Benedikt Wiestler

Benedikt Wiestler, Jan C Peeken, Stephanie E Combs, 2020, Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer.

Modeling motor task activation from resting-state fMRI using machine learning in individual subjects

Xin Wen, Yang Wang, Bjoern H Menze, 2020, Brain Imaging and Behavior.

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration pdf

Panagiotis Angelikopoulos, Koenraad Van Leemput, Petros Koumoutsakos, 2018, ArXiv.

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation pdf

Hongwei Li, Bjoern H Menze, Benedikt Wiestler, 2020, ArXiv.

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns

Jan S. Kirschke, Stefan Braunewell, Matthias Kohl, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge pdf

et al., Mahbubul Alam, Antonio Albiol, 2018, ArXiv.

Radiomics in radiooncology - Challenging the medical physicist.

Daniel Cremers, Burkhard Rost, Fridtjof Nüsslin, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

Jan S. Kirschke, Hongwei Li, Jianguo Zhang, 2019, MICCAI.

Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns

Benedikt Wiestler, Bjoern Menze, Anjany Sekuboyina, 2020 .

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment

Jan S. Kirschke, Benedikt Wiestler, Anjany Sekuboyina, 2020, WBIR.

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Shadi Albarqouni, Nassir Navab, Benedikt Wiestler, 2020, MICCAI.

A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information

Jan S. Kirschke, Claus Zimmer, Bjoern H. Menze, 2019, BrainLes@MICCAI.

BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice

Claus Zimmer, Bjoern H. Menze, Bjoern H Menze, 2020, Frontiers in Neuroscience.

Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition

Claus Zimmer, Stefano Trebeschi, Bjoern H. Menze, 2017, GRAIL/MFCA/MICGen@MICCAI.

Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2019, MIDL.

Pre-operarative Multivariate Connectome Analysis for Glioma Patients

Jan S. Kirschke, Benedikt Wiestler, Alessandro Crimi, 2018, bioRxiv.

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

Panagiotis Angelikopoulos, Petros Koumoutsakos, Bjoern H Menze, 2018, IEEE Transactions on Medical Imaging.

SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI

Shadi Albarqouni, Nassir Navab, Robert Graf, 2020, MICCAI.

Federated disentangled representation learning for unsupervised brain anomaly detection

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, Nature Machine Intelligence.

Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI.

Shadi Albarqouni, Nassir Navab, Benedikt Wiestler, 2021, Radiology. Artificial intelligence.

FedCostWAvg: A new averaging for better Federated Learning pdf

Bjoern H. Menze, Benedikt Wiestler, Suprosanna Shit, 2021, ArXiv.

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Krishna Chaitanya, Hongwei Li, Benedikt Wiestler, 2021, MICCAI.

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification pdf

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2021, ArXiv.

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient pdf

Spyridon Bakas, Hongwei Li, Bjoern H. Menze, 2021, ArXiv.

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling pdf

Lucas Zimmer, Benedikt Wiestler, Suprosanna Shit, 2021, ArXiv.

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients pdf

Christos Davatzikos, Spyridon Bakas, Bhakti Baheti, 2021, ArXiv.

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty

Hongwei Li, Bjoern H. Menze, Bjoern H Menze, 2021, UNSURE/PIPPI@MICCAI.

A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data

Thomas Baum, Bjoern H Menze, Germany, 2021, Scientific data.

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation pdf

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, ArXiv.

Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma

Ferdinand Schweser, Alexander Radbruch, Benedikt Wiestler, 2013, PloS one.

Diagnosis of glioma recurrence using multiparametric dynamic 18F-fluoroethyl-tyrosine PET-MRI.

Christine Preibisch, Benedikt Wiestler, Claus Zimmer, 2018, European journal of radiology.

Combining multimodal imaging and treatment features improves machine learning‐based prognostic assessment in patients with glioblastoma multiforme

Fridtjof Nüsslin, Benedikt Wiestler, Burkhard Rost, 2018, Cancer medicine.

Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study

Christine Preibisch, Kuangyu Shi, Benedikt Wiestler, 2017, NMR in biomedicine.

Next-generation sequencing in routine brain tumor diagnostics enables an integrated diagnosis and identifies actionable targets

Stefan M. Pfister, Ivo Buchhalter, Benedikt Wiestler, 2016, Acta Neuropathologica.

Nuclear Overhauser Enhancement Mediated Chemical Exchange Saturation Transfer Imaging at 7 Tesla in Glioblastoma Patients

Daniel Paech, Alexander Radbruch, Peter Bachert, 2014, PloS one.

Nuclear Overhauser Enhancement Imaging of Glioblastoma at 7 Tesla: Region Specific Correlation with Apparent Diffusion Coefficient and Histology

Daniel Paech, Alexander Radbruch, Peter Bachert, 2015, PloS one.

Assessing CpG island methylator phenotype, 1p/19q codeletion, and MGMT promoter methylation from epigenome-wide data in the biomarker cohort of the NOA-04 trial.

Martin Sill, Michael Platten, Volker Hovestadt, 2014, Neuro-oncology.

Association of overall survival in patients with newly diagnosed glioblastoma with contrast‐enhanced perfusion MRI: Comparison of intraindividually matched T1‐ and T2*‐based bolus techniques

David Bonekamp, Alexander Radbruch, Benedikt Wiestler, 2015, Journal of magnetic resonance imaging : JMRI.

Quantification of Tumor Vessels in Glioblastoma Patients Using Time-of-Flight Angiography at 7 Tesla: A Feasibility Study

Daniel Paech, Alexander Radbruch, Sina Burth, 2014, PloS one.

Relevance of T2 signal changes in the assessment of progression of glioblastoma according to the Response Assessment in Neurooncology criteria.

Alexander Radbruch, Benedikt Wiestler, Martin Bendszus, 2012, Neuro-oncology.

Bornavirus Encephalitis Shows a Characteristic Magnetic Resonance Phenotype in Humans

Benedikt Wiestler, Tom Finck, Claus Zimmer, 2020, Annals of neurology.

Local Fractional Anisotropy Is Reduced in Areas with Tumor Recurrence in Glioblastoma.

Benedikt Wiestler, Bernhard Meyer, Claus Zimmer, 2017, Radiology.

Consistency of normalized cerebral blood volume values in glioblastoma using different leakage correction algorithms on dynamic susceptibility contrast magnetic resonance imaging data without and with preload.

Christine Preibisch, Benedikt Wiestler, Claus Zimmer, 2019, Journal of neuroradiology. Journal de neuroradiologie.

Progression types after antiangiogenic therapy are related to outcome in recurrent glioblastoma

Alexander Radbruch, Benedikt Wiestler, Martin Bendszus, 2014, Neurology.

Tissue-Selective Salvage of the White Matter by Successful Endovascular Stroke Therapy

Benedikt Wiestler, Johannes Kaesmacher, J. Kaesmacher, 2017, Stroke.

Predicting conversion from clinically isolated syndrome to multiple sclerosis–An imaging-based machine learning approach

Mark Mühlau, Benedikt Wiestler, Claus Zimmer, 2018, NeuroImage: Clinical.

Treatment of anaplastic glioma.

Michael Platten, Benedikt Wiestler, Wolfgang Wick, 2015, Cancer treatment and research.

Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging.

Alexander Radbruch, Benedikt Wiestler, Martin Bendszus, 2014, Radiology.

Analysis of fractional anisotropy facilitates differentiation of glioblastoma and brain metastases in a clinical setting.

Benedikt Wiestler, Bernhard Meyer, Claus Zimmer, 2016, European journal of radiology.

Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy.

Christian Diehl, Bjoern H. Menze, Bjoern H Menze, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma

Martin Sill, Alexander Radbruch, Volker Hovestadt, 2014, Acta Neuropathologica.