Meier, Raphael

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Journal Article

Beyeler, Morin; Weber, Loris; Kurmann, Christoph C; Piechowiak, Eike Immo I; Mosimann, Pascal J; Zibold, Felix; Meinel, Thomas Raphael; Branca, Mattia; Göldlin, Martina; Pilgram-Pastor, Sara M; Grunder, Lorenz; Arnold, Marcel; Seiffge, David; Meier, Raphael; Heldner, Mirjam R; Dobrocky, Tomas; Mordasini, Pasquale; Gralla, Jan; Fischer, Urs and Kaesmacher, Johannes (2021). Association of reperfusion success and emboli in new territories with long term mortality after mechanical thrombectomy. (In Press). Journal of neurointerventional surgery BMJ Publishing Group 10.1136/neurintsurg-2021-017422

Pinto, Adriano; Pereira, Sérgio; Meier, Raphael; Wiest, Roland; Alves, Victor; Reyes, Mauricio; Silva, Carlos A (2021). Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical image analysis, 69(101888), p. 101888. Elsevier 10.1016/

Reyes, Mauricio; Meier, Raphael; Pereira, Sérgio; Silva, Carlos A; Dahlweid, Fried-Michael; von Tengg-Kobligk, Hendrik; Summers, Ronald M; Wiest, Roland (2020). On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology: artificial intelligence, 2(3), e190043. Radiological Society of North America 10.1148/ryai.2020190043

Kaesmacher, Johannes; Kurmann, Christoph; Jungi, Noel; Breiding, Philipe; Lang, Matthias F.; Meier, Raphael; Dobrocky, Tomas; Piechowiak, Eike; Zibold, Felix; Bellwald, Sebastian; Meinel, Thomas R.; Heldner, Mirjam R.; Mordasini, Pasquale; Arnold, Marcel; Mosimann, Pascal J.; Goyal, Mayank; Gralla, Jan; Fischer, Urs (2020). Infarct in new territory after endovascular stroke treatment: A diffusion-weighted imaging study. Scientific Reports, 10(1), p. 8366. Nature Publishing Group 10.1038/s41598-020-64495-2

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

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

Meier, Raphael; Lux, Paula; Jung, Simon; Fischer, Urs; Gralla, Jan; Reyes, Mauricio; Wiest, Roland; McKinley, Richard; Kaesmacher, Johannes (2019). Neural network-derived perfusion Maps for the assessment of lesions in patients with acute ischemic stroke (Submitted). Radiology: artificial intelligence Radiological Society of North America 10.1148/ryai.2019190019

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

Kaesmacher, Johannes; Mosimann, Pascal John; Giarrusso, Mattia; El-Koussy, Marwan; Zibold, Felix; Piechowiak, Eike Immo; Dobrocky, Tomas; Meier, Raphael; Jung, Simon; Bellwald, Sebastian; Arnold, Marcel; Mordasini, Pasquale; Fischer, Urs; Gralla, Jan (2018). Multivessel Occlusion in Patients Subjected to Thrombectomy: Prevalence, Associated Factors, and Clinical Implications. Stroke, 49(6), pp. 1355-1362. Lippincott Williams & Wilkins 10.1161/STROKEAHA.118.021276

Pereira, Sérgio; Meier, Raphael; McKinley, Richard; Wiest, Roland; Alves, Victor; Silva, Carlos A; Reyes, Mauricio (2018). Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical image analysis, 44, pp. 228-244. Elsevier 10.1016/

Kellner-Weldon, Frauke; Stippich, Christoph; Wiest, Roland; Lehmann, Vera; Meier, Raphael; Beck, Jürgen; Schucht, Philippe; Raabe, Andreas; Reyes, Mauricio; Bink, Andrea (2017). Comparison of perioperative automated versus manual two-dimensional tumor analysis in glioblastoma patients. European journal of radiology, 95, pp. 75-81. Elsevier 10.1016/j.ejrad.2017.07.028

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

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

Rios Velazquez, Emmanuel; Meier, Raphael; Dunn, William D; Alexander, Brian; Wiest, Roland; Bauer, Stefan; Gutman, David A; Reyes, Mauricio; Aerts, Hugo J W L (2015). Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. Scientific Reports, 5(16822), p. 16822. Nature Publishing Group 10.1038/srep16822

Book Section

Meier, Raphael; Karamitsou, Venetia; Habegger, Simon; Wiest, Roland; Reyes, Mauricio (2016). Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Lecture Notes in Computer Science: Vol. 9556 (pp. 156-167). Cham: Springer International Publishing 10.1007/978-3-319-30858-6_14

Conference or Workshop Item

Meier, R.; Lux, P.; McKinley, R.; Jung, S.; Fischer, U.; Gralla, J.; Wiest, R.; Kaesmacher, J. (2020). Threshold-based identification of persistent infarction after successful thrombectomy. International journal of stroke, 15(S1), p. 35. Sage

Jungo, Alain; Meier, Raphael; Ermis, Ekin; Herrmann, Evelyn; Reyes, Mauricio (2018). Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. In: International Conference on Medical Imaging with Deep Learning. 04-06.07.2018.

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

Jungo, Alain; Meier, Raphael; Ermis, Ekin; Blatti-Moreno, Marcela; Herrmann, Evelyn; Wiest, Roland; Reyes, Mauricio (2018). On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Lecture Notes in Computer Science: Vol. 11070 (pp. 682-690). Springer 10.1007/978-3-030-00928-1_77

Pinto, Adriano; Pereira, Sérgio; Meier, Raphael; Alves, Victor; Wiest, Roland; Silva, Carlos A.; Reyes, Mauricio (2018). Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. In: Frangi, Alejandro F.; Schnabel, Julia A.; Davatzikos, Christos; Alberola-López, Carlos; Fichtinger, Gabor (eds.) Medical Image Computing and Computer Assisted Interventions. Lecture Notes in Computer Science: Vol. 11072 (pp. 107-115). Cham: Springer International Publishing 10.1007/978-3-030-00931-1_13

Pereira, Sérgio; Meier, Raphael; Alves, Victor; Reyes, Mauricio; Silva, Carlos A. (2018). Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. In: Understanding and Interpreting Machine Learning in Medical Image Computing Applications. Lecture Notes in Computer Science: Vol. 11038 (pp. 106-114). Cham: Springer International Publishing 10.1007/978-3-030-02628-8_12

Meier, Raphael; Bauer, Stefan; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (September 2014). Patient-Specific Semi-Supervised Learning for Postoperative Brain Tumor Segmentation. In: Medical Image Computing and Computer-Assisted Intervention — MICCAI 2014. Proceedings, Part I. Lecture Notes in Computer Science: Vol. 17 (pp. 714-721). Springer

Bauer, Stefan; Porz, Nicole; Meier, Raphael; Pica, Alessia; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (2014). Interactive Segmentation of MR Images from Brain Tumor Patients. In: ISBI 2014: Proceedings of the 2014 IEEE international conference on Biomedical imaging (pp. 862-865). Beijing: IEEE 10.1109/ISBI.2014.6868007

Meier, Raphael; Bauer, Stefan; Slotboom, Johannes; Wiest, Roland; Reyes, Mauricio (2013). A Hybrid Model for Multimodal Brain Tumor Segmentation. NCI-MICCAI Challenge on Multimodal Brain Tumor Segmentation. Proceedings of NCI-MICCAI BRATS 2013, pp. 31-37. Nagoya: Miccai Society

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