Predictive radiogenomics modeling of EGFR mutation status in lung cancer
Gevaert, Olivier, Echegaray, Sebastian, Khuong, Amanda, Hoang, Chuong D., Shrager, Joseph B., Jensen, Kirstin C., Berry, Gerald J., Guo, H. Henry +5 more·2017·Scientific Reports
Cited by (161)
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- Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancerLiye Jia, Wei Qiang Wu, Guojie Hou, Juanjuan Zhao, Yan Qiang, Yanan Zhang, Meiling Cai · 2023 · Multimedia Tools and Applications
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- Artificial intelligence for early endometrial cancer diagnosis using multimodal clinical data: integrating deep learning, explainability, and data privacySital Dash, Kailas R. Patil, Arjun Bali, Ishwari Rohit Raskar, Yashwant V. Dongre, Amol A. Bhosle, Vishal Ambadas Meshram · 2026 · Frontiers in Artificial Intelligence
- Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encodersHuaqiang Su, Haijun Lei, Zaiyi Liu, Lisha Yao, Huan Lin, Huan Lin, Xin Chen, Xin Chen, Baiying Lei · 2025 · Expert Systems with Applications
- Development and validation of a multivariable predictive model for EGFR gene mutation status in patients with lung adenocarcinomaYiping Shi, Qiongfang Zha, Qing Ye, Shan Xue, Huawei Wu, Daoqiang Tang, Hui Qin, Jing Zou · 2021 · Neoplasma
- Key Targets and Molecular Mechanisms of the Fat-soluble Components of Ginseng for Lung Cancer TreatmentDongdong Gao, Yingyue Li, Sen Xiang, Jing Zhang · 2023 · Applied Biochemistry and Biotechnology
- Artificial Intelligence for Cardiothoracic Imaging: Overview of Current and Emerging ApplicationsBruno Hochhegger, Romulo Pasini, Alysson Roncally Carvalho, Rosana Souza Rodrigues, Stephan Altmayer, Leonardo Kayat Bittencourt, Edson dos Santos Marchiori, Reza Forghani · 2023 · Seminars in Roentgenology
- Detection of the gene mutation of epidermal growth factor receptor in lung adenocarcinoma by radiomic features from a small amount of PET dataTianyou Zhang, Zefeng Liu, Li-Ying Lin, Tao Han, Fenghua Long, Hongyu Guo, Li Han · 2023 · Nuclear Medicine Communications
- Cancer Genotypes Prediction and Associations Analysis From Imaging Phenotypes: A Survey on RadiogenomicsYao Wang, Yan Wang, Chunjie Guo, Xuping Xie, Sen Liang, Ruochi Zhang, Wei Pang, Lan Huang · 2020 · Biomarkers in Medicine
- Oncogene-driven lung cancer in the era of radiogenomics: current evidence and future developmentsJames Ryan, John Kavanagh, Niamh Coleman · 2025 · Discover Oncology
- Radiogenomics: Lung Cancer-Related Genes Mutation Status PredictionCatarina Dias, Gil Pinheiro, António Manuel Trigueiros da Silva Cunha, Hélder P. Oliveira · 2019 · Lecture notes in computer science
- Can radiomics in brain magnetic resonance imaging predict the mutational status of primary lung cancer based on brain metastasis?Beyza Nur Kuzan, Can Ilgın, Gonca Gul Gecmen, Naciye Isık, Hediye Pınar Günbey, Murat Emeç · 2025 · Polish Journal of Radiology
- Advances in artificial intelligence-based radiogenomics for lung cancer precision medicineYanqi Sun, Xiayao Guo, Xiaohui Liu, Hongde Liu, Xuemei Wang · 2025 · Progress in Biomedical Engineering
- Tumor‐liver interface in MRI of liver metastasis enables prediction of EGFR mutation in patients with lung cancer: A proof‐of‐concept studyShaoping Hou, Hongbo Wang, Xiaoyu Wang, Huanhuan Chen, Boyu Zhou, Ruiqing Meng, Xianzheng Sha, Shijie Chang, Huan Wang, Wenyan Jiang · 2023 · Medical Physics
- Radiogenomics Map: A Novel Approach for Noninvasive Identification of Molecular Properties?Sizhe Chen, Zhenyuan Ning, Xiaoshun He, Xiaolong Qi · 2017 · Radiology
- Clinical significance of epidermal growth factor receptor mutations in resected stage IA non-small cell lung cancerYuan-Ming Tsai, Kuan‐Hsun Lin, Yen‐Shou Kuo, Yu‐Chieh Lin, Yu-Hsin Chien, Hsiu-Ping Chou, Ying-Yi Chen, Hsu-Kai Huang, Ti-Hui Wu, Hung Chang et al. · 2022 · Formosan Journal of Surgery
- An automatic end-to-end pipeline for CT image-based EGFR mutation status classificationLin Tian, Rong Yuan · 2019 · SPIE Medical Imaging: Image Processing
- On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung CancerPedro Silva, Tânia Pereira, Marco Teixeira, Francisco Silva, Hélder P. Oliveira · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Arcabouço para Classificação, Recuperação por Conteúdo e Radiômica de Imagens Médicas: uma investigação de biomarcadores quantitativos para o câncer de pulmãoJosé Raniery Ferreira · 2020
- Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodulesHeather Marie Selby, Pritam Mukherjee, Christopher A. Parham, Sachin Basiq Malik, Olivier Gevaert, Sandy A. Napel, Rajesh P. Shah · 2023 · Journal of medical imaging
