Работы, на которые ссылается эта работа

Работ: 31

Работа: Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis

Assessing the efficacy of 3D Dual-CycleGAN model for multi-contrast MRI synthesis
Ali Mahboubisarighieh, Hossein Shahverdi, Shabnam Jafarpoor Nesheli +4
Статья2024Цитирований: 10
ABI
Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network
Salar Bijari, Sahar Sayfollahi, S. Rouhani +4
Статья2024Цитирований: 10
ABI
Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems
Mehdi Fatan, Mahdi Hosseinzadeh, Dariush Askari +3
Глава2022Цитирований: 8
ABI
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features
Mohammadreza Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari +8
Статья2022Цитирований: 7
ABI
Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques
Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour
Глава2023Цитирований: 7
ABI
A review on the attention mechanism of deep learning
Zhaoyang Niu, Guoqiang Zhong, Hui Yu
Обзорная статья2021Цитирований: 6
ABI
Beyond imaging: The promise of radiomics
Michele Avanzo, Joseph Stancanello, Issam El Naqa
Обзорная статья2017Цитирований: 6
ABI
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Fan Liu, Wenjie Yang +2
Обзорная статья2021Цитирований: 6
ABI
Development and validation of a robust MRI-based nomogram incorporating radiomics and deep features for preoperative glioma grading: a multi-center study
Salar Bijari, Seyed Masoud Rezaeijo, Sahar Sayfollahi +2
Статья2025Цитирований: 4
ABI
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer
Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar +4
Статья2022Цитирований: 3
ABI
Repeatability and Reproducibility of Radiomic Features: A Systematic Review
Alberto Traverso, Leonard Wee, André Dekker +1
Обзорная статья2018Цитирований: 3
ABI
Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu +7
Статья2022Цитирований: 3
ABI
A deep learning radiomics model for preoperative grading in meningioma
Yongbei Zhu, Chuntao Man, Lixin Gong +8
Статья2019Цитирований: 2
ABI
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers, Flavius Frăsincar
Статья2021Цитирований: 2
ABI
Convolutional Neural Networks
Nikhil Ketkar, Jojo Moolayil
Глава2021Цитирований: 2
ABI
Reproducibility of radiomics for deciphering tumor phenotype with imaging
Binsheng Zhao, Yongqiang Tan, Wei‐Yann Tsai +4
Статья2016Цитирований: 2
ABI
An Overview of Meningiomas
Robin Buerki, Craig Horbinski, Tim J. Kruser +3
Обзорная статья2018Цитирований: 2
ABI
Convolutional Neural Network (CNN) for Image Detection and Recognition
Rahul Chauhan, Kamal Kumar Ghanshala, Rakesh Joshi
Статья2018Цитирований: 2
ABI
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives
Ji Eun Park, Seo Young Park, Hwa Jung Kim +1
Обзорная статья2019Цитирований: 2
ABI
Meningiomas
Arie Perry
Глава2018Цитирований: 2
ABI
Predicting meningioma grades and pathologic marker expression via deep learning
Jiawei Chen, Yanping Xue, Leihao Ren +8
Статья2023Цитирований: 2
ABI
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
P. Whybra, Alex Zwanenburg, Vincent Andrearczyk +43
Обзорная статья2024Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI