Henry C. Woodruff

10.8k total citations · 4 hit papers
104 papers, 6.8k citations indexed

About

Henry C. Woodruff is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Henry C. Woodruff has authored 104 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Pulmonary and Respiratory Medicine and 26 papers in Artificial Intelligence. Recurrent topics in Henry C. Woodruff's work include Radiomics and Machine Learning in Medical Imaging (70 papers), AI in cancer detection (22 papers) and Medical Imaging Techniques and Applications (20 papers). Henry C. Woodruff is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (70 papers), AI in cancer detection (22 papers) and Medical Imaging Techniques and Applications (20 papers). Henry C. Woodruff collaborates with scholars based in Netherlands, Germany and Belgium. Henry C. Woodruff's co-authors include Philippe Lambin, Sebastian Sanduleanu, Arthur Jochems, Janita E. van Timmeren, Ralph T. H. Leijenaar, Felix M. Mottaghy, Joachim E. Wildberger, Evelyn E.C. de Jong, Jurgen Peerlings and Seán Walsh and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Henry C. Woodruff

101 papers receiving 6.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiomics: the bridge between medical imaging and personalized medicine

2017 3.7k citations Philippe Lambin, Ralph T. H. Leijenaar et al. Nature Reviews Clinical Oncology profile →
Transparency of deep neural networks for medical image analysis: A review of interpretability methods

2021 253 citations Zohaib Salahuddin, Henry C. Woodruff et al. Computers in Biology and Medicine profile →
Radiomics: from qualitative to quantitative imaging

2020 224 citations Turkey Refaee, Renée W. Y. Granzier et al. profile →
Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial

2019 221 citations Henry C. Woodruff, Abdalla Ibrahim et al. Scientific Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Henry C. Woodruff Netherlands	35	5.5k	2.2k	1.5k	1.1k	1.0k	104	6.8k
Janita E. van Timmeren Netherlands	22	5.5k 1.0×	2.2k 1.0×	1.6k 1.1×	887 0.8×	1.1k 1.1×	49	6.3k
Emmanuel Rios Velazquez United States	20	6.6k 1.2×	3.0k 1.3×	1.9k 1.2×	1.3k 1.1×	1.3k 1.2×	32	7.4k
Patrick Großmann United States	17	6.8k 1.2×	3.1k 1.4×	2.0k 1.3×	1.4k 1.3×	1.4k 1.3×	31	7.9k
Seán Walsh United States	24	3.9k 0.7×	1.6k 0.7×	1.0k 0.7×	771 0.7×	824 0.8×	56	5.5k
D. Rietveld Netherlands	21	4.4k 0.8×	2.4k 1.1×	1.1k 0.8×	815 0.7×	1.3k 1.2×	34	6.2k
Sara Carvalho Netherlands	17	8.9k 1.6×	3.5k 1.6×	2.5k 1.6×	1.5k 1.4×	1.7k 1.7×	37	9.9k
Di Dong China	53	7.3k 1.3×	4.0k 1.8×	1.7k 1.1×	1.6k 1.4×	1.6k 1.5×	199	9.5k
Binsheng Zhao United States	46	4.3k 0.8×	3.1k 1.4×	1.3k 0.9×	796 0.7×	1.3k 1.2×	140	6.5k
Timo M. Deist Netherlands	11	3.6k 0.7×	1.5k 0.7×	927 0.6×	684 0.6×	791 0.8×	16	4.4k
Sandy Napel United States	57	5.9k 1.1×	3.6k 1.6×	1.9k 1.2×	1.3k 1.2×	1.4k 1.3×	190	9.8k

Countries citing papers authored by Henry C. Woodruff

Since Specialization

Citations

This map shows the geographic impact of Henry C. Woodruff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Henry C. Woodruff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry C. Woodruff more than expected).

Fields of papers citing papers by Henry C. Woodruff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry C. Woodruff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Henry C. Woodruff. The network helps show where Henry C. Woodruff may publish in the future.

