Maximilian Baust

Technical University of Munich — Germany

Computer Science · Physical Sciences

18h-index3.2kcitations58works0.02yr avg
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Research Topics

Medical Image Segmentation Techniques(27), 3D Shape Modeling and Analysis(9), AI in cancer detection(9), Medical Imaging Techniques and Applications(8), Radiomics and Machine Learning in Medical Imaging(8)

Publications58 total

Variational Level Set Evolution for Non-rigid 3D Reconstruction from a Single Depth Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence·2020· 25 cited
Manifold-Valued Data in Medical Imaging Applications
2020· 4 cited
Privacy-preserving Federated Brain Tumour Segmentation
arXiv (Cornell University)·2019· 63 citedOpen Access
BACH: Grand challenge on breast cancer histology images
Medical Image Analysis·2019· 637 citedOpen Access
Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks
Scientific Reports·2019· 55 citedOpen Access
Cardiac SPECT data analysis using graph-based convolutional neural networks
Nuklearmedizin - NuclearMedicine·2019
Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound
IEEE Transactions on Medical Imaging·2019· 12 cited
Abstract: Landmark-Free Initialization of Multi-Modal Image Registration
Informatik aktuell·2019Open Access
Privacy-Preserving Federated Brain Tumour Segmentation
Lecture notes in computer science·2019· 490 citedOpen Access
Redefining Ultrasound Compounding: Computational Sonography
arXiv (Cornell University)·2018Open Access
Initialize globally before acting locally: Enabling Landmark-free 3D US\n to MRI Registration
arXiv (Cornell University)·2018Open Access
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion
2018· 110 cited
Understanding Regularization to Visualize Convolutional Neural Networks
arXiv (Cornell University)·2018· 1 citedOpen Access
Assessment of Breast Cancer Histology using Densely Connected\n Convolutional Networks
arXiv (Cornell University)·2018Open Access
Use the force: deformation correction in robotic 3D ultrasound
International Journal of Computer Assisted Radiology and Surgery·2018· 30