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Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (July 2022). Effectiveness of a state-of-the art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished). In: ECR 2022.
Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (July 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe Dixon liver MRI using an artificial neural network (Unpublished). In: ECR 2022.
Zbinden, Lukas; Catucci, Damiano; Suter, Yannick Raphael; Hulbert, Leona; Berzigotti, Annalisa; Brönnimann, Michael; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (2023). Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning. European journal of radiology, 167, p. 111047. Elsevier 10.1016/j.ejrad.2023.111047
Ocaña-Tienda, Beatriz; Pérez-Beteta, Julián; Villanueva-García, José D; Romero-Rosales, José A; Molina-García, David; Suter, Yannick; Asenjo, Beatriz; Albillo, David; Ortiz de Mendivil, Ana; Pérez-Romasanta, Luis A; González-Del Portillo, Elisabet; Llorente, Manuel; Carballo, Natalia; Nagib-Raya, Fátima; Vidal-Denis, Maria; Luque, Belén; Reyes, Mauricio; Arana, Estanislao; Pérez-García, Víctor M (2023). A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data. Scientific data, 10(1), p. 208. 10.1038/s41597-023-02123-0
Rüfenacht, Elias; Kamath, Amith; Suter, Yannick; Poel, Robert; Ermiş, Ekin; Scheib, Stefan; Reyes, Mauricio (2023). PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Computer methods and programs in biomedicine, 231(107374), p. 107374. Elsevier 10.1016/j.cmpb.2023.107374
Suter, Yannick; Notter, Michelle; Meier, Raphael; Loosli, Tina; Schucht, Philippe; Wiest, Roland; Reyes, Mauricio; Knecht, Urspeter (2023). Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. Frontiers in radiology, 3(1211859), p. 1211859. Frontiers Media 10.3389/fradi.2023.1211859
Zbinden, Lukas; Catucci, Damiano; Suter, Yannick; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (2022). Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. Scientific Reports, 12(1) Nature Publishing Group 10.1038/s41598-022-26328-2
Suter, Yannick; Knecht, Urspeter; Valenzuela, Waldo; Notter, Michelle; Hewer, Ekkehard; Schucht, Philippe; Wiest, Roland; Reyes, Mauricio (2022). The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation. Scientific data, 9(1), p. 768. Nature Publishing Group 10.1038/s41597-022-01881-7
Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Effectiveness of a state-of-the-art neural network for liver parenchyma, portal and hepatic vein segmentation based on a standard non-contrast T1-vibe Dixon sequence (Unpublished). In: ESGAR 2022. Lisbon. May 2022.
Zbinden, Lukas; Catucci, D; Suter, Yannick Raphael; Berzigotti, Annalisa; Ebner, Lukas; Christe, Andreas; Obmann, Verena Carola; Sznitman, Raphael; Huber, Adrian Thomas (May 2022). Automated liver segmental volume ratio (LSVR) quantification on non-contrast T1 vibe dixon liver MRI using an artificial neural network (Unpublished). In: ESGAR 2022. Lisbon. May 2022.
Suter, Yannick; Knecht, Urspeter; Wiest, Roland; Reyes, Mauricio (2021). Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. Lecture notes in computer science, 12658, pp. 307-317. Springer 10.1007/978-3-030-72084-1_28
Suter, Yannick; Knecht, Urspeter; Alao, Mariana; Valenzuela, Waldo; Hewer, Ekkehard; Schucht, Philippe; Wiest, Roland; Reyes, Mauricio (2020). Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques. Cancer imaging : the official publication of the International Cancer Imaging Society, 20(55), pp. 1-13. BioMed Central 10.1186/s40644-020-00329-8
Rebsamen, Michael; Suter, Yannick; Wiest, Roland; Reyes, Mauricio; Rummel, Christian (2020). Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning. Frontiers in neurology, 11(244), p. 244. Frontiers Media S.A. 10.3389/fneur.2020.00244
Suter, Yannick Raphael; Jungo, Alain; Rebsamen, Michael; Knecht, Urspeter; Herrmann, Evelyn; Wiest, Roland; Reyes, Mauricio (26 January 2019). Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. Lecture notes in computer science, 11384, pp. 429-440. Cham: Springer 10.1007/978-3-030-11726-9_38
Suter, Yannick Raphael; Rummel, Christian; Wiest, Roland; Reyes, Mauricio (2018). Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (pp. 1052-1055). IEEE 10.1109/ISBI.2018.8363752
