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Rebsamen, Michael; McKinley, Richard; Radojewski, Piotr; Pistor, Maximilian; Friedli, Christoph; Hoepner, Robert; Salmen, Anke; Chan, Andrew; Reyes, Mauricio; Wagner, Franca; Wiest, Roland; Rummel, Christian (2023). Reliable brain morphometry from contrast-enhanced T1w-MRI in patients with multiple sclerosis. Human brain mapping, 44(3), pp. 970-979. Wiley-Blackwell 10.1002/hbm.26117
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
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
Rebsamen, Michael; Radojewski, Piotr; McKinley, Richard; Reyes, Mauricio; Wiest, Roland; Rummel, Christian (2022). A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI. Frontiers in neurology, 13, p. 812432. Frontiers Media S.A. 10.3389/fneur.2022.812432
McKinley, Richard; Wepfer, Rik; Aschwanden, Fabian; Grunder, Lorenz; Muri, Raphaela; Rummel, Christian; Verma, Rajeev; Weisstanner, Christian; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wagner, Franca; Wiest, Roland (2021). Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks. Scientific reports, 11(1), p. 1087. Springer Nature 10.1038/s41598-020-79925-4
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
Rebsamen, Michael; Rummel, Christian; Reyes, Mauricio; Wiest, Roland; McKinley, Richard (2020). Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation. Human brain mapping, 41(17), pp. 4804-4814. Wiley-Blackwell 10.1002/hbm.25159
McKinley, Richard; Wepfer, Rik; Grunder, Lorenz; Aschwanden, Fabian; Fischer, Tim; Friedli, Christoph; Muri, Raphaela; Rummel, Christian; Verma, Rajeev Kumar; Weisstanner, Christian; Wiestler, Benedikt; Berger, Christoph; Eichinger, Paul; Muehlau, Mark; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wiest, Roland; Wagner, Franca (2020). Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. NeuroImage: Clinical, 25, p. 102104. Elsevier 10.1016/j.nicl.2019.102104
McKinley, Richard; Wepfer, Rik; Aschwanden, Fabian; Grunder, Lorenz; Muri, Raphaela; Rummel, Christian; Verma, Rajeev; Weisstanner, Christian; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wagner, Franca; Wiest, Roland (2020). Robustness of Simultaneous Lesion and Neuroanatomy Segmentation in Multiple Sclerosis Using Deep Neural Networks (In Press). SSRN Electronic Journal Elsevier 10.2139/ssrn.3529469
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
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
McKinley, Richard; Grunder, Lorenz; Wepfer, Rik; Aschwanden, Fabian; Fischer, Tim; Friedli, Christoph; Muri, Raphaela; Rummel, Christian; Verma, Rajeev; Weisstanner, Christian; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wiest, Roland; Wagner, Franca (2019). Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence (arXiv). Cornell University
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
