Ушбу иш иқтибос қилган ишлар

66 та иш

Иш: 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
Мақола202410 иқтибос
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
Мақола202410 иқтибос
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
Мақола20248 иқтибос
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
Боб20228 иқтибос
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
Мақола20227 иқтибос
ABI
Beyond imaging: The promise of radiomics
Michele Avanzo, Joseph Stancanello, Issam El Naqa
Шарҳ мақола20176 иқтибос
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
Мақола20235 иқтибос
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
Мақола20254 иқтибос
ABI
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya +3
Шарҳ мақола20243 иқтибос
ABI
Repeatability and Reproducibility of Radiomic Features: A Systematic Review
Alberto Traverso, Leonard Wee, André Dekker +1
Шарҳ мақола20183 иқтибос
ABI
A Brain Tumor Identification and Classification Using Deep Learning based on CNN-LSTM Method
Ramdas Vankdothu, Mohd Abdul Hameed, Husnah Fatima
Мақола20222 иқтибос
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
Мақола20242 иқтибос
ABI
Meningiomas with brain edema
Takahiro Nakano, Kenichiroh Asano, Hiroyuki Miura +2
Шарҳ мақола20022 иқтибос
ABI
Reproducibility of radiomics for deciphering tumor phenotype with imaging
Binsheng Zhao, Yongqiang Tan, Wei‐Yann Tsai +4
Мақола20162 иқтибос
ABI
An Overview of Meningiomas
Robin Buerki, Craig Horbinski, Tim J. Kruser +3
Шарҳ мақола20182 иқтибос
ABI
Convolutional Neural Network (CNN) for Image Detection and Recognition
Rahul Chauhan, Kamal Kumar Ghanshala, Rakesh Joshi
Мақола20182 иқтибос
ABI
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives
Ji Eun Park, Seo Young Park, Hwa Jung Kim +1
Шарҳ мақола20192 иқтибос
ABI
Meningiomas
Arie Perry
Боб20182 иқтибос
ABI
Predicting meningioma grades and pathologic marker expression via deep learning
Jiawei Chen, Yanping Xue, Leihao Ren +8
Мақола20232 иқтибос
ABI
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
P. Whybra, Alex Zwanenburg, Vincent Andrearczyk +43
Шарҳ мақола20242 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI
Сарлавҳасиз
Бошқа1 иқтибос
ABI