Artificial Intelligence Medical Compendium

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

Showing 52,541 to 52,550 of 225,341 articles

One-Shot Crowd Counting With Density Guidance For Scene Adaptaion

arXiv Feb 8, 2026
Crowd scenes captured by cameras at different locations vary greatly, and existing crowd models have limited generalization for unseen surveillance scenes. To improve the generalization of the model, we regard different surveillance scenes as differe... read more 
Computer Vision and Pattern Recognition

FSP-Diff: Full-Spectrum Prior-Enhanced DualDomain Latent Diffusion for Ultra-Low-Dose Spectral CT Reconstruction

arXiv Feb 8, 2026
Spectral computed tomography (CT) with photon-counting detectors holds immense potential for material discrimination and tissue characterization. However, under ultra-low-dose conditions, the sharply degraded signal-to-noise ratio (SNR) in energy-spe... read more 
Computer Vision and Pattern Recognition

Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction

arXiv Feb 8, 2026
The clinical application of cone-beam computed tomography (CBCT) is constrained by the inherent trade-off between radiation exposure and image quality. Ultra-sparse angular sampling, employed to reduce dose, introduces severe undersampling artifacts ... read more 
Computer Vision and Pattern Recognition

MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance

arXiv Feb 8, 2026
Recent advances in instruction-based image editing have shown remarkable progress. However, existing methods remain limited to relatively simple editing operations, hindering real-world applications that require complex and compositional instructions... read more 
Computer Vision and Pattern Recognition cs.AI

ForecastOcc: Vision-based Semantic Occupancy Forecasting

arXiv Feb 8, 2026
Autonomous driving requires forecasting both geometry and semantics over time to effectively reason about future environment states. Existing vision-based occupancy forecasting methods focus on motion-related categories such as static and dynamic obj... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.RO

Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields

arXiv Feb 8, 2026
With the success of static black-hole imaging, the next frontier is the dynamic and 3D imaging of black holes. Recovering the dynamic 3D gas near a black hole would reveal previously-unseen parts of the universe and inform new physics models. However... read more 
General Relativity and Quantum Cosmology astro-ph.IM cs.CV

Weak to Strong: VLM-Based Pseudo-Labeling as a Weakly Supervised Training Strategy in Multimodal Video-based Hidden Emotion Understanding Tasks

arXiv Feb 8, 2026
To tackle the automatic recognition of "concealed emotions" in videos, this paper proposes a multimodal weak-supervision framework and achieves state-of-the-art results on the iMiGUE tennis-interview dataset. First, YOLO 11x detects and crops human p... read more 
Computer Vision and Pattern Recognition cs.AI

DICE: Disentangling Artist Style from Content via Contrastive Subspace Decomposition in Diffusion Models

arXiv Feb 8, 2026
The recent proliferation of diffusion models has made style mimicry effortless, enabling users to imitate unique artistic styles without authorization. In deployed platforms, this raises copyright and intellectual-property risks and calls for reliabl... read more 
Computer Vision and Pattern Recognition cs.AI

ReRoPE: Repurposing RoPE for Relative Camera Control

arXiv Feb 8, 2026
Video generation with controllable camera viewpoints is essential for applications such as interactive content creation, gaming, and simulation. Existing methods typically adapt pre-trained video models using camera poses relative to a fixed referenc... read more 
Computer Vision and Pattern Recognition

Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders

arXiv Feb 8, 2026
Normative modeling learns a healthy reference distribution and quantifies subject-specific deviations to capture heterogeneous disease effects. In Alzheimers disease (AD), multimodal neuroimaging offers complementary signals but VAE-based normative m... read more 
Machine Learning cs.AI
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