Henry Woodruff (H.C.A.)

Mali, S. A., Rad, N. M., Woodruff, H. C., Depeursinge, A., Andrearczyk, V., & Lambin, P. (2025). Harmonizing CT scanner acquisition variability in an anthropomorphic phantom: A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combination. PLOS ONE, 20(5), Article e0322365. https://doi.org/10.1371/journal.pone.0322365

Van Camp, A., Woodruff, H. C., Cockmartin, L., Lobbes, M., Majer, M., Balleyguier, C., Marshall, N. W., Bosmans, H., & Lambin, P. (2025). Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography. Journal of medical imaging (Bellingham, Wash.), 12(Suppl 2), Article 22006. https://doi.org/10.1117/1.JMI.12.S2.S22006

van den Ende, T., Kuijper, S. C., Widaatalla, Y., Noortman, W. A., van Velden, F. H. P., Woodruff, H. C., van der Pol, Y., Moldovan, N., Pegtel, D. M., Derks, S., Bijlsma, M. F., Mouliere, F., de Geus-Oei, P. L.-F., Lambin, P. P., & van Laarhoven, P. H. W. M. (2025). Integrating Clinical Variables, Radiomics, and Tumor-derived Cell-free DNA for Enhanced Prediction of Resectable Esophageal Adenocarcinoma Outcomes. International Journal of Radiation Oncology Biology Physics, 121(4), 963-974. https://doi.org/10.1016/j.ijrobp.2024.10.010

Widaatalla, Y., Wolswijk, T., Khan, M. D., Halilaj, I., Mosterd, K., Woodruff, H. C., & Lambin, P. (2025). Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study. Cancers, 17(5), Article 768. https://doi.org/10.3390/cancers17050768

Chen, Y., Pasquier, D., Verstappen, D., Woodruff, H. C., & Lambin, P. (2025). An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy. Journal of Cancer Research and Clinical Oncology, 151(2), Article 84. https://doi.org/10.1007/s00432-025-06119-8

Van Camp, A., Punter, E., Houbrechts, K., Cockmartin, L., Prevos, R., Marshall, N. W., Woodruff, H. C., Lambin, P., & Bosmans, H. (2025). An automated toolbox for microcalcification cluster modeling for mammographic imaging. Medical Physics, 52(2), 1335-1349. https://doi.org/10.1002/mp.17521

Budginaite, E., Magee, D. R., Kloft, M., Woodruff, H. C., & Grabsch, H. I. (2024). Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review. Journal of Pathology Informatics, 15, Article 100367. https://doi.org/10.1016/j.jpi.2024.100367

Verstappen, D., Pasquier, D., Chen, Y., Lambin, P., & Woodruff, H. C. (2024). Radiomic feature robustness in CT scans affected by fiducial marker induced streak artifacts for patients with hepatocellular carcinoma. Medical Physics, 51(11), 8362-8370. https://doi.org/10.1002/mp.17329

Giraldo, D. L., Khan, H., Pineda, G., Liang, Z., Lozano-Castillo, A., Van Wijmeersch, B., Woodruff, H. C., Lambin, P., Romero, E., Peeters, L. M., & Sijbers, J. (2024). Perceptual super-resolution in multiple sclerosis MRI. Frontiers in Neuroscience, 18, Article 1473132. https://doi.org/10.3389/fnins.2024.1473132

Peeken, J. C., Etzel, L., Tomov, T., Münch, S., Schüttrumpf, L., Shaktour, J. H., Kiechle, J., Knebel, C., Schaub, S. K., Mayr, N. A., Woodruff, H. C., Lambin, P., Gersing, A. S., Bernhardt, D., Nyflot, M. J., Menze, B., Combs, S. E., & Navarro, F. (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, Article 110338. https://doi.org/10.1016/j.radonc.2024.110338