Artificial Intelligence Medical Compendium

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

Showing 20,061 to 20,070 of 215,962 articles

Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study

arXiv May 12, 2026
Specialized foundation models are beginning to emerge in various medical subdomains, but pretraining methodologies and parametric scaling with the size of the pretraining dataset are rarely assessed systematically and in a like-for-like manner. This ... read more 
Signal Processing cs.AI cs.LG

H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows

arXiv May 12, 2026
Metal artifacts in computed tomography (CT) severely degrade image quality, compromising diagnostic accuracy and radiotherapy planning, especially in cancer patients with high-density implants. We propose H3D-MarNet, a two-stage framework for artifac... read more 
Computer Vision and Pattern Recognition

From Image Hashing to Scene Change Detection

arXiv May 12, 2026
Image hashing provides compact representations for efficient storage and retrieval but is inherently limited to global comparison and cannot reason about where changes occur. This limitation prevents hashing from being directly applicable to scene ch... read more 
Computer Vision and Pattern Recognition

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models

arXiv May 12, 2026
Supervised Finetuning (SFT) has become one of the primary methods for adapting a large language model (LLM) with extensive pre-trained knowledge to domain-specific, instruction-following tasks. SFT datasets, composed of instruction-response pairs, of... read more 
Cryptography and Security cs.CL cs.LG

Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm

arXiv May 12, 2026
Humans often specify and create through visual artifacts: typography sheets, sketches, reference images, and annotated scenes. Yet modern visual generators still ask users to serialize this intent into text, a bottleneck that compresses signals like ... read more 
Computer Vision and Pattern Recognition

Hypernetworks for Dynamic Feature Selection

arXiv May 12, 2026
Dynamic feature selection (DFS) is a machine learning framework in which features are acquired sequentially for individual samples under budget constraints. The exponential growth in the number of possible feature acquisition paths forces a DFS model... read more 
Machine Learning

Large-Small Model Collaboration for Farmland Semantic Change Detection

arXiv May 12, 2026
Farmland Semantic Change Detection (SCD) is essential for cultivated land protection, yet existing benchmarks and models remain insufficient for fine-grained farmland conversion monitoring. Current datasets often lack dedicated "from-to" annotations,... read more 
Computer Vision and Pattern Recognition

Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation

arXiv May 12, 2026
While recent advancements in multimodal language models have enabled image generation from expressive multi-image instructions, existing methods struggle to maintain performance under complex interleaved instructions. This limitation stems from the s... read more 
Computer Vision and Pattern Recognition

G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models

arXiv May 12, 2026
The development of separate-encoder Unified multimodal models (UMMs) comes with a rapidly growing inference cost due to dense visual token processing. In this paper, we focus on understanding-side visual token reduction for improving the efficiency o... read more 
Computer Vision and Pattern Recognition

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos

arXiv May 12, 2026
Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonoscopy applications, from polyp characterization to automated reporting and retrieval. Supervised contrastive learning is an effective approach for learni... read more 
Computer Vision and Pattern Recognition
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