Artificial Intelligence Medical Compendium

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

Showing 64,391 to 64,400 of 231,309 articles

Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation

arXiv
Accurately localizing and segmenting relevant objects from optical remote sensing images (ORSIs) is critical for advancing remote sensing applications. Existing methods are typically built upon moderate-scale pre-trained models and employ diverse opt... read more 

Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams

arXiv
Accurate localisation in planetary robotics enables the advanced autonomy required to support the increased scale and scope of future missions. The successes of the Ingenuity helicopter and multiple planetary orbiters lay the groundwork for future mi... read more 

A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow

arXiv
Currently, Flow matching methods aim to compress the iterative generation process of diffusion models into a few or even a single step, with MeanFlow and FreeFlow being representative achievements of one-step generation based on Ordinary Differential... read more 

How Many Human Judgments Are Enough? Feasibility Limits of Human Preference Evaluation

arXiv
Human preference evaluations are widely used to compare generative models, yet it remains unclear how many judgments are required to reliably detect small improvements. We show that when preference signal is diffuse across prompts (i.e., all prompt t... read more 

Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking

arXiv
Recent advances in transformer-based lightweight object tracking have established new standards across benchmarks, leveraging the global receptive field and powerful feature extraction capabilities of attention mechanisms. Despite these achievements,... read more 

Detecting Batch Heterogeneity via Likelihood Clustering

arXiv
Batch effects represent a major confounder in genomic diagnostics. In copy number variant (CNV) detection from NGS, many algorithms compare read depth between test samples and a reference sample, assuming they are process-matched. When this assumptio... read more 

POWDR: Pathology-preserving Outpainting with Wavelet Diffusion for 3D MRI

arXiv
Medical imaging datasets often suffer from class imbalance and limited availability of pathology-rich cases, which constrains the performance of machine learning models for segmentation, classification, and vision-language tasks. To address this chal... read more 

Predictive coding narrows the gap between convolutional networks and human brain function in misspelled-word reading

bioRxiv
Humans can readily recognize words even when they are misspelled, though with slower responses, demonstrating remarkable robustness in reading. The computational mechanisms underlying this combination of robustness and cost in reading remain unclear.... read more 

Accelerating Inference in Genomic Foundation Models via Speculative Decoding

bioRxiv
Genomic and protein foundation models (GFMs and PFMs) have demonstrated strong performance in learning the language of DNA and proteins, but their use in large-scale sequence generation is limited by the latency of autoregressive decoding. Because ev... read more 

Deep learning-guided design of cell type-specific AAV promoters

bioRxiv
Precise cell type targeting is critical for both clinical and experimental applications of adeno-associated viral (AAV) vectors, yet engineering vectors with cell type-specific activity remains a challenge. Here, we compared three strategies leveragi... read more