Henry Woodruff (H.C.A.)

Peerlings, J., Woodruff, H. C., Winfield, J. M., Ibrahim, A., Van Beers, B. E., Heerschap, A., Jackson, A., Wildberger, J. E., Mottaghy, F. M., DeSouza, N. M., & Lambin, P. (2019). Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial. Scientific Reports, 9(1), 1-10. Article 4800. https://doi.org/10.1038/s41598-019-41344-5

Sanduleanu, S., Woodruff, H. C., de Jong, E. E. C., van Timmeren, J. E., Jochems, A., Dubois, L., & Lambin, P. (2018). Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score. Radiotherapy and Oncology, 127(3), 349-360. https://doi.org/10.1016/j.radonc.2018.03.033

Morin, O., Vallieres, M., Jochems, A., Woodruff, H. C., Valdes, G., Braunstein, S. E., Wildberger, J. E., Villanueva-Meyer, J. E., Kearney, V., Yom, S. S., Solberg, T. D., & Lambin, P. (2018). A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. International Journal of Radiation Oncology Biology Physics, 102(4), 1074-1082. https://doi.org/10.1016/j.ijrobp.2018.08.032

Kipritidis, J., Tahir, B. A., Cazoulat, G., Hofman, M. S., Siva, S., Callahan, J., Hardcastle, N., Yamamoto, T., Christensen, G. E., Reinhardt, J. M., Kadoya, N., Patton, T. J., Gerard, S. E., Duarte, I., Archibald-Heeren, B., Byrne, M., Sims, R., Ramsay, S., Booth, J. T., ... Keall, P. J. (2019). The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging. Medical Physics, 46(3), 1198-1217. https://doi.org/10.1002/mp.13346

Ibrahim, A., Vallieres, M., Woodruff, H., Primakov, S., Beheshti, M., Keek, S., Refaee, T., Sanduleanu, S., Walsh, S., Morin, O., Lambin, P., Hustinx, R., & Mottaghy, F. M. (2019). Radiomics Analysis for Clinical Decision Support in Nuclear Medicine. Seminars in Nuclear Medicine, 49(5), 438-449. https://doi.org/10.1053/j.semnuclmed.2019.06.005

van Timmeren, J. E., Carvalho, S., Leijenaar, R. T. H., Troost, E. G. C., van Elmpt, W., de Ruysscher, D., Muratet, J.-P., Denis, F., Schimek-Jasch, T. A., Nestle, U., Jochems, A., Woodruff, H. C., Oberije, C., & Lambin, P. (2019). Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics. PLOS ONE, 14(6), Article 0217536. https://doi.org/10.1371/journal.pone.0217536

Keek, S. A., Leijenaar, R. T., Jochems, A., & Woodruff, H. C. (2018). A review on radiomics and the future of theranostics for patient selection in precision medicine. British Journal of Radiology, 91(1091), Article 20170926. https://doi.org/10.1259/bjr.20170926

Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., de Jong, E. E. C., van Timmeren, J., Sanduleanu, S., Larue, R. T. H. M., Even, A. J. G., Jochems, A., van Wijk, Y., Woodruff, H., van Soest, J., Lustberg, T., Roelofs, E., van Elmpt, W., Dekker, A., Mottaghy, F. M., Wildberger, J. E., & Walsh, S. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology, 14(12), 749-762. https://doi.org/10.1038/nrclinonc.2017.141

Granzier, R. W. Y., van Nijnatten, T. J. A., Woodruff, H. C., Smidt, M. L., & Lobbes, M. B. (2019). Exploring breast cancer response prediction to neoadjuvant systemic therapy using MRI-based radiomics: A systematic review. European Journal of Radiology, 121, Article 108736. https://doi.org/10.1016/j.ejrad.2019.108736