Citation Impact
Citing Papers
Computational Radiomics System to Decode the Radiographic Phenotype
2017 Standout
Deepfake detection using deep learning methods: A systematic and comprehensive review
2023 Standout
Development of metaverse for intelligent healthcare
2022 Standout
Reproducibility of radiomics for deciphering tumor phenotype with imaging
2016
Secure, privacy-preserving and federated machine learning in medical imaging
2020 Standout
Artificial intelligence in healthcare: past, present and future
2017 Standout
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images
2019
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
The potential for artificial intelligence in healthcare
2019 Standout
An algorithmic approach to reducing unexplained pain disparities in underserved populations
2021
Residual γH2AX foci after ex vivo irradiation of patient samples with known tumour-type specific differences in radio-responsiveness
2015
ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging
2019
Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
2016
Impact of experimental design on PET radiomics in predicting somatic mutation status
2017
Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer
2017
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
2018
Applications and limitations of radiomics
2016
Characterization of PET/CT images using texture analysis: the past, the present… any future?
2016
AI in health and medicine
2022 Standout
Radiomics: Images Are More than Pictures, They Are Data
2015 Standout
Nasopharyngeal carcinoma
2019 Standout
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Machine Learning methods for Quantitative Radiomic Biomarkers
2015 Standout
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy
2019
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
Designing deep learning studies in cancer diagnostics
2021
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Can radiomics features be reproducibly measured from CBCT images for patients with non‐small cell lung cancer?
2015
The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
2023 Standout
Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells
2015
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
2022
Harnessing multimodal data integration to advance precision oncology
2021
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
2015
Artificial intelligence in radiology
2018 Standout
Radiomics: the bridge between medical imaging and personalized medicine
2017 Standout
Artificial intelligence in radiation oncology
2020
External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma
2015
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell–Renal-Cell-Carcinoma: Proof-of-Concept Study
2017
Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC
2016
Artificial Intelligence as Augmenting Automation: Implications for Employment
2020 Standout
Algorithms at Work: The New Contested Terrain of Control
2019 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
When Machines Think: Radiology’s Next Frontier
2017
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
2017
Artificial intelligence, bias and clinical safety
2019 Standout
Data Analysis Strategies in Medical Imaging
2018
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
2018 Standout
Radiomics in lung cancer: Its time is here
2017
The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review
2018
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Artificial Intelligence in Cancer Research and Precision Medicine
2021
The Potential of Radiomic-Based Phenotyping in Precision Medicine
2016
Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures
2016
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Deep Learning-based Smart Predictive Evaluation for Interactive Multimedia-enabled Smart Healthcare
2022
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout
Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning
2019
Defining the biological basis of radiomic phenotypes in lung cancer
2017
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer
2016
Works of Thibaud Coroller being referenced
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
2017
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
2019
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT
2017
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non–Small Cell Lung Cancer
2016
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer
2016
Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction
2016
Radiomic phenotype features predict pathological response in non-small cell lung cancer
2016
Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients
2016
Radiographic prediction of meningioma grade by semantic and radiomic features
2017
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
2015
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
2018