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Bjoern Menze

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Name	Bjoern Menze
Place	Schweiz Deutschland Schweden USA
Gender	männlich
Academic degree	Prof. Dr. (Naturwissenschaftlich-Mathematische Gesamtfakultät der Univ. Heidelberg) (2007)
Profession	Informatiker (characteristic profession) Physiker
Variant	Bjoern Holger Menze (vollständiger Name) Bjoern H. Menze
Related	Eidgenössische Technische Hochschule Zürich (2011-) Technische Universität München (2013-) Medizinische Informatik (Thema)
Further information	TUM, Munich, Germany, assistant professor of computer science and of medicine; ETHZ, Zurich, Computer Vision Laboratory
Record type	Person
GND-Identifier	133358690
Record ID	133358690
Involved in show all A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation Virtual reality-empowered deep-learning analysis of brain cells Metrics reloaded: recommendations for image analysis validation Understanding metric-related pitfalls in image analysis validation Machine Learning Characterization of Vascular Functions in Stroke Perfusion Imaging Shortwave-infrared Line-Scanning Confocal Microscope for Deep Tissue Imaging Analyzing Vascular Networks Extracted from Clinical Magnetic Resonance Angiography Efficient and Cross-Domain Deep Learning for Advanced Neuroimage Analysis Learnable personalization of brain tumor growth models Physical Constraints-Aware Machine Learning Models for Vascular Image Analysis Predictive modelling of cancer chromosomal instability The Hitchhiker's Guide to Machine Learning for Biomedical Image Analysis Whole Brain Vasculature Analysis Using Advanced Learning Models ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset The Medical Segmentation Decathlon Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine Efficient Claustrum Segmentation in T2-weighted Neonatal Brain MRI Using Transfer Learning from Adult Scans Automated opportunistic osteoporosis screening in routine computed tomography of the spine: Comparison with dedicated quantitative CT Characterization of the radiation response of Glioblastoma cells with different radiosensitivities Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement Image Based Personalized Bone Therapy Planning using Deep Learning Level-specific volumetric BMD threshold values for the prediction of incident vertebral fractures using opportunistic QCT : a case-control study Level-specific volumetric BMD threshold values for the prediction of incident vertebral fractures using opportunistic QCT: A case-control study Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine Real-time Optoacoustic Monitoring of Thermal Ablation and Laser Surgery Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data Advanced reconstruction techniques in perfusion magnetic resonance imaging Deep Convolutional Neural Networks for Biomedical Image Analysis Deep learning based medical image segmentation and classification for artificial intelligence healthcare Deep Learning for Fast and Robust Multiparametric Magnetic Resonance Imaging Deep Learning for Medical Image Analysis Deep Learning Methods for Cardiac Magnetic Resonance Imaging Reconstruction Development of Silent Multi-contrast Magnetic Resonance Imaging Acquisition Techniques Functional Imaging with Multispectral Optoacoustic Tomography: Methods and Applications Quantifying hemodynamics in the aorta with four-dimensional flow magnetic resonance imaging Deep learning-enabled multi-organ segmentation in whole-body mouse scans Modeling motor task activation from resting-state fMRI using machine learning in individual subjects Accelerated Analysis in MR Spectroscopic Imaging Cardiovascular Magnetic Resonance Imaging of Myocardial Scar and Diffuse Fibrosis Computational Modeling in Neuro-Oncology Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care Why rankings of biomedical image analysis competitions should be interpreted with care S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging $$\tau $$ τ -Leaping and R-Leaping Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers Disentangling Tissue Microstructure with Magnetic Resonance Imaging 3D mesoscopic scale optoacoustic imaging using linear array transducers Accelerating Quantitative Magnetic Resonance Imaging Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016 Convolutional Neural Networks for Classification and Segmentation of Medical Images Localising Anatomical Structures and Quantifying Tumour Burden in PET/CT Images using Machine Learning Medical Computer Vision and Bayesian and grAphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers Advanced X-ray grating- and propagation-based phase-contrast imaging using synchrotron radiation Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

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Katalog der Deutschen Nationalbibliothek

Bjoern Menze

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Virtual reality-empowered deep-learning analysis of brain cells

Metrics reloaded: recommendations for image analysis validation

Understanding metric-related pitfalls in image analysis validation

Machine Learning Characterization of Vascular Functions in Stroke Perfusion Imaging

Shortwave-infrared Line-Scanning Confocal Microscope for Deep Tissue Imaging

Analyzing Vascular Networks Extracted from Clinical Magnetic Resonance Angiography

Efficient and Cross-Domain Deep Learning for Advanced Neuroimage Analysis

Learnable personalization of brain tumor growth models

Physical Constraints-Aware Machine Learning Models for Vascular Image Analysis

Predictive modelling of cancer chromosomal instability

The Hitchhiker's Guide to Machine Learning for Biomedical Image Analysis

Whole Brain Vasculature Analysis Using Advanced Learning Models

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

The Medical Segmentation Decathlon

Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy

Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine

Efficient Claustrum Segmentation in T2-weighted Neonatal Brain MRI Using Transfer Learning from Adult Scans

Automated opportunistic osteoporosis screening in routine computed tomography of the spine: Comparison with dedicated quantitative CT

Characterization of the radiation response of Glioblastoma cells with different radiosensitivities

Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement

Image Based Personalized Bone Therapy Planning using Deep Learning

Level-specific volumetric BMD threshold values for the prediction of incident vertebral fractures using opportunistic QCT : a case-control study

Level-specific volumetric BMD threshold values for the prediction of incident vertebral fractures using opportunistic QCT: A case-control study

Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine

Real-time Optoacoustic Monitoring of Thermal Ablation and Laser Surgery

Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements

Morphological residual convolutional neural network (M-RCNN) for intelligent recognition of wear particles from artificial joints

Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type

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

Advanced reconstruction techniques in perfusion magnetic resonance imaging

Deep Convolutional Neural Networks for Biomedical Image Analysis

Deep learning based medical image segmentation and classification for artificial intelligence healthcare

Deep Learning for Fast and Robust Multiparametric Magnetic Resonance Imaging

Deep Learning for Medical Image Analysis

Deep Learning Methods for Cardiac Magnetic Resonance Imaging Reconstruction

Development of Silent Multi-contrast Magnetic Resonance Imaging Acquisition Techniques

Functional Imaging with Multispectral Optoacoustic Tomography: Methods and Applications

Quantifying hemodynamics in the aorta with four-dimensional flow magnetic resonance imaging

Deep learning-enabled multi-organ segmentation in whole-body mouse scans

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

Accelerated Analysis in MR Spectroscopic Imaging

Cardiovascular Magnetic Resonance Imaging of Myocardial Scar and Diffuse Fibrosis

Computational Modeling in Neuro-Oncology

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Why rankings of biomedical image analysis competitions should be interpreted with care

S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging $$\tau $$ τ -Leaping and R-Leaping

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers

Disentangling Tissue Microstructure with Magnetic Resonance Imaging

3D mesoscopic scale optoacoustic imaging using linear array transducers

Accelerating Quantitative Magnetic Resonance Imaging

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016

Convolutional Neural Networks for Classification and Segmentation of Medical Images

Localising Anatomical Structures and Quantifying Tumour Burden in PET/CT Images using Machine Learning

Medical Computer Vision and Bayesian and grAphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

Advanced X-ray grating- and propagation-based phase-contrast imaging using synchrotron radiation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers