Artificial Intelligence Medical Compendium

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

Showing 10,101 to 10,110 of 208,614 articles

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution

arXiv May 25, 2026
State space models (SSMs) have emerged as a powerful paradigm for efficient single-image super-resolution (SR) due to their linear complexity and long-range modeling capabilities. However, existing Mamba-based methods typically rely on data-agnostic ... read more 
Computer Vision and Pattern Recognition

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation

arXiv May 25, 2026
Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation, yet current CPath approaches rely on task-specific models for isolated objectives. Although pan-cancer foundation models offer versatility, they lac... read more 
Image and Video Processing cs.CV

DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation

arXiv May 25, 2026
With the continued advancement of text-to-image (T2I) generation, producing high-quality images is becoming increasingly attainable; consequently, user demands are shifting toward images that better satisfy their specific requirements. As reward mode... read more 
Computer Vision and Pattern Recognition

MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images

arXiv May 25, 2026
3D human mesh recovery and 3D clothed human reconstruction are inherently related, yet they have long been studied in isolation, thereby overlooking the potential gains of joint optimization. To overcome this limitation, we propose to address these t... read more 
Computer Vision and Pattern Recognition cs.AI

[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation

arXiv May 25, 2026
Vision-Language Models such as CLIP exhibit strong zero-shot recognition capability by aligning images with textual concepts, yet they often underperform on multi-label recognition where multiple objects co-exist. A key bottleneck is that the [CLS] t... read more 
Computer Vision and Pattern Recognition

Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models

arXiv May 25, 2026
Diffusion-based multimodal large language models (dMLLMs) decode by iteratively predicting tokens at multiple masked positions in parallel. This turns each decoding step into a position-selection problem: the model must choose not only which predicti... read more 
Machine Learning

OMGTex: One-stage Multi-style Facial Texture Reconstruction without Geometry Guidance

arXiv May 25, 2026
We propose OMGTex, an end-to-end diffusion-based framework for reconstructing high-quality and editable facial UV textures from multi-style facial images. Existing texture reconstruction methods face two major limitations: (1) Fragility due to relian... read more 
Computer Vision and Pattern Recognition

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis

arXiv May 25, 2026
Synthesizing high fidelity contrast enhanced MRI is clinically valuable for safer and more efficient breast cancer screening, yet remains challenging due to complex lesion textures and heterogeneous enhancement patterns. read more 
Computer Vision and Pattern Recognition

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models

arXiv May 25, 2026
Concept unlearning aims to erase a target concept from a pretrained text-to-image diffusion model without retraining. Closed-form methods are attractive in this setting because they apply a single deterministic edit to the cross-attention weights and... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Benchmarking Pathology Foundation Models for Spatial Domain Understanding

arXiv May 25, 2026
Pathology foundation models (PFMs) have emerged as a core approach for learning transferable representations from whole slide images (WSIs), and they are typically benchmarked through downstream clinical endpoints. While such task level evaluations a... read more 
Computer Vision and Pattern Recognition cs.AI
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