios. While Few-Shot Open-Set (FSOS) recognition is well-established for images, its extension to s... read more 
Computer Vision and Pattern Recognition

Mask-Guided Attention Regulation for Anatomically Consistent Counterfactual CXR Synthesis

arXiv Mar 4, 2026
Counterfactual generation for chest X-rays (CXR) aims to simulate plausible pathological changes while preserving patient-specific anatomy. However, diffusion-based editing methods often suffer from structural drift, where stable anatomical semantics... read more 
Computer Vision and Pattern Recognition
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