Artificial Intelligence Medical Compendium

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

Showing 40,401 to 40,410 of 223,737 articles

AU Codes, Language, and Synthesis: Translating Anatomy to Text for Facial Behavior Synthesis

arXiv Mar 19, 2026
Facial behavior synthesis remains a critical yet underexplored challenge. While text-to-face models have made progress, they often rely on coarse emotion categories, which lack the nuance needed to capture the full spectrum of human nonverbal communi... read more 
Computer Vision and Pattern Recognition cs.MM

SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation

arXiv Mar 19, 2026
Speculative Jacobi Decoding (SJD) offers a draft-model-free approach to accelerate autoregressive text-to-image synthesis. However, the high-entropy nature of visual generation yields low draft-token acceptance rates in complex regions, creating a bo... read more 
Computer Vision and Pattern Recognition

Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media

arXiv Mar 19, 2026
Advances in social media data dissemination enable the provision of real-time information during a crisis. The information comes from different classes, such as infrastructure damages, persons missing or stranded in the affected zone, etc. Existing m... read more 
Computation and Language cs.CV

Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset

arXiv Mar 19, 2026
Accurate multi-organ segmentation in abdominal CT scans is essential for computer-aided diagnosis and treatment. While convolutional neural networks (CNNs) have long been the standard approach in medical image segmentation, transformer-based architec... read more 
Computer Vision and Pattern Recognition

GEAR: Geography-knowledge Enhanced Analog Recognition Framework in Extreme Environments

arXiv Mar 19, 2026
The Mariana Trench and the Qinghai-Tibet Plateau exhibit significant similarities in geological origins and microbial metabolic functions. Given that deep-sea biological sampling faces prohibitive costs, recognizing structurally homologous terrestria... read more 
Computer Vision and Pattern Recognition

MeInTime: Bridging Age Gap in Identity-Preserving Face Restoration

arXiv Mar 19, 2026
To better preserve an individual's identity, face restoration has evolved from reference-free to reference-based approaches, which leverage high-quality reference images of the same identity to enhance identity fidelity in the restored outputs. Howev... read more 
Computer Vision and Pattern Recognition

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

arXiv Mar 19, 2026
Medical ultrasound image segmentation faces significant challenges due to limited labeled data and characteristic imaging artifacts including speckle noise and low-contrast boundaries. While semi-supervised learning (SSL) approaches have emerged to a... read more 
Computer Vision and Pattern Recognition cs.AI

Multimodal Model for Computational Pathology:Representation Learning and Image Compression

arXiv Mar 19, 2026
Whole slide imaging (WSI) has transformed digital pathology by enabling computational analysis of gigapixel histopathology images. Recent foundation model advances have accelerated progress in computational pathology, facilitating joint reasoning acr... read more 
Computer Vision and Pattern Recognition

Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels

arXiv Mar 19, 2026
Standard deep learning models for image segmentation cannot guarantee topology accuracy, failing to preserve the correct number of connected components or structures. This, in turn, affects the quality of the segmentations and compromises the reliabi... read more 
Computer Vision and Pattern Recognition

From ex(p) to poly: Gaussian Splatting with Polynomial Kernels

arXiv Mar 19, 2026
Recent advancements in Gaussian Splatting (3DGS) have introduced various modifications to the original kernel, resulting in significant performance improvements. However, many of these kernel changes are incompatible with existing datasets optimized ... read more 
Machine Learning cs.CV cs.GR
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