Artificial Intelligence Medical Compendium

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

Showing 54,891 to 54,900 of 226,183 articles

Eliminating Registration Bias in Synthetic CT Generation: A Physics-Based Simulation Framework

arXiv Feb 2, 2026
Supervised synthetic CT generation from CBCT requires registered training pairs, yet perfect registration between separately acquired scans remains unattainable. This registration bias propagates into trained models and corrupts standard evaluation m... read more 
Computer Vision and Pattern Recognition

Lung Nodule Image Synthesis Driven by Two-Stage Generative Adversarial Networks

arXiv Feb 2, 2026
The limited sample size and insufficient diversity of lung nodule CT datasets severely restrict the performance and generalization ability of detection models. Existing methods generate images with insufficient diversity and controllability, sufferin... read more 
Computer Vision and Pattern Recognition

CIEC: Coupling Implicit and Explicit Cues for Multimodal Weakly Supervised Manipulation Localization

arXiv Feb 2, 2026
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing attention. Consider that current methods rely on costly and time-consuming fine-grained annotations, such as patch/token-level annotations. This paper... read more 
Computer Vision and Pattern Recognition

CIEC: Coupling Implicit and Explicit Cues for Multimodal Weakly Supervised Manipulation Localization

arXiv Feb 2, 2026
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing attention. Consider that current methods rely on costly and time-consuming fine-grained annotations, such as patch/token-level annotations. This paper... read more 
Computer Vision and Pattern Recognition

SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks

arXiv Feb 2, 2026
Accurate prediction of time-to-event outcomes is critical for clinical decision-making, treatment planning, and resource allocation in modern healthcare. While classical survival models such as Cox remain widely adopted in standard practice, they rel... read more 
Machine Learning cs.AI

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

arXiv Feb 2, 2026
Multimodal Large Language Models (MLLMs) have advanced VQA and now support Vision-DeepResearch systems that use search engines for complex visual-textual fact-finding. However, evaluating these visual and textual search abilities is still difficult, ... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

Learning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervision

arXiv Feb 2, 2026
Pulmonary trees extracted from CT images frequently exhibit topological incompleteness, such as missing or disconnected branches, which substantially degrades downstream anatomical analysis and limits the applicability of existing pulmonary tree mode... read more 
Computer Vision and Pattern Recognition

SSI-DM: Singularity Skipping Inversion of Diffusion Models

arXiv Feb 2, 2026
Inverting real images into the noise space is essential for editing tasks using diffusion models, yet existing methods produce non-Gaussian noise with poor editability due to the inaccuracy in early noising steps. We identify the root cause: a mathem... read more 
Computer Vision and Pattern Recognition

Hierarchical Adaptive Eviction for KV Cache Management in Multimodal Language Models

arXiv Feb 2, 2026
The integration of visual information into Large Language Models (LLMs) has enabled Multimodal LLMs (MLLMs), but the quadratic memory and computational costs of Transformer architectures remain a bottleneck. Existing KV cache eviction strategies fail... read more 
Machine Learning cs.AI

Generating Physically Sound Designs from Text and a Set of Physical Constraints

arXiv Feb 2, 2026
We present TIDES, a text informed design approach for generating physically sound designs based on a textual description and a set of physical constraints. TIDES jointly optimizes structural (topology) and visual properties. A pre-trained text-image ... read more 
Machine Learning cs.AI
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