Calibrated ROI-gated conditional computation for high-throughput and backbone-agnostic brain tumor MRI classification [0.03%]
高通量和骨干无关的脑肿瘤MRI分类的校准ROI门控条件计算
Ashraful Alam Nirob,Tasnim Sakib Apon,Anika Tahsin et al.
Ashraful Alam Nirob et al.
Background and objective: Multi-class brain tumor classification from magnetic resonance imaging must achieve high diagnostic accuracy while maintaining low inference latency and reliable confidence for real-time clinical...
A MiXed-Reality automatic system for enhanced precision in craniotomy procedure for meningioma resection: A multicentric study [0.03%]
一种用于脑膜瘤切除术颅骨切开术的混合现实自动系统：一项多中心研究
Alessandro Albanesi,Marco Schiariti,Fabio Morelli et al.
Alessandro Albanesi et al.
Background and objective: Craniotomy is the standard surgical approach in neuro-oncology for accessing and removing brain tumors. Despite being the clinical gold standard, conventional image-guided systems such as neurona...
Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature [0.03%]
实时的三维肿瘤氧浓度图——活跃肿瘤血管环境中的分析
Gabriela Dziurman,Natalia Radzikowska,Agnieszka Drzał et al.
Gabriela Dziurman et al.
Background and objective: Characterizing the tumor microenvironment (TME) requires integrating multiple physiological features, including oxygenation, vascularity, and redox status. While EPR oxygen imaging (EPROI) provid...
HIPPA-DGCN: Survival analysis on whole slide images via hyper-image patches and position-aware dense graph convolutional networks [0.03%]
基于超图像补丁和位置感知密集图卷积网络的全片影像生存分析方法
Huhan Xie,Tong Xu,Huaishui Yang et al.
Huhan Xie et al.
Background and objective: Whole Slide Images (WSIs) are the gold standard for cancer diagnosis and prognosis. However, the enormous scale of WSIs presents significant challenges for effective information aggregation in su...
Multi-view semi-supervised adversarial attention network for drug repurposing [0.03%]
基于多视图半监督对抗注意力网络的药物再利用研究
Mengmeng Fan,Dakuo He,Qian Liu et al.
Mengmeng Fan et al.
Background and objective: Drug repositioning represents an efficient strategy for uncovering new therapeutic indications for approved drugs. However, most existing prediction methods rely on similarity data and overlook b...
Integrating evolutionary game theory with SEIRS models: A spatial epidemic simulator for strategy-based interventions [0.03%]
基于策略的干预的空间流行病学模拟器：与SEIRS模型结合的进化博弈理论
Paweł Mendzik,Damian Borys
Paweł Mendzik
Background and objective: This study investigates how adaptive individual behavior influences epidemic dynamics in spatially structured populations. Specifically, it examines how payoff-driven strategy evolution interacts...
A lightweight vision transformer with context-aware convolution and uniformity normalization for Alzheimer's Disease diagnosis [0.03%]
一种基于上下文感知卷积和均匀归一化的轻量级视觉Transformer的阿尔茨海默病诊断方法
Si-Yuan Lu,Ziquan Zhu,Baihua Zhang et al.
Si-Yuan Lu et al.
Background: Early and accurate diagnosis of Alzheimer's Disease (AD) is crucial for effective clinical intervention. Method: In this st...
CEP-IP: An explainable framework for cell subpopulation identification in single-cell transcriptomics [0.03%]
可解释的单细胞转录组数据框架以识别细胞亚群(CEP-IP)
Kah Keng Wong
Kah Keng Wong
Background and objective: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approaches for identifying cell subpopulations harboring strong pairwise monotonic gene-module relationships between a gene of i...
Blood cancer differentiation based on IR spectroscopy and chemometrics [0.03%]
基于红外光谱与化学计量学的血液癌症分类问题研究
Leiying Xie,Shuxia Guo,Tingting Liu et al.
Leiying Xie et al.
Background and objective: White blood cells (WBCs) and their subpopulations play critical roles in detecting blood cancers due to their distinct biological and biochemical characteristics. Infrared (IR) spectroscopy offer...
Unveiling the causal pathway of Parkinson's disease dysphonia: A voice causal generative model (VCGM) approach [0.03%]
揭示帕金森病失语的因果途径：一种声音因果生成模型(VCGM)方法
Guo Leiyong,Li Yu,Xiang Zheng
Guo Leiyong
Background: Although artificial intelligence (AI) models have demonstrated high accuracy in diagnosing Parkinson's disease (PD) from speech signals, their "black-box" nature prevents mechanistic understanding of vocal imp...