Co-authorship network of co-authors of Henry C. Woodruff

This figure shows the co-authorship network connecting the top 25 collaborators of Henry C. Woodruff. A scholar is included among the top collaborators of Henry C. Woodruff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Henry C. Woodruff. Henry C. Woodruff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Halilaj, Iva, et al.. (2025). Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study. Cancers. 17(5). 768–768.

Vermeulen, Ilse, et al.. (2025). Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward. Journal of NeuroEngineering and Rehabilitation. 22(1). 204–204. 1 indexed citations

Woodruff, Henry C., Xian Zhong, Kuang Sheng, et al.. (2025). Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine. Nature Reviews Clinical Oncology. 22(11). 831–846. 4 indexed citations

Connor, Kate, Emer Conroy, Kieron White, et al.. (2024). A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring. Scientific Reports. 14(1). 2720–2720. 2 indexed citations

Peeken, Jan C., Stefan Münch, Lars Schüttrumpf, et al.. (2024). Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas. Radiotherapy and Oncology. 197. 110338–110338. 5 indexed citations

Casale, Roberto, Zohaib Salahuddin, Thomas Guiot, et al.. (2024). Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study. Diagnostics. 14(7). 712–712. 1 indexed citations

Primakov, Sergey, et al.. (2023). Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis. Software Impacts. 16. 100508–100508. 3 indexed citations

Salahuddin, Zohaib, Henry C. Woodruff, Anja G. van der Kolk, et al.. (2023). UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. IEEE Access. 11. 26637–26651. 5 indexed citations

Ibrahim, Abdalla, Akshayaa Vaidyanathan, Sergey Primakov, et al.. (2023). Deep learning based identification of bone scintigraphies containing metastatic bone disease foci. Cancer Imaging. 23(1). 12–12. 11 indexed citations

10.

Beuque, Manon, Henry C. Woodruff, Nicholas Marshall, et al.. (2022). Synthetic data of simulated microcalcification clusters to train and explain deep learning detection models in contrast-enhanced mammography. Research Publications (Maastricht University). 2–2. 1 indexed citations

11.

Chatterjee, Avishek, et al.. (2022). Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data. MDPI (MDPI AG). 2(1). 13–26. 4 indexed citations

12.

Refaee, Turkey, Benjamin Bondue, Gaëtan Van Simaeys, et al.. (2022). A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis. Journal of Personalized Medicine. 12(3). 373–373. 9 indexed citations

13.

Peeken, Jan C., Jan Neumann, Yannik Leonhardt, et al.. (2021). Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics. Cancers. 13(8). 1929–1929. 30 indexed citations

14.

Keek, Simon, Frederik Wesseling, Henry C. Woodruff, et al.. (2021). A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images. Cancers. 13(13). 3271–3271. 19 indexed citations

15.

Granzier, Renée W. Y., Abdalla Ibrahim, Sergey Primakov, et al.. (2021). MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study. Cancers. 13(10). 2447–2447. 26 indexed citations

16.

Peeken, Jan C., Katja Specht, Eleanor Y. Chen, et al.. (2021). MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy. Radiotherapy and Oncology. 164. 73–82. 46 indexed citations

17.

Beuque, Manon, Marta Martin‐Lorenzo, Benjamin Balluff, et al.. (2021). Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging. Computers in Biology and Medicine. 138. 104918–104918. 17 indexed citations

18.

Wijk, Yvonka van, Bram Ramaekers, Ben Vanneste, et al.. (2021). Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost–Utility Study. Cancers. 13(11). 2687–2687. 2 indexed citations

19.

Yan, Chenggong, Haixia Li, Tianjing Zhang, et al.. (2021). Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis. Korean Journal of Radiology. 22(6). 983–983. 13 indexed citations

20.

Granzier, Renée W. Y., Abdalla Ibrahim, Janita E. van Timmeren, et al.. (2020). MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability. Scientific Reports. 10(1). 14163–14163. 54 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact