Artificial Intelligence Medical Compendium

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

Showing 10,011 to 10,020 of 208,614 articles

Do Modern Post-Hoc Watermarking Methods Beat Broken-Arrows?

arXiv May 26, 2026
With the rapid proliferation of generative models, such as diffusion models, digital watermarking has emerged as a crucial solution for identifying AI-generated images. Modern post-hoc watermarking schemes use neural networks to achieve an extremely ... read more 
Cryptography and Security cs.CV

Unsupervised Deep Image Prior for Sparse-View and Limited-Angle Electron Tomography

arXiv May 26, 2026
Electron tomography (ET) plays an important role in the three-dimensional (3D) characterization of nanomaterials. However, under limited-angle and sparse-view conditions, conventional algorithms produce degraded reconstructions, which compromise the ... read more 
Image and Video Processing cs.CV physics.ins-det

Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification

arXiv May 26, 2026
Superpixel-based image classification has traditionally leveraged graph neural networks (GNNs) for processing irregular image representations. Recent advances in computer vision, driven by Vision Transformers (ViTs), have introduced new paradigms in ... read more 
Computer Vision and Pattern Recognition cs.LG

Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification

arXiv May 26, 2026
Self-Supervised Learning (SSL) has emerged as a powerful paradigm to mitigate the reliance on large, annotated datasets, a common bottleneck in medical image analysis. However, standard SSL methods, which rely on simple geometric and color augmentati... read more 
Computer Vision and Pattern Recognition

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection

arXiv May 26, 2026
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness probing: users upload deployment images, create masks manually or automati... read more 
Computer Vision and Pattern Recognition cs.AI

Beyond Binary: Speech Representations Across the Cognitive Score Hierarchy

arXiv May 26, 2026
This study examines the relationship between speech representations and the hierarchical structure of cognitive assessment in mild cognitive impairment. Utilizing 5,754 German neuropsychological assessment recordings, we evaluate six cognitive tasks ... read more 
Computation and Language cs.LG cs.SD eess.AS q-bio.NC

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation

arXiv May 26, 2026
Distilling demonstration effects into hidden-space interventions offers a lightweight alternative to full finetuning. However, existing multimodal variants are mostly evaluated on short-form tasks, where outputs end after a few tokens. Extending thes... read more 
Computation and Language cs.CV cs.LG

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis

arXiv May 26, 2026
Collaborative analysis of decentralized confidential datasets is important, but direct sharing of original datasets is often restricted by privacy and institutional constraints. Data collaboration (DC) analysis transforms each dataset into privacy-pr... read more 
Machine Learning stat.ML

MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale

arXiv May 26, 2026
Layered image generation and editing is a fundamental capability that enables layer-wise reuse, editing, and composition of generated visual content, analogous to word-level editing in natural language. Despite its importance, this remains an underex... read more 
Computer Vision and Pattern Recognition

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening

arXiv May 26, 2026
Continuous and global detection of large methane emissions is a crucial step for global warming mitigation. Satellite observations, such as from S5P/TROPOMI, combined with plume detection algorithms, can play a key role in this effort. However, not a... read more 
Machine Learning physics.ao-ph
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