Roland Wiest - RankMe

77 papers Journal 46Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI. SWITCH@MICCAI Marijn Borghouts, Richard McKinley, Manuel Köstner, Josien P. W. Pluim, Roland Wiest, Ruisheng Su
2025	—	`ed.`	Image Analysis in Stroke Diagnosis and Interventions - 4th International Workshop, SWITCH 2024, and 6th International Challenge, ISLES 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings SWITCH/ISLES@MICCAI Ruisheng Su, Ezequiel de la Rosa, Leonhard Rist, Ewout Heylen, Frank te Nijenhuis, Danny Ruijters, Markus D. Schirmer, Richard McKinley, Susanne Wegener, Roland Wiest, Theo van Walsum
2025	J	`jnl`	Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation. CoRR Ivan Diaz, Florin Scherer, Yanik Berli, Roland Wiest, Helly N. Hammer, Robert Hoepner, Alejandro Leon Betancourt, Piotr Radojewski, Richard McKinley
2025	J	`jnl`	The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. CoRR Daniel Abler, O. Pusterla, A. Joye-Kühnis, Nicolaus Andratschke, Meritxell Bach, A. Bink, S. M. Christ, Patric Hagmann, B. Pouymayou, E. Pravatà, Piotr Radojewski, Mauricio Reyes, L. Ruinelli, Roger Schaer, Bram Stieltjes, G. Treglia, Waldo Valenzuela, Roland Wiest, S. Zoergiebel, Matthias Guckenberger, Stephanie Tanadini-Lang, Adrien Depeursinge
2024	J	`jnl`	A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
2024	J	`jnl`	Analyzing fractal dimension in electroconvulsive therapy: Unraveling complexity in structural and functional neuroimaging. NeuroImage Niklaus Denier, Matthias Grieder, Kay Jann, Sigrid Breit, Nicolas Mertse, Sebastian Walther, Leila M. Soravia, Agnes Meyer, Andrea Federspiel, Roland Wiest, Tobias Bracht
2024	J	`jnl`	ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. CoRR Evamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, Moritz Roman Hernandez Petzsche, Hakim Baazaoui, Kaiyuan Yang, David Robben, Joaquin Oscar Seia, Roland Wiest, Mauricio Reyes, Ruisheng Su, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Bjoern H. Menze, Benedikt Wiestler, Susanne Wegener, Jan S. Kirschke
2024	J	`jnl`	ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. CoRR Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes, Roland Wiest, Evamaria Olga Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze
2024	J	`jnl`	SaRF: Saliency regularized feature learning improves MRI sequence classification. Comput. Methods Programs Biomed. Suhang You, Roland Wiest, Mauricio Reyes
2024	J	`jnl`	Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. NeuroImage Guodong Weng, Johannes Slotboom, Philippe Schucht, Ekin Ermis, Roland Wiest, Stefan Klöppel, Jessica Peter, Irena Zubak, Piotr Radojewski
2023	J	`jnl`	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
2023	—	`conf`	Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm. BrainLes/SWITCH@MICCAI Theo Leuliet, Stefan Huwer, Bénédicte Maréchal, Veronica Ravano, Tobias Kober, Jonathan Rafael-Patino, Johannes Kaesmacher, Roland Wiest, Jonas Richiardi, Richard McKinley
2023	—	`conf`	Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
2023	J	`jnl`	The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
2023	—	`conf`	Towards Radiomics-Based Automated Disease Progression Assessment for Glioblastoma Patients. BrainLes/SWITCH@MICCAI Yannick Suter, Flurina Schuhmacher, Ekin Ermis, Urspeter Knecht, Philippe Schucht, Roland Wiest, Mauricio Reyes
2022	J	`jnl`	ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexandre Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke
2022	—	`conf`	Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 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, Gaëtan 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
2022	J	`jnl`	Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales. NeuroImage J. Daniel Arzate-Mena, Eugenio Abela, Paola V. Olguín-Rodríguez, Wady Ríos-Herrera, Sarael Alcauter, Kaspar Schindler, Roland Wiest, Markus Franziskus Müller, Christian Rummel
2022	—	`conf`	Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. BrainLes@MICCAI Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley
2021	J	`jnl`	Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput. Medical Imaging Graph. Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas
2021	J	`jnl`	Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva
2021	J	`jnl`	Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2021	J	`jnl`	The Federated Tumor Segmentation (FeTS) Challenge. CoRR Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas
2021	J	`jnl`	The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James A. Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas
2020	J	`jnl`	Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes
2020	J	`jnl`	Functional topography of the thalamo-cortical system during development and its relation to cognition. NeuroImage Leonie Steiner, Andrea Federspiel, Nedelina Slavova, Roland Wiest, Sebastian Grunt, Maja Steinlin, Regula Everts
2020	—	`conf`	Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. BrainLes@MICCAI (1) Yannick Suter, Urspeter Knecht, Roland Wiest, Mauricio Reyes
2020	—	`conf`	Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. MLCN/RNO-AI@MICCAI Yannick Suter, Urspeter Knecht, Roland Wiest, Ekkehard Hewer, Philippe Schucht, Mauricio Reyes
2020	—	`conf`	Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. BrainLes@MICCAI (1) Richard McKinley, Michael Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest
2020	J	`jnl`	Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty. CoRR Richard McKinley, Michael Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest
2019	J	`jnl`	Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. CoRR Richard McKinley, Lorenz Grunder, Rik Wepfer, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner
2019	—	`conf`	Dual-Stream Pyramid Registration Network. MICCAI (2) Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes
2019	J	`jnl`	Dual-Stream Pyramid Registration Network. CoRR Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes
2019	J	`jnl`	Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. CoRR Richard McKinley, Michael Rebsamen, Raphael Meier, Mauricio Reyes, Christian Rummel, Roland Wiest
2019	—	`ed.`	Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings iMIMIC/ML-CDS@MICCAI Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
2019	J	`jnl`	Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. CoRR Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
2019	—	`conf`	Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. ABCD-NP@MICCAI Michael Rebsamen, Christian Rummel, Ines Mürner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley
2019	—	`conf`	Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation. BrainLes@MICCAI (1) Richard McKinley, Michael Rebsamen, Raphael Meier, Roland Wiest
2018	—	`conf`	CT Brain Perfusion: A Clinical Perspective. BrainLes@MICCAI (1) Arsany Hakim, Roland Wiest
2018	—	`conf`	Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. BrainLes@MICCAI (2) Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
2018	J	`jnl`	Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. CoRR Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
2018	—	`conf`	Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes
2018	J	`jnl`	Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes
2018	J	`jnl`	Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Anal. Sérgio Pereira, Raphael Meier, Richard McKinley, Roland Wiest, Victor Alves, Carlos A. Silva, Mauricio Reyes
2018	—	`conf`	Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation. BrainLes@MICCAI (2) Richard McKinley, Raphael Meier, Roland Wiest
2018	—	`conf`	Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. ISBI Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes
2018	J	`jnl`	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
2018	—	`conf`	On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. MICCAI (1) Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
2018	J	`jnl`	On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. CoRR Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes
2018	—	`conf`	Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. BrainLes@MICCAI (1) Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
2018	J	`jnl`	Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. CoRR Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley
2017	—	`ed.`	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CMMI/RAMBO/SWITCH@MICCAI M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer
2017	J	`jnl`	Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes
2017	—	`conf`	Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. BrainLes@MICCAI Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes
2017	—	`conf`	Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes
2016	—	`conf`	CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. BrainLes@MICCAI Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes
2016	—	`conf`	Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. BrainLes@MICCAI Richard McKinley, Rik Wepfer, Tom Gundersen, Franca Wagner, Andrew Chan, Roland Wiest, Mauricio Reyes
2015	—	`conf`	Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors. Brainles@MICCAI Raphael Meier, Venetia Karamitsou, Simon Habegger, Roland Wiest, Mauricio Reyes
2015	J	`jnl`	Rivalry of homeostatic and sensory-evoked emotions: Dehydration attenuates olfactory disgust and its neural correlates. NeuroImage Lea Meier, Hergen Friedrich, Andrea Federspiel, Kay Jann, Yosuke Morishima, Basile Nicolas Landis, Roland Wiest, Werner Strik, Thomas Dierks
2015	—	`conf`	Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding. Brainles@MICCAI Richard McKinley, Levin Häni, Roland Wiest, Mauricio Reyes
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2014	—	`conf`	Interactive segmentation of MR images from brain tumor patients. ISBI Stefan Bauer, Nicole Porz, Raphael Meier, Alessia Pica, Johannes Slotboom, Roland Wiest, Mauricio Reyes
2014	—	`conf`	Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. MICCAI (1) Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes
2014	—	`conf`	Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients. EMBC Stefan Bauer, Pascal P. Gratz, Jan Gralla, Mauricio Reyes, Roland Wiest
2013	J	`jnl`	A Systems-Level Approach to Human Epileptic Seizures. Neuroinformatics Christian Rummel, Marc Goodfellow, Heidemarie Gast, Martinus Hauf, Frédérique Amor, Alexander Stibal, Luigi Mariani, Roland Wiest, Kaspar Schindler
2012	J	`jnl`	A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging. NeuroImage Alia Lemkaddem, Alessandro Daducci, Serge Vulliémoz, Kieran O'Brien, François Lazeyras, Martinus Hauf, Roland Wiest, Reto Meuli, Margitta Seeck, Gunnar Krueger, Jean-Philippe Thiran
2012	J	`jnl`	Reduced Cerebral Blood Flow Within the Default-Mode Network and Within Total Gray Matter in Major Depression. Brain Connect. Ariane Orosz, Kay Jann, Andrea Federspiel, Helge Horn, Oliver Höfle, Thomas Dierks, Roland Wiest, Werner Strik, Thomas Müller, Sebastian Walther
2012	J	`jnl`	The link between visual exploration and neuronal activity: A multi-modal study combining eye tracking, functional magnetic resonance imaging and transcranial magnetic stimulation. NeuroImage Silvia Chaves, Patrizia Vannini, Kay Jann, Pascal Wurtz, Andrea Federspiel, Thomas Nyffeler, Mathias Luethi, Daniela Hubl, Roland Wiest, Thomas Dierks, René Müri
2012	J	`jnl`	Theta burst TMS increases cerebral blood flow in the primary motor cortex during motor performance as assessed by arterial spin labeling (ASL). NeuroImage Ariane Orosz, Kay Jann, Miranka Wirth, Roland Wiest, Thomas Dierks, Andrea Federspiel
2011	J	`jnl`	Semantic memory involvement in the default mode network: A functional neuroimaging study using independent component analysis. NeuroImage Miranka Wirth, Kay Jann, Thomas Dierks, Andrea Federspiel, Roland Wiest, Helge Horn
2009	J	`jnl`	Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging. NeuroImage Claus Kiefer, Lisa Brockhaus, Katja Cattapan-Ludewig, Pietro Ballinari, Yuliya Burren, Gerhard Schroth, Roland Wiest
2008	J	`jnl`	BOLD correlates of continuously fluctuating epileptic activity isolated by independent component analysis. NeuroImage Kay Jann, Roland Wiest, Martinus Hauf, Klaus Meyer, Chris Boesch, Johannes Mathis, Gerhard Schroth, Thomas Dierks, Thomas Koenig
2006	J	`jnl`	Examining the gateway to the limbic system with diffusion tensor imaging: The perforant pathway in dementia. NeuroImage Peter Kalus, Johannes Slotboom, Jürgen Gallinat, Richard Mahlberg, Katja Cattapan-Ludewig, Roland Wiest, Thomas Nyffeler, Caroline Buri, Andrea Federspiel, Dieter Kunz, Gerhard Schroth, Claus Kiefer