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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
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
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
Ermis, Ekin; Jungo, Alain; Poel, Robert; Blatti-Moreno, Marcela; Meier, Raphael; Knecht, Urspeter; Aebersold, Daniel M.; Fix, Michael K.; Manser, Peter; Reyes, Mauricio; Herrmann, Evelyn (2020). Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning. Radiation oncology, 15(1), p. 100. BioMed Central 10.1186/s13014-020-01553-z
Hewer, Ekkehard; Banz, Yara; Knecht, Urspeter; Dettmer, Matthias S.; Vassella, Erik (2020). Seminal Vesicle Carcinoma Presenting with Malignant Ascites. Diagnostic Cytopathology, 48(8), pp. 785-786. Wiley 10.1002/dc.24451
Meier, Raphael; Pahud de Mortanges, Aurélie; Wiest, Roland; Knecht, Urspeter (2020). Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases (In Press). Frontiers in oncology, 10 Frontiers Research Foundation 10.3389/fonc.2020.581037
Da Silva Mendes Pedrosa de Barros, Nuno Miguel; Meier, Raphael; Pletscher, Martin; Stettler, Samuel; Knecht, Urspeter; Reyes, Mauricio; Gralla, Jan; Wiest, Roland; Slotboom, Johannes (2019). Analysis of metabolic abnormalities in high-grade glioma using MRSI and convex NMF. NMR in biomedicine, 32(8), e4109. Wiley Interscience 10.1002/nbm.4109
Rebsamen, Michael; Knecht, Urspeter; Reyes, Mauricio; Wiest, Roland; Meier, Raphael; McKinley, Richard (2019). Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation. Frontiers in neuroscience, 13, p. 1182. Frontiers Research Foundation 10.3389/fnins.2019.01182
da Silva Mendes Pedrosa de Barros, Nuno Miguel; Meier, Raphael; Pletscher, Martin; Stettler, Samuel; Knecht, Urspeter; Herrmann, Evelyn; Schucht, Philippe; Reyes, Mauricio; Gralla, Jan; Wiest, Roland; Slotboom, Johannes (2018). On the relation between MR spectroscopy features and the distance to MRI-visible solid tumor in GBM patients. Magnetic resonance in medicine, 80(6), pp. 2339-2355. Wiley-Liss 10.1002/mrm.27359
Porz, Nicole; Knecht, Urspeter; Sick, Beate; Murina, Elvis; Da Silva Mendes Pedrosa de Barros, Nuno Miguel; Schucht, Philippe; Herrmann, Evelyn; Gralla, Jan; Wiest, Roland; El-Koussy, Marwan; Slotboom, Johannes (2018). Computer-aided radiological diagnostics improves the preoperative diagnoses of medulloblastoma, pilocytic astrocytoma, and ependymoma. Clinical and translational neuroscience, 2(2), 2514183X1878660. Sage Publications 10.1177/2514183X18786602
Meier, Raphael; Porz, Nicole; Knecht, Urspeter; Schucht, Philippe; Beck, Jürgen; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (2017). Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma. Journal of neurosurgery, 127(4), pp. 798-806. American Association of Neurological Surgeons 10.3171/2016.9.JNS16146
Porz, Nicole; Habegger, Simon; Meier, Raphael; Verma, Rajeev Kumar; Jilch, Astrid; Fichtner, Jens; Knecht, Urspeter; Radina, Christian; Schucht, Philippe; Beck, Jürgen; Raabe, Andreas; Slotboom, Johannes; Reyes, Mauricio; Wiest, Roland (2016). Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded. PLoS ONE, 11(11), e0165302. Public Library of Science 10.1371/journal.pone.0165302
Fiechter, Michael; Hewer, Ekkehard; Knecht, Urspeter; Wiest, Roland; Beck, Jürgen; Raabe, Andreas; Oertel, Markus Florian (2016). Adult anaplastic pilocytic astrocytoma - a diagnostic challenge? A case series and literature review. Clinical neurology and neurosurgery, 147, pp. 98-104. Elsevier 10.1016/j.clineuro.2016.06.005
Da Silva Mendes Pedrosa, Nuno Miguel; McKinley, Richard; Knecht, Urspeter; Wiest, Roland; Slotboom, Johannes (2016). Automatic quality control in clinical (1) H MRSI of brain cancer. NMR in biomedicine, 29(5), pp. 563-575. Wiley Interscience 10.1002/nbm.3470
Hewer, Ekkehard; Knecht, Urspeter; Ulrich, Christian Thomas (2016). Two adult cases of massively calcified low-grade glioma: expanding clinical spectrum of an emerging entity. Neuropathology, 36(5), pp. 508-509. Wiley 10.1111/neup.12288
Meier, Raphael; Knecht, Urspeter; Loosli, Tina; Bauer, Stefan; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (2016). Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry. Scientific Reports, 6(23376), p. 23376. Nature Publishing Group 10.1038/srep23376
Zimmerli, Stefan; Knecht, Urspeter; Leib, Stephen L. (2007). A model of cerebral aspergillosis in non-immunosuppressed nursing rats. Acta neuropathologica, 114(4), pp. 411-418. Berlin: Springer-Verlag 10.1007/s00401-007-0255-0
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
Jungo, Alain; McKinley, Richard; Meier, Raphael; Knecht, Urspeter; Vera, Luis; Pérez-Beteta, Julián; Molina-García, David; Pérez-García, Víctor M.; Wiest, Roland; Reyes, Mauricio (2018). Towards uncertainty-assisted brain tumor segmentation and survival prediction. In: International Conference On Medical Image Computing & Computer Assisted Intervention. 10.1007/978-3-319-75238-9_40
