Artificial Intelligence Medical Compendium

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

Showing 44,641 to 44,650 of 224,055 articles

MADCrowner: Margin Aware Dental Crown Design with Template Deformation and Refinement

arXiv Mar 5, 2026
Dental crown restoration is one of the most common treatment modalities for tooth defect, where personalized dental crown design is critical. While computer-aided design (CAD) systems have notably enhanced the efficiency of dental crown design, exten... read more 
Computer Vision and Pattern Recognition cs.AI

Privacy-Aware Camera 2.0 Technical Report

arXiv Mar 5, 2026
With the increasing deployment of intelligent sensing technologies in highly sensitive environments such as restrooms and locker rooms, visual surveillance systems face a profound privacy-security paradox. Existing privacy-preserving approaches, incl... read more 
Computer Vision and Pattern Recognition cs.CL

LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation

arXiv Mar 5, 2026
Medical image analysis relies on accurate segmentation, and benefits from controllable synthesis (of new training images). Yet both tasks of the cyclical pipeline face spatial imbalance: lesions occupy small regions against vast backgrounds. In parti... read more 
Computer Vision and Pattern Recognition cs.AI

Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper

arXiv Mar 5, 2026
Segmentation is crucial for brain gliomas as it delineates the glioma s extent and location, aiding in precise treatment planning and monitoring, thus improving patient outcomes. Accurate segmentation ensures proper identification of the glioma s siz... read more 
Computer Vision and Pattern Recognition cs.AI

Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation

arXiv Mar 5, 2026
The limited understanding capacity of the visual encoder in Contrastive Language-Image Pre-training (CLIP) has become a key bottleneck for downstream performance. This capacity includes both Discriminative Ability (D-Ability), which reflects class se... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization

arXiv Mar 5, 2026
We study how architectural inductive bias reshapes the implicit regularization induced by the edge-of-stability phenomenon in gradient descent. Prior work has established that for fully connected networks, the strength of this regularization is gover... read more 
Machine Learning cs.LG

Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation

arXiv Mar 5, 2026
We present Meta-D, an architecture that explicitly leverages categorical scanner metadata such as MRI sequence and plane orientation to guide feature extraction for brain tumor analysis. We aim to improve the performance of medical image deep learnin... read more 
Computer Vision and Pattern Recognition cs.AI

Missingness Bias Calibration in Feature Attribution Explanations

arXiv Mar 5, 2026
Popular explanation methods often produce unreliable feature importance scores due to missingness bias, a systematic distortion that arises when models are probed with ablated, out-of-distribution inputs. Existing solutions treat this as a deep repre... read more 
Machine Learning

Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction

arXiv Mar 5, 2026
With the rapid advancement and widespread application of vision-language pre-training (VLP) models, their vulnerability to adversarial attacks has become a critical concern. In general, the adversarial examples can typically be designed to exhibit tr... read more 
Computer Vision and Pattern Recognition

Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models

arXiv Mar 5, 2026
The rapid progress of Multi-Modal Large Language Models (MLLMs) has significantly advanced downstream applications. However, this progress also exposes serious transferable adversarial vulnerabilities. In general, existing adversarial attacks against... read more 
Computer Vision and Pattern Recognition
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