Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms von Pemberton, HG, Wu, J, Kommers, I, Müller, DMJ, Hu, Y, Goodkin, O, Vos, SB, Bisdas, S, Robe, PA, Ardon, H, Bello, L, Rossi, M, Sciortino, T, Nibali, MC, Berger, MS, Hervey-Jumper, SL, Bouwknegt, W, Van den Brink, WA, Furtner, J, Han, SJ, Idema, AJS, Kiesel, B, Widhalm, G, Kloet, A, Wagemakers, M, Zwinderman, AH, Krieg, SM, Mandonnet, E, Prados, F, de Witt Hamer, P, Barkhof, F, Eijgelaar, RS

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Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks von Helland, RH, Ferles, A, Pedersen, A, Kommers, I, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Dunås, T, Nibali, MC, Furtner, J, Hervey-Jumper, S, Idema, AJS, Kiesel, B, Tewari, RN, Mandonnet, E, Müller, DMJ, Robe, PA, Rossi, M, Sagberg, LM, Sciortino, T, Aalders, T, Wagemakers, M, Widhalm, G, Witte, MG, Zwinderman, AH, Majewska, PL, Jakola, AS, Solheim, O, Hamer, PCDW, Reinertsen, I, Eijgelaar, RS, Bouget, D

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On the cutting edge of glioblastoma surgery: where neurosurgeons agree and disagree on surgical decisions von Müller, DMJ, Robe, PA, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Bouwknegt, W, Van den Brink, WA, Conti Nibali, M, Eijgelaar, RS, Furtner, J, Han, SJ, Hervey-Jumper, SL, Idema, AJS, Kiesel, B, Kloet, A, Mandonnet, E, De Munck, JC, Rossi, M, Sciortino, T, Vandertop, WP, Visser, M, Wagemakers, M, Widhalm, G, Witte, MG, Zwinderman, AH, De Witt Hamer, PC

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Accurate MR Image Registration to Anatomical Reference Space for Diffuse Glioma von Visser, M, Petr, J, Muller, DMJ, Eijgelaar, RS, Hendriks, EJ, Witte, M, Barkhof, F, van Herk, M, Mutsaerts, HJMM, Vrenken, H, de Munck, JC, Hamer, PCDW

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Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task von Bouget, D, Eijgelaar, RS, Pedersen, A, Kommers, I, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Nibali, MC, Furtner, J, Fyllingen, EH, Hervey-Jumper, S, Idema, AJS, Kiesel, B, Kloet, A, Mandonnet, E, Müller, DMJ, Robe, PA, Rossi, M, Sagberg, LM, Sciortino, T, Van den Brink, WA, Wagemakers, M, Widhalm, G, Witte, MG, Zwinderman, AH, Reinertsen, I, De Witt Hamer, PC, Solheim, O

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Glioblastoma surgery imaging—reporting and data system: Standardized reporting of tumor volume, location, and resectability based on automated segmentations von Kommers, I, Bouget, D, Pedersen, A, Eijgelaar, RS, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Nibali, MC, Furtner, J, Fyllingen, EH, Hervey-Jumper, S, Idema, AJS, Kiesel, B, Kloet, A, Mandonnet, E, Müller, DMJ, Robe, PA, Rossi, M, Sagberg, LM, Sciortino, T, van den Brink, WA, Wagemakers, M, Widhalm, G, Witte, MG, Zwinderman, AH, Reinertsen, I, Solheim, O, De Witt Hamer, PC

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Quantifying eloquent locations for glioblastoma surgery using resection probability maps von Müller, DMJ, Robe, PA, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Bouwknegt, W, Van den Brink, WA, Conti Nibali, M, Eijgelaar, RS, Furtner, J, Han, SJ, Hervey-Jumper, SL, Idema, AJS, Kiesel, B, Kloet, A, De Munck, JC, Rossi, M, Sciortino, T, Vandertop, WP, Visser, M, Wagemakers, M, Widhalm, G, Witte, MG, Zwinderman, AH, De Witt Hamer, PC

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Robust Deep Learning–based Segmentation of Glioblastoma on Routine Clinical MRI Scans Using Sparsified Training von Eijgelaar, RS, Visser, M, Müller, DMJ, Barkhof, F, Vrenken, H, van Herk, M, Bello, L, Conti Nibali, M, Rossi, M, Sciortino, T, Berger, MS, Hervey-Jumper, S, Kiesel, B, Widhalm, G, Furtner, J, Robe, PAJT, Mandonnet, E, De Witt Hamer, PC, de Munck, JC, Witte, MG

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Timing of glioblastoma surgery and patient outcomes: a multicenter cohort study von Müller, DMJ, De Swart, ME, Ardon, H, Barkhof, F, Bello, L, Berger, MS, Bouwknegt, W, Van den Brink, WA, Conti Nibali, M, Eijgelaar, RS, Furtner, J, Han, SJ, Hervey-Jumper, S, Idema, AJS, Kiesel, B, Kloet, A, Mandonnet, E, Robe, PAJT, Rossi, M, Sciortino, T, Vandertop, WP, Visser, M, Wagemakers, M, Widhalm, G, Witte, MG, De Witt Hamer, PC

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Facing privacy in neuroimaging: Removing facial features degrades performance of image analysis methods von de Sitter, A, Visser, M, Brouwer, I, Cover, KS, van Schijndel, RA, Eijgelaar, RS, Muller, DMJ, Ropele, S, Kappos, L, Rovira, A, Filippi, M, Enzinger, C, Frederiksen, J, Ciccarelli, O, Guttmann, CRG, Wattjes, MP, Witte, MG, de Witt Hamer, PC, Barkhof, F, Vrenken, H, on behalf of the MAGNIMS Study Group and Alzheimer's Disease Neu

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Earliest radiological progression in glioblastoma by multidisciplinary consensus review von Eijgelaar, RS, Bruynzeel, AME, Lagerwaard, FJ, Müller, DMJ, Teunissen, FR, Barkhof, F, van Herk, M, De Witt Hamer, PC, Witte, MG

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Comparing Glioblastoma Surgery Decisions Between Teams Using Brain Maps of Tumor Locations, Biopsies, and Resections von Müller, DMJ, Robe, PAJT, Eijgelaar, RS, Witte, MG, Visser, M, de Munck, JC, Broekman, MLD, Seute, T, Hendrikse, J, Noske, DP, Vandertop, WP, Barkhof, F, Kouwenhoven, MCM, Mandonnet, E, Berger, MS, De Witt Hamer, PC

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Inter-rater agreement in glioma segmentations on longitudinal MRI von Visser, M, Müller, DMJ, van Duijn, RJM, Smits, M, Verburg, N, Hendriks, EJ, Nabuurs, RJA, Bot, JCJ, Eijgelaar, RS, Witte, M, van Herk, MB, Barkhof, F, de Witt Hamer, PC, de Munck, JC

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