Standout Papers
- Radiomics: Extracting more information from medical images using advanced feature analysis (2012)
- Radiomics: the bridge between medical imaging and personalized medicine (2017)
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2014)
- Radiomics: the process and the challenges (2012)
- Machine Learning methods for Quantitative Radiomic Biomarkers (2015)
- The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5 (2009)
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma (2015)
- Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation (2014)
- Selection of patients for radiotherapy with protons aiming at reduction of side effects: The model-based approach (2013)
- Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer (2015)
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis (2015)
- Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology (2016)
- Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer (2015)
- Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial (2019)
- Transparency of deep neural networks for medical image analysis: A review of interpretability methods (2021)
- A review in radiomics: Making personalized medicine a reality via routine imaging (2021)
- Criteria for the translation of radiomics into clinically useful tests (2022)
Immediate Impact
13 by Nobel laureates 4 from Science/Nature 64 standout
Citing Papers
Theranostic Fluorescent Probes
2024 Standout
Nanomedicine Tumor Targeting
2024 Standout
Works of Philippe Lambin being referenced
Quantitative assessment of Zirconium-89 labeled cetuximab using PET/CT imaging in patients with advanced head and neck cancer: a theragnostic approach
2016
Chemical Reactivity Window Determines Prodrug Efficiency toward Glutathione Transferase Overexpressing Cancer Cells
2016
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Philippe Lambin | 28367 | 16811 | 5686 | 8749 | 705 | 44.5k | |
| Lawrence H. Schwartz | 15824 | 20087 | 1481 | 20632 | 386 | 50.1k | |
| Peter L. Choyke | 18412 | 31579 | 1089 | 7496 | 1.1k | 62.4k | |
| Walter J. Curran | 7926 | 19192 | 5212 | 10223 | 661 | 36.0k | |
| Hugo J.W.L. Aerts | 25657 | 10893 | 1240 | 5071 | 258 | 31.0k | |
| Robert J. Gillies | 26455 | 11409 | 532 | 8681 | 492 | 54.6k | |
| Richard L. Wahl | 19189 | 8277 | 2223 | 6438 | 528 | 33.0k | |
| Hedvig Hricak | 19625 | 16935 | 1097 | 2712 | 623 | 38.5k | |
| André Dekker | 17845 | 8279 | 2705 | 3662 | 318 | 22.1k | |
| Søren M. Bentzen | 10094 | 11847 | 8159 | 7261 | 530 | 28.5k | |
| Mithat Gönen | 8277 | 18942 | 696 | 25916 | 769 | 58.9k |
All Works
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