Standout Papers

Radiomics: the bridge between medical imaging and personalized medicine 2017 2026 2020 2023 3.5k
  1. Radiomics: the bridge between medical imaging and personalized medicine (2017)
    Philippe Lambin, Ralph T. H. Leijenaar et al. Nature Reviews Clinical Oncology

Citation Impact

Citing Papers

Development of metaverse for intelligent healthcare
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Secure, privacy-preserving and federated machine learning in medical imaging
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MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
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Medical image recognition and segmentation of pathological slices of gastric cancer based on Deeplab v3+ neural network
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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
2018
AI in health and medicine
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Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
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Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning
2019
Preparing Medical Imaging Data for Machine Learning
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Multimodal biomedical AI
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Mortality due to cancer treatment delay: systematic review and meta-analysis
2020 Standout
Prediction of the Depth of Tumor Invasion in Gastric Cancer: Potential Role of CT Radiomics
2019
Proton Therapy for Head and Neck Cancers
2017
A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study
2020
Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring
2019
Artificial intelligence in radiation oncology
2020
ESR paper on structured reporting in radiology
2018
Head and Neck Cancer
2020 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Artificial intelligence, bias and clinical safety
2019 Standout
Machine learning and modeling: Data, validation, communication challenges
2018
Artificial Intelligence in Dentistry: Chances and Challenges
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Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout
Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks
2020
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
2018

Works of Tim Lustberg being referenced

Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer – Comparison of dose, toxicity and cost-effectiveness
2016
Radiomics: the bridge between medical imaging and personalized medicine
2017 Standout
Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
2017
Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test
2018
TU‐AB‐202‐10: How Effective Are Current Atlas Selection Methods for Atlas‐Based Auto‐Contouring in Radiotherapy Planning?
2016
Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory
2018
An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning
2019
Rankless by CCL
2026