日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Acute deep neck infection MRI: deep learning segmentation and clinical relevance of retropharyngeal edema volume

急性深部颈部感染的MRI:深度学习分割及咽后水肿体积的临床意义

Viertonen, Ville Sakari; Sirén, Aapo; Nyman, Mikko; Huhtanen, Heidi; Klén, Riku; Hirvonen, Jussi; Rainio, Oona

Modified Dice Coefficients for Evaluation of Tumor Segmentation from PET Images: A Proof-of-Concept Study

基于改进Dice系数的PET图像肿瘤分割评价:概念验证研究

Rainio, Oona; Klén, Riku

New compartment model for hepatic blood flow quantification in humans from 15O-water PET images

基于15O-水PET图像的人体肝血流量定量分析新隔室模型

Rainio, Oona; Knuuti, Juhani; Klén, Riku

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections

深度学习可检测急性颈部感染患者的MRI图像中的咽后水肿

Rainio, Oona; Huhtanen, Heidi; Vierula, Jari-Pekka; Nurminen, Janne; Heikkinen, Jaakko; Nyman, Mikko; Klén, Riku; Hirvonen, Jussi

Compartmental modeling for blood flow quantification from dynamic 15 O-water PET images of humans: a systematic review

利用动态 15O-水 PET 图像对人体血流进行定量分析的区室模型:系统综述

Rainio, Oona; Klén, Riku

Pulmonary blood flow quantification in humans from 15O-water PET

利用 15O-水 PET 对人体肺血流量进行定量分析

Rainio, Oona; Kärpijoki, Henri; Knuuti, Juhani; Klén, Riku

Deep learning-based 3D classification of head and neck cancer PET/MRI: Radiologist comparison and Grad-CAM interpretability

基于深度学习的头颈癌PET/MRI三维分类:放射科医生对比及Grad-CAM可解释性

Liedes, Joonas; Hirvonen, Jussi; Rainio, Oona; Murtojärvi, Sarita; Malaspina, Simona; Klén, Riku; Kemppainen, Jukka

Metal-induced changes in the early-life gut microbial composition and life-history traits in three insectivorous passerines

金属诱导的三种食虫雀形目鸟类早期肠道微生物组成和生活史特征的变化

Rainio, Miia J; Leino, Lyydia; Vesterinen, Eero; Virosta, Pablo Sánchez; Puigbò, Pere; Eeva, Tapio

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue

神经影像学中降维技术的未开发潜力:人工智能驱动的COVID-19长期疲劳多模态分析

Rudroff, Thorsten; Klén, Riku; Rainio, Oona; Tuulari, Jetro

Neuroplasticity Meets Artificial Intelligence: A Hippocampus-Inspired Approach to the Stability-Plasticity Dilemma

神经可塑性与人工智能的交汇:受海马体启发的稳定性-可塑性困境解决方案

Rudroff, Thorsten; Rainio, Oona; Klén, Riku