Standout Papers

Computational Radiomics System to Decode the Radiographic Phenotype 2014 2026 2018 2022 3.9k
  1. Computational Radiomics System to Decode the Radiographic Phenotype (2017)
    Joost J. M. van Griethuysen, Andriy Fedorov et al. Cancer Research
  2. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2014)
    Hugo J.W.L. Aerts, Emmanuel Rios Velazquez et al. Nature Communications
  3. Artificial intelligence in radiology (2018)
    Ahmed Hosny, Chintan Parmar et al. Nature reviews. Cancer
  4. Machine Learning methods for Quantitative Radiomic Biomarkers (2015)
    Chintan Parmar, Patrick Großmann et al. Scientific Reports
  5. Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation (2014)
    Chintan Parmar, Emmanuel Rios Velazquez et al. PLoS ONE
  6. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study (2018)
    Ahmed Hosny, Chintan Parmar et al. PLoS Medicine
  7. Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging (2019)
    Yiwen Xu, Ahmed Hosny et al. Clinical Cancer Research
  8. Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers (2019)
    Stefano Trebeschi, Silvia Girolama Drago et al. Annals of Oncology
  9. Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer (2015)
    Chintan Parmar, Ralph T. H. Leijenaar et al. Scientific Reports
  10. Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology (2016)
    Weimiao Wu, Chintan Parmar et al. Frontiers in Oncology
  11. Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (2015)
    Chintan Parmar, Patrick Großmann et al. Frontiers in Oncology

Immediate Impact

9 from Science/Nature 93 standout
Sub-graph 1 of 19

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16 intermediate papers

Works of Chintan Parmar being referenced

Artificial intelligence in radiology
2018 Standout
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
2018 Standout
and 12 more

Author Peers

Author Last Decade Papers Cites
Chintan Parmar 12670 5141 3637 36 14.7k
Ralph T. H. Leijenaar 14464 5863 4075 82 15.9k
Ahmed Hosny 6853 2582 2109 49 9.2k
Sara Carvalho 8487 3370 2330 36 9.4k
André Dekker 17845 8279 5166 318 22.1k
Patrick Großmann 6484 2968 1859 29 7.5k
Issam El Naqa 7869 5802 2226 323 13.9k
Raymond H. Mak 5022 3724 1564 195 15.8k
Wouter van Elmpt 8065 4025 2401 189 9.8k
Di Dong 6875 3737 1597 182 8.9k
Emmanuel Rios Velazquez 6251 2837 1775 32 7.0k

All Works

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2026