Artificial Intelligence Medical Compendium

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

Showing 43,771 to 43,780 of 224,055 articles

BioGait-VLM: A Tri-Modal Vision-Language-Biomechanics Framework for Interpretable Clinical Gait Assessment

arXiv Mar 9, 2026
Video-based Clinical Gait Analysis often suffers from poor generalization as models overfit environmental biases instead of capturing pathological motion. To address this, we propose BioGait-VLM, a tri-modal Vision-Language-Biomechanics framework for... read more 
Computer Vision and Pattern Recognition

Online Sparse Synthetic Aperture Radar Imaging

arXiv Mar 9, 2026
With modern defense applications increasingly relying on inexpensive, autonomous drones, lies the major challenge of designing computationally and memory-efficient onboard algorithms to fulfill mission objectives. This challenge is particularly signi... read more 
Computer Vision and Pattern Recognition

CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing

arXiv Mar 9, 2026
Unified diffusion editors often rely on a fixed, shared backbone for diverse tasks, suffering from task interference and poor adaptation to heterogeneous demands (e.g., local vs global, semantic vs photometric). In particular, prevalent ControlNet an... read more 
Computer Vision and Pattern Recognition

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations

arXiv Mar 9, 2026
While Multimodal Large Language Models (MLLMs) have achieved remarkable success in 2D visual understanding, their ability to reason about 3D space remains limited. To address this gap, we introduce geometrically referenced 3D scene representations (G... read more 
Computer Vision and Pattern Recognition

Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation

arXiv Mar 9, 2026
Background and objectives: Colorectal cancer histopathological grading depends on accurate segmentation of glandular structures. Current deep learning approaches rely on large scale pixel level annotations that are labor intensive and difficult to ob... read more 
Computer Vision and Pattern Recognition cs.AI

FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection

arXiv Mar 9, 2026
In order to navigate complex traffic environments, self-driving vehicles must recognize many semantic classes pertaining to vulnerable road users or traffic control devices. However, many safety-critical objects (e.g., construction worker) appear inf... read more 
Computer Vision and Pattern Recognition cs.RO

UNBOX: Unveiling Black-box visual models with Natural-language

arXiv Mar 9, 2026
Ensuring trustworthiness in open-world visual recognition requires models that are interpretable, fair, and robust to distribution shifts. Yet modern vision systems are increasingly deployed as proprietary black-box APIs, exposing only output probabi... read more 
Computer Vision and Pattern Recognition cs.AI

Divide and Predict: An Architecture for Input Space Partitioning and Enhanced Accuracy

arXiv Mar 9, 2026
In this article the authors develop an intrinsic measure for quantifying heterogeneity in training data for supervised learning. This measure is the variance of a random variable which factors through the influences of pairs of training points. The v... read more 
Machine Learning

Scale Space Diffusion

arXiv Mar 9, 2026
Diffusion models degrade images through noise, and reversing this process reveals an information hierarchy across timesteps. Scale-space theory exhibits a similar hierarchy via low-pass filtering. We formalize this connection and show that highly noi... read more 
Computer Vision and Pattern Recognition cs.AI

The Temporal Markov Transition Field

arXiv Mar 9, 2026
The Markov Transition Field (MTF), introduced by Wang and Oates (2015), encodes a time series as a two-dimensional image by mapping each pair of time steps to the transition probability between their quantile states, estimated from a single global tr... read more 
Machine Learning stat.ML
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