Работы, на которые ссылается эта работа

Работ: 66

Работа: Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features

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
<scp>YOLOv8</scp> Outperforms Traditional <scp>CNN</scp> Models in Mammography Classification: Insights From a Multi‐Institutional Dataset
Erfan AkbarnezhadSany, Hossein EntezariZarch, Mohammad AlipoorKermani +11
Статья2024Цитирований: 8
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
Beyond imaging: The promise of radiomics
Michele Avanzo, Joseph Stancanello, Issam El Naqa
Обзорная статья2017Цитирований: 6
ABI
Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques
Mohammad R. Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh +1
Статья2023Цитирований: 5
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
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya +3
Обзорная статья2024Цитирований: 3
ABI
Repeatability and Reproducibility of Radiomic Features: A Systematic Review
Alberto Traverso, Leonard Wee, André Dekker +1
Обзорная статья2018Цитирований: 3
ABI
A Brain Tumor Identification and Classification Using Deep Learning based on CNN-LSTM Method
Ramdas Vankdothu, Mohd Abdul Hameed, Husnah Fatima
Статья2022Цитирований: 2
ABI
Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy
Congying Xie, Xianwen Yu, Ninghang Tan +12
Статья2024Цитирований: 2
ABI
Meningiomas with brain edema
Takahiro Nakano, Kenichiroh Asano, Hiroyuki Miura +2
Обзорная статья2002Цитирований: 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
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ДругоеЦитирований: 1
ABI
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ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI