Roland Wiest
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
1
Active years
2014–2025
Best venue rank
A
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI. | Marijn Borghouts, Richard McKinley, Manuel Kstner, Josien P. W. Pluim, Roland Wiest, Ruisheng Su |
| 2022 | MICCAI | Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. | Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gatan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman |
| 2020 | MICCAI | Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. | Yannick Suter, Urspeter Knecht, Roland Wiest, Ekkehard Hewer, Philippe Schucht, Mauricio Reyes |
| 2019 | MICCAI | Dual-Stream Pyramid Registration Network. | Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes |
| 2019 | MICCAI | Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. | Michael Rebsamen, Christian Rummel, Ines Mrner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley |
| 2018 | MICCAI | CT Brain Perfusion: A Clinical Perspective. | Arsany Hakim, Roland Wiest |
| 2018 | MICCAI | Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. | Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley |
| 2018 | MICCAI | On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. | Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes |
| 2018 | MICCAI | Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation. | Richard McKinley, Raphael Meier, Roland Wiest |
| 2018 | MICCAI | Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. | Adriano Pinto, Srgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes |
| 2018 | MICCAI | Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. | Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes |
| 2017 | MICCAI | Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. | Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julin Prez-Beteta, David Molina-Garca, Vctor M. Prez-Garca, Roland Wiest, Mauricio Reyes |
| 2017 | MICCAI | Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. | Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes |
| 2016 | MICCAI | Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. | Richard McKinley, Rik Wepfer, Tom Gundersen, Franca Wagner, Andrew Chan, Roland Wiest, Mauricio Reyes |
| 2016 | MICCAI | CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. | Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes |
| 2015 | MICCAI | Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding. | Richard McKinley, Levin Hni, Roland Wiest, Mauricio Reyes |
| 2015 | MICCAI | Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors. | Raphael Meier, Venetia Karamitsou, Simon Habegger, Roland Wiest, Mauricio Reyes |
| 2014 | MICCAI | Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. | Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes |