Artificial Intelligence Medical Compendium

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

Showing 23,351 to 23,360 of 217,176 articles

IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration

arXiv May 4, 2026
Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing from the degraded input. Same-identity references reduce this ambiguity, but mismatched pose, expression, illumination, age, makeup, o... read more 
Computer Vision and Pattern Recognition cs.AI

Trust, but Verify: Peeling Low-Bit Transformer Networks for Training Monitoring

arXiv May 4, 2026
Understanding whether deep neural networks are effectively optimized remains challenging, as training occurs in highly nonconvex landscapes and standard metrics provide limited visibility into layer-wise learning quality. This challenge is particular... read more 
Machine Learning

Pixel Perfect: Relational Image Quality Assessment with Spatially-Aware Distortions

arXiv May 4, 2026
Traditional image quality assessment (IQA) methods rely on mean opinion scores (MOS), which are resource-intensive to collect and fail to provide interpretable, localized feedback on specific image distortions. We overcome these limitations by shifti... read more 
Computer Vision and Pattern Recognition

Laplacian Frequency Interaction Network for Rural Thematic Road Extraction

arXiv May 4, 2026
Rural thematic road network construction aims to extract topological road structures from movement trajectory images of agricultural machinery. However, this task faces challenges where downsampling methods commonly used in existing studies tend to b... read more 
Computer Vision and Pattern Recognition

AlbumFill: Album-Guided Reasoning and Retrieval for Personalized Image Completion

arXiv May 4, 2026
Personalized image completion aims to restore occluded regions in personal photos while preserving identity and appearance. Existing methods either rely on generic inpainting models that often fail to maintain identity consistency, or assume that sui... read more 
Computer Vision and Pattern Recognition cs.IR

Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection

arXiv May 4, 2026
Continuous monitoring of bipolar disorder agitation via voice biomarkers requires disentangling stable speaker traits from volatile affective states on resource-constrained edge devices. We introduce MP-IB, the first framework to treat mixed-precisio... read more 
Machine Learning cs.AI cs.HC cs.SD

Approaching human parity in the quality of automated organoid image segmentation

arXiv May 4, 2026
Organoids are complex, three dimensional, self-organizing cell cultures which manifest organ-like features and represent a powerful platform for studying human disease and developing treatment options. Organoid development is characterized by dynamic... read more 
Computer Vision and Pattern Recognition cond-mat.soft q-bio.QM

Learning to Segment using Summary Statistics and Weak Supervision

arXiv May 4, 2026
Medical experts often manually segment images to obtain diagnostic statistics and discard the resulting annotations. We aim to train segmentation models to alleviate this burden, but constrained to the retained summary statistics (e.g., the area of t... read more 
Computer Vision and Pattern Recognition cs.LG

Distributed Deep Variational Approach for Privacy-preserving Data Release

arXiv May 4, 2026
Federated learning (FL) lets distributed nodes train a shared model without exchanging their raw data, but in privacy-sensitive deployments medical sensors, IoT devices, wearables the protection offered by keeping data local is incomplete: gradients,... read more 
Cryptography and Security cs.LG

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

arXiv May 4, 2026
Deep learning-based medical image segmentation is increasingly used to support clinical diagnosis and develop new treatment strategies. However, model performance remains limited by the scarcity of high-quality annotated data and insufficient general... read more 
Computer Vision and Pattern Recognition
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