- Unusual presentation of ROS1 rearranged metastatic non-small cell lung cancerLanyi Nora Chen, Claire L. Keating, Jay S. Leb, Anjali Saqi, Catherine A. Shu · 2024 · Respiratory Medicine Case Reports
- Quantitative Imaging Biomarkers in Lung Cancer: Current Trends and Future DirectionsJoice Prodigios, Ronak Kundalia, Amanda Acevedo, Jean Bontemps, David Pfaehler, Md Mahfuz Al Hasan, Kyle B. See, Nupur Verma, Daniela Reis Hochhegger, Alysson Roncally Carvalho et al. · 2025 · Seminars in Roentgenology
- Advances in Artificial Intelligence-Based Radiomultiomics for Assisting Cancer Diagnosis and TreatmentZhuoran Hou, Ziyi Zhao, Dehui Zhu, Min Pan, Ying Zhou, Qinyu Ge · 2025 · International Symposium on Intelligent Robotics and Systems (ISoIRS)
- Deep learning on brain metastasis for predicting EGFR genotype and EGFR-TKI therapy response in metastatic NSCLC: a multicenter studyShuailin You, Ying Fan, Zhiguang Yang, Chunna Yang, Yiyao Sun, Yahong Luo, Zekun Wang, Bo Sun, Wenyan Jiang · 2025 · Frontiers in Bioengineering and Biotechnology
- Radiopaque Recreations of Lung Pathologies From Clinical Computed Tomography Images Using Potassium Iodide Inkjet 3-dimensional PrintingJia Wang, Samuel R. Falkson, H. Henry Guo · 2021 · Journal of Thoracic Imaging
- Synthesizing 3D Lung CT scans with Generative Adversarial NetworksArtur R Ferreira, Tânia Pereira, Francisco Silva, Ana Teresa Vilares, Miguel Correia da Silva, António Manuel Trigueiros da Silva Cunha, Hélder P. Oliveira · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Pathological image profiling identifies onco‐microbial, tumor immune microenvironment, and prognostic subtypes of colorectal cancerYuwen Chu, Shuo Zhang, Wei Wan, Jialiang Yang, Yumeng Zhang, Chuanqi Nie, Weipeng Xing, Shanhe Tong, Jinyang Liu, Geng Tian et al. · 2024 · Apmis
- In Non-Small Cell Lung Cancer, Can Radiomic Features Predict EGFR Mutations?Jiayan Liu, Lin Liu, Yue Ma, Kaiming Xue, Zhe Zhou, Mengchao Zhang · 2019 · IEEE International Conference on Mechatronics and Automation (ICMA)
- Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural networkYaojun Wang, Xinyu Hua, Yu Wang, Chunming Zhang, Dongbo Bu, Shiwei Sun, Xingce Wang · 2020 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Imaging epigenetics and the radiogenomicsÁdám Domonkos Tárnoki, Dávid László Tárnoki · 2021 · Elsevier eBooks
- Identifying transcription patterns of histology and radiomics features in NSCLC with neural networksNova F. Smedley, Denise R. Aberle, William W.Y. Hsu · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
- Radiomics meets pathology: Building the bridge for precision oncologyVittorio Patanè, Maria Chiara Brunese, Luca Marinelli, Erika Martinelli, Valerio Nardone, Renato Franco, Salvatore Cappabianca, Alfonso Reginelli · 2026 · CytoJournal
- Next generation brain tumor image analysisManabu Kinoshita · 2018 · Progress in Neuro-Oncology
- Association between epidermal growth factor receptor mutation status, clinicopathological characteristics and TTF-1 expression in lung adenocarcinoma: A single center studyDragana Tegeltija, Aleksandra Lovrenski, Tijana Vasiljević, Sinisa Maksimovic · 2020 · Srpski arhiv za celokupno lekarstvo
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- Genética: Molecular, humana e médica 3Benedito Rodrigues da Silva Neto · 2023
- O PAPEL DE SOCS3 EM DISTÚRBIOS METABÓLICOS NA HEPATITE C CRÔNICA: REVISÃO DA LITERATURAThaís de Oliveira Consuli, Luísa Hoffmann · 2023
- Additional file 1 of Prediction of programmed cell death protein 1 in hepatocellular carcinoma patients using radiomics analysis with radiofrequency-based ultrasound multifeature mapsQingmin Wang, Yi Dong, Tianlei Xiao, Shiquan Zhang, Jinhua Yu, Leyin Li, Qi Zhang, Yuanyuan Wang, Yang Xiao, Wen‐Ping Wang · 2022 · Figshare
- Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked AutoencodersYuping Peng, Xing Li Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqiang Wang · 2024 · International Joint Conference on Neural Networks (IJCNN)
- Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary StudyToshiyuki T. Tanaka, Tomoki Motegi, Nanami Sumikawa, Misaki Mori, Shohei Kurokawa, Hideo Akiyoshi · 2025 · Veterinary Sciences
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- Applications of Artificial Intelligence in Quantitative ImagingRaúl San Jośe Estépar, Ariel H. Curiale, Pietro Nardelli · 2026 · Springer eBooks
- Radiogenomic landscape of the hallmarks of cancerGuisheng Zhang, Yusheng Guo, Yanjie Yang, Tianxiang Li, Bingxin Gong, Jie Lou, Yi Li, Shu Peng, Chanyuan Liu, Xiuxue Yuan et al. · 2026 · Biomarker Research
- AI-driven diagnostic systemsDeepika Ghai, Sunpreet Kaur Nanda, Somesh Mishra, Kavita Gadade, Kanav Dhir, Akshay Dhande · 2026 · Elsevier eBooks
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