Roland Wiest
According to our database1,
Roland Wiest
authored at least 58 papers
between 2006 and 2024.
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Bibliography
2024
Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T.
NeuroImage, February, 2024
Comput. Methods Programs Biomed., January, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales.
NeuroImage, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Combining unsupervised and supervised learning for predicting the final stroke lesion.
Medical Image Anal., 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
2020
Functional topography of the thalamo-cortical system during development and its relation to cognition.
NeuroImage, 2020
BMC Medical Imaging, 2020
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.
CoRR, 2019
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks.
CoRR, 2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks.
CoRR, 2019
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.
Medical Image Anal., 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
CoRR, 2017
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
2016
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
2015
IEEE Trans. Medical Imaging, 2015
Rivalry of homeostatic and sensory-evoked emotions: Dehydration attenuates olfactory disgust and its neural correlates.
NeuroImage, 2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
2014
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
2012
Theta burst TMS increases cerebral blood flow in the primary motor cortex during motor performance as assessed by arterial spin labeling (ASL).
NeuroImage, 2012
A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging.
NeuroImage, 2012
The link between visual exploration and neuronal activity: A multi-modal study combining eye tracking, functional magnetic resonance imaging and transcranial magnetic stimulation.
NeuroImage, 2012
Reduced Cerebral Blood Flow Within the Default-Mode Network and Within Total Gray Matter in Major Depression.
Brain Connect., 2012
2011
Semantic memory involvement in the default mode network: A functional neuroimaging study using independent component analysis.
NeuroImage, 2011
2009
Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging.
NeuroImage, 2009
2008
BOLD correlates of continuously fluctuating epileptic activity isolated by independent component analysis.
NeuroImage, 2008
2006
Examining the gateway to the limbic system with diffusion tensor imaging: The perforant pathway in dementia.
NeuroImage, 2006