Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye

by Hester E. Haak, Hester E. Haak, Hester E. Haak, Monique Maas, Stefano Trebeschi, Stefano Trebeschi, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan
Published 2020-10-01

Response evaluation after neoadjuvant treatment for rectal cancer using modern MR imaging: a pictorial review

by Doenja M. J. Lambregts, Thierry N. Boellaard, Regina G. H. Beets-Tan
Published 2019-02-01

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models.

by Georgios C Manikis, Kostas Marias, Doenja M J Lambregts, Katerina Nikiforaki, Miriam M van Heeswijk, Frans C H Bakers, Regina G H Beets-Tan, Nikolaos Papanikolaou
Published 2018-01-01

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models.

by Georgios C Manikis, Kostas Marias, Doenja M J Lambregts, Katerina Nikiforaki, Miriam M van Heeswijk, Frans C H Bakers, Regina G H Beets-Tan, Nikolaos Papanikolaou
Published 2017-01-01

Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models.

by Georgios C Manikis, Kostas Marias, Doenja M J Lambregts, Katerina Nikiforaki, Miriam M van Heeswijk, Frans C H Bakers, Regina G H Beets-Tan, Nikolaos Papanikolaou
Published 2017-01-01

Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy

by Stefano Trebeschi, Stefano Trebeschi, Stefano Trebeschi, Zuhir Bodalal, Zuhir Bodalal, Nick van Dijk, Thierry N. Boellaard, Paul Apfaltrer, Paul Apfaltrer, Teresa M. Tareco Bucho, Teresa M. Tareco Bucho, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Michiel S. van der Heijden, Michiel S. van der Heijden, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan
Published 2021-04-01

The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor.

by Elias Nerad, Andrea Delli Pizzi, Doenja M J Lambregts, Monique Maas, Sharan Wadhwani, Frans C H Bakers, Harrie C M van den Bosch, Regina G H Beets-Tan, Max J Lahaye
Published 2019-01-01

Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy

by Stefano Trebeschi, Stefano Trebeschi, Stefano Trebeschi, Zuhir Bodalal, Zuhir Bodalal, Thierry N. Boellaard, Teresa M. Tareco Bucho, Teresa M. Tareco Bucho, Silvia G. Drago, Ieva Kurilova, Ieva Kurilova, Adriana M. Calin-Vainak, Adriana M. Calin-Vainak, Andrea Delli Pizzi, Andrea Delli Pizzi, Mirte Muller, Karlijn Hummelink, Koen J. Hartemink, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Egbert F. Smit, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan
Published 2021-03-01

Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer

by Sanaz Samiei, Renée W. Y. Granzier, Abdalla Ibrahim, Sergey Primakov, Marc B. I. Lobbes, Regina G. H. Beets-Tan, Thiemo J. A. van Nijnatten, Sanne M. E. Engelen, Henry C. Woodruff, Marjolein L. Smidt
Published 2021-02-01

Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

by Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets-Tan, Hugo J. W. L. Aerts
Published 2018-02-01

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

by Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets-Tan, Hugo J. W. L. Aerts
Published 2017-07-01

MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer

by Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, Martina d’Annibale, Pierpaolo Croce, Consuelo Rosa, Domenico Mastrodicasa, Stefano Trebeschi, Doenja Marina Johanna Lambregts, Daniele Caposiena, Francesco Lorenzo Serafini, Raffaella Basilico, Giulio Cocco, Pierluigi Di Sebastiano, Sebastiano Cinalli, Antonio Ferretti, Richard Geoffrey Wise, Domenico Genovesi, Regina G. H. Beets-Tan, Massimo Caulo
Published 2021-03-01