Artificial Intelligence Medical Compendium

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

Showing 38,191 to 38,200 of 223,469 articles

Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning

arXiv
Segmenting the left atrial wall from late gadolinium enhancement magnetic resonance images (MRI) is challenging due to the wall's thin geometry, low contrast, and the scarcity of expert annotations. We propose a Model-Agnostic Meta-Learning (MAML) fr... read more 

Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs

arXiv
Zero-shot referring expression comprehension (REC) aims to locate target objects in images given natural language queries without relying on task-specific training data, demanding strong visual understanding capabilities. Existing Vision-Language Mod... read more 

Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

arXiv
Early detection of rice leaf diseases is critical, as rice is a staple crop supporting a substantial share of the world's population. Timely identification of these diseases enables more effective intervention and significantly reduces the risk of la... read more 

Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields

arXiv
This paper presents Few TensoRF, a 3D reconstruction framework that combines TensorRF's efficient tensor based representation with FreeNeRF's frequency driven few shot regularization. Using TensorRF to significantly accelerate rendering speed and int... read more 

Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields

arXiv
This paper presents Few TensoRF, a 3D reconstruction framework that combines TensorRF's efficient tensor based representation with FreeNeRF's frequency driven few shot regularization. Using TensorRF to significantly accelerate rendering speed and int... read more 

VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning

arXiv
Existing Multimodal Large Language Models (MLLMs) often suffer from hallucinations in long video understanding (LVU), primarily due to the imbalance between textual and visual tokens. Observing that MLLMs handle short visual inputs well, recent LVU w... read more 

Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method

arXiv
As a representative continuous-depth neural network approach, stochastic differential equation (SDE)-based Bayesian neural networks (BNNs) have attracted considerable attention due to their solid theoretical foundations and strong potential for real-... read more 

CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering

arXiv
Medical image restoration is essential for improving the usability of noisy, incomplete, and artifact-corrupted clinical scans, yet existing methods often rely on task-specific retraining and offer limited control over the trade-off between faithful ... read more 

Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

arXiv
We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancement across both general and scientific domains. Beyond stronger reason... read more 

Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics

arXiv
Real-time monitoring of high-energy propellant combustion is difficult. Extreme high dynamic range (HDR), microsecond-scale particle motion, and heavy smoke often occur together. These conditions drive saturation, motion blur, and unstable particle e... read more