Works cited by this work

59 works

Work: Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images

Assessing the efficacy of 3D Dual-CycleGAN model for multi-contrast MRI synthesis
Ali Mahboubisarighieh, Hossein Shahverdi, Shabnam Jafarpoor Nesheli +4
Article202410 citations
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
Article202410 citations
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
Article20248 citations
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
Chapter20228 citations
ABI
Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
Michiru Nishita, Seung‐Yeol Park, Tadashi Nishio +9
Article20177 citations
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
Article20227 citations
ABI
Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques
Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour
Chapter20237 citations
ABI
A review on the attention mechanism of deep learning
Zhaoyang Niu, Guoqiang Zhong, Hui Yu
Review article20216 citations
ABI
Beyond imaging: The promise of radiomics
Michele Avanzo, Joseph Stancanello, Issam El Naqa
Review article20176 citations
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
Article20235 citations
ABI
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach
Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno +3
Article20204 citations
ABI
The Role of Artificial Intelligence in the Identification and Evaluation of Bone Fractures
Andrew Tieu, Ezriel Kroen, Yonaton Kadish +6
Review article20243 citations
ABI
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer
Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar +4
Article20223 citations
ABI
Introduction to Radiomics
Marius E. Mayerhoefer, Andrzej Materka, Georg Langs +4
Review article20203 citations
ABI
Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu +7
Article20223 citations
ABI
Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review
Sanghyuk Roy Choi, Minhyeok Lee
Review article20232 citations
ABI
Enhancing diagnosis: ensemble deep-learning model for fracture detection using X-ray images
Anas Tahir, Aiza Saadia, Kanwal Iqbal Khan +3
Article20242 citations
ABI
A deep learning radiomics model for preoperative grading in meningioma
Yongbei Zhu, Chuntao Man, Lixin Gong +8
Article20192 citations
ABI
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models
Fırat Hardalaç, Fatih Uysal, Ozan Peker +6
Article20222 citations
ABI
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers, Flavius Frăsincar
Article20212 citations
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
Article20242 citations
ABI
Untitled
Other1 citations
ABI
Untitled
Other1 citations
ABI
Untitled
Other1 citations
ABI
Untitled
Other1 citations
ABI