 | Up a level |
Schmidt-Pogoda, Antje; Kaesmacher, Johannes; Bonberg, Nadine; Werring, Nils; Strecker, Jan-Kolja; Koecke, Mailin Hannah Marie; Beuker, Carolin; Gralla, Jan; Meier, Raphael; Wiendl, Heinz; Minnerup, Heike; Fischer, Urs; Minnerup, Jens (2024). The dilemma of neuroprotection trials in times of successful endovascular recanalization. Frontiers in neurology, 15(1383494) Frontiers Media S.A. 10.3389/fneur.2024.1383494
Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah; Wang, Shih-Han; Reina, G Anthony; Foley, Patrick; Gruzdev, Alexey; Karkada, Deepthi; Davatzikos, Christos; Sako, Chiharu; Ghodasara, Satyam; Bilello, Michel; Mohan, Suyash; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Maier-Hein, Klaus; Zenk, Maximilian; ... (2023). Author Correction: Federated learning enables big data for rare cancer boundary detection. Nature communications, 14(1), p. 436. Nature Publishing Group 10.1038/s41467-023-36188-7
Tetteh, Giles; Navarro, Fernando; Meier, Raphael; Kaesmacher, Johannes; Paetzold, Johannes C; Kirschke, Jan S; Zimmer, Claus; Wiest, Roland; Menze, Bjoern H (2023). A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images. Frontiers in neurology, 14(1039693), p. 1039693. Frontiers Media S.A. 10.3389/fneur.2023.1039693
Köstner, Manuel; Rebsamen, Michael; Radojewski, Piotr; Rummel, Christian; Jin, Baudouin; Meier, Raphael; Ahmadli, Uzeyir; Schindler, Kaspar; Wiest, Roland (2023). Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis. Brain Communications, 5(2), fcad047. Oxford University Press 10.1093/braincomms/fcad047
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
Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah; Wang, Shih-Han; Reina, G Anthony; Foley, Patrick; Gruzdev, Alexey; Karkada, Deepthi; Davatzikos, Christos; Sako, Chiharu; Ghodasara, Satyam; Bilello, Michel; Mohan, Suyash; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Maier-Hein, Klaus; Zenk, Maximilian; ... (2022). Federated learning enables big data for rare cancer boundary detection. Nature communications, 13(1), p. 7346. Nature Publishing Group 10.1038/s41467-022-33407-5
Meinel, Thomas; Lerch, Christine; Fischer, Urs; Beyeler, Morin; Mujanovic, Adnan; Kurmann, Christoph; Siepen, Bernhard; Scutelnic, Adrian; Müller, Madlaine; Goeldlin, Martina; Belachew, Nebiyat Filate; Dobrocky, Tomas; Gralla, Jan; Seiffge, David; Jung, Simon; Arnold, Marcel; Wiest, Roland; Meier, Raphael; Kaesmacher, Johannes (2022). Multivariable Prediction Model for Futile Recanalization Therapies in Patients With Acute Ischemic Stroke. Neurology, 99(10), e1009-e1018. American Academy of Neurology 10.1212/WNL.0000000000200815
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 (2022). Association of reperfusion success and emboli in new territories with long term mortality after mechanical thrombectomy. Journal of neurointerventional surgery, 14(4), pp. 326-332. BMJ Publishing Group 10.1136/neurintsurg-2021-017422
Herren, Fabienne L.; Gerber, Vinzenz; Meier, Raphael; Schweizer-Gorgas, Daniela; Klopfenstein Bregger, Micaël D. (2022). Semi-Automatic Segmentation of Cone Beam Computed Tomography Datasets for Volume Measurements of Equine Cheek Teeth. Journal of veterinary dentistry, 39(1), pp. 41-48. Sage 10.1177/08987564211061630
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/j.media.2020.101888
McKinley, Richard I; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Wiest, Roland (2021). Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. Lecture notes in computer science, 12658, pp. 401-411. Springer 10.1007/978-3-030-72084-1_36
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
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
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/j.media.2017.12.009
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
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
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
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
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
