Artificial Intelligence Medical Compendium

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

Showing 51,291 to 51,300 of 225,182 articles

PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction

arXiv Feb 12, 2026
Low-dose computed tomography (LDCT) reconstruction is fundamentally challenged by severe noise and compromised data fidelity under reduced radiation exposure. Most existing methods operate either in the image or post-log projection domain, which fail... read more 
Computer Vision and Pattern Recognition cs.AI

PLESS: Pseudo-Label Enhancement with Spreading Scribbles for Weakly Supervised Segmentation

arXiv Feb 12, 2026
Weakly supervised learning with scribble annotations uses sparse user-drawn strokes to indicate segmentation labels on a small subset of pixels. This annotation reduces the cost of dense pixel-wise labeling, but suffers inherently from noisy and inco... read more 
Computer Vision and Pattern Recognition cs.LG

TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning

arXiv Feb 12, 2026
Federated Learning (FL) facilitates collaborative model training while preserving data locality; however, the exchange of gradients renders the system vulnerable to Gradient Inversion Attacks (GIAs), allowing adversaries to reconstruct private traini... read more 
Machine Learning

Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks

arXiv Feb 12, 2026
Adversarial robustness in deep learning models for brain tumor classification remains an underexplored yet critical challenge, particularly for clinical deployment scenarios involving MRI data. In this work, we investigate the susceptibility and resi... read more 
Computer Vision and Pattern Recognition cs.AI

GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction

arXiv Feb 12, 2026
Positron emission tomography (PET) reconstruction is a critical challenge in molecular imaging, often hampered by noise amplification, structural blurring, and detail loss due to sparse sampling and the ill-posed nature of inverse problems. The three... read more 
Computer Vision and Pattern Recognition

EmoSpace: Fine-Grained Emotion Prototype Learning for Immersive Affective Content Generation

arXiv Feb 12, 2026
Emotion is important for creating compelling virtual reality (VR) content. Although some generative methods have been applied to lower the barrier to creating emotionally rich content, they fail to capture the nuanced emotional semantics and the fine... read more 
Computer Vision and Pattern Recognition

Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes

arXiv Feb 12, 2026
Reliable 3D instance segmentation is fundamental to language-grounded robotic manipulation. Its critical application lies in cluttered environments, where occlusions, limited viewpoints, and noisy masks degrade perception. To address these challenges... read more 
Computer Vision and Pattern Recognition cs.RO

Explainable Machine-Learning based Detection of Knee Injuries in Runners

arXiv Feb 12, 2026
Running is a widely practiced activity but shows a high incidence of knee injuries, especially Patellofemoral Pain Syndrome (PFPS) and Iliotibial Band Syndrome (ITBS). Identifying gait patterns linked to these injuries can improve clinical decision-m... read more 
Machine Learning

Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs

arXiv Feb 12, 2026
Machine learning systems that are "right for the wrong reasons" achieve high performance through shortcuts that collapse under distributional shift. We show this pathology has a precise causal origin: autoregressive training provides no gradient sign... read more 
Artificial Intelligence

ANML: Attribution-Native Machine Learning with Guaranteed Robustness

arXiv Feb 12, 2026
Frontier AI systems increasingly train on specialized expert data, from clinical records to proprietary research to curated datasets, yet current training pipelines treat all samples identically. A Nobel laureate's contribution receives the same weig... read more 
Machine Learning cs.AI
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