Marc-André Weber

Orcid: 0000-0003-3918-8066

According to our database1, Marc-André Weber authored at least 38 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021

The Federated Tumor Segmentation (FeTS) Challenge.
CoRR, 2021

Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA.
BMC Medical Imaging, 2021

2020
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease.
CoRR, 2020

Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis.
BMC Medical Imaging, 2020

Human-Robot-Collaboration in the Context of Productivity Development and the Challenges of Its Implementation: A Case Study.
Proceedings of the Advances in Human Factors and Systems Interaction, 2020

Achievements and Opportunities of Digitalization in Productivity Management.
Proceedings of the Advances in Human Factors and Systems Interaction, 2020

2019
Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma.
Medical Image Anal., 2019

Holistic Productivity Management Using Digitalization.
Proceedings of the Advances in Human Factors and Systems Interaction, 2019

2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Predicting Future Bone Infiltration Patterns in Multiple Myeloma.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

2017
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Productivity Strategies Using Digital Information Systems in Production Environments.
Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

Datasets Created in VISCERAL.
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

Annotating Medical Image Data.
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

Ethical and Privacy Aspects of Using Medical Image Data.
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging, 2016

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.
IEEE Trans. Medical Imaging, 2016

Privacy: an institutional fact.
Ethics Inf. Technol., 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation.
Comput. Medical Imaging Graph., 2015

Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Overview of the VISCERAL Challenge at ISBI 2015.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015

2013
Research and applications: Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images.
J. Am. Medical Informatics Assoc., 2013

2012
Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics, 2012

2011
A Generative Approach for Image-Based Modeling of Tumor Growth.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations.
IEEE Trans. Medical Imaging, 2010

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

2007
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.
Proceedings of the Pattern Recognition, 2007

2006
Diffusion tensor imaging in primary brain tumors: Reproducible quantitative analysis of corpus callosum infiltration and contralateral involvement using a probabilistic mixture model.
NeuroImage, 2006


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