Artificial Intelligence Medical Compendium

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

Showing 51,331 to 51,340 of 225,182 articles

EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data

arXiv Feb 12, 2026
State-of-the-art generative image and video models rely heavily on tokenizers that compress high-dimensional inputs into more efficient latent representations. While this paradigm has revolutionized RGB generation, Earth observation (EO) data present... read more 
Computer Vision and Pattern Recognition

WaveFormer: Wavelet Embedding Transformer for Biomedical Signals

arXiv Feb 12, 2026
Biomedical signal classification presents unique challenges due to long sequences, complex temporal dynamics, and multi-scale frequency patterns that are poorly captured by standard transformer architectures. We propose WaveFormer, a transformer arch... read more 
Machine Learning

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

arXiv Feb 12, 2026
Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training costs and deployment footprints. In this work, we present DeepGen 1.0, a lightweight 5B unified... read more 
Computer Vision and Pattern Recognition cs.AI

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

arXiv Feb 12, 2026
Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training costs and deployment footprints. In this work, we present DeepGen 1.0, a lightweight 5B unified... read more 
Computer Vision and Pattern Recognition cs.AI

Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching

arXiv Feb 12, 2026
We propose UniDFlow, a unified discrete flow-matching framework for multimodal understanding, generation, and editing. It decouples understanding and generation via task-specific low-rank adapters, avoiding objective interference and representation e... read more 
Computer Vision and Pattern Recognition

Categorical Flow Maps

arXiv Feb 12, 2026
We introduce Categorical Flow Maps, a flow-matching method for accelerated few-step generation of categorical data via self-distillation. Building on recent variational formulations of flow matching and the broader trend towards accelerated inference... read more 
Machine Learning

Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data

arXiv Feb 12, 2026
Self-supervised learning (SSL) is a powerful paradigm for learning from unlabeled time-series data. However, popular methods such as masked autoencoders (MAEs) rely on reconstructing inputs from a fixed, predetermined masking ratio. Instead of this s... read more 
Machine Learning

Quantum walk inspired JPEG compression of images

arXiv Feb 12, 2026
This work proposes a quantum inspired adaptive quantization framework that enhances the classical JPEG compression by introducing a learned, optimized Qtable derived using a Quantum Walk Inspired Optimization (QWIO) search strategy. The optimizer sea... read more 
Image and Video Processing cs.AI cs.CV cs.ET cs.IT

Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification

arXiv Feb 12, 2026
Rapid and non-destructive assessment of milk quality is crucial to ensuring both nutritional value and food safety. In this study, we investigated the potential of visible and hyperspectral imaging as cost-effective and quick-response alternatives to... read more 
Image and Video Processing cs.AI cs.LG

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement

arXiv Feb 12, 2026
Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of clinical tasks, yet their development is constrained by the scarcity, heterogeneity, and high cost of large-scale annotated datasets. Here, we propose ... read more 
Quantitative Methods cs.AI cs.LG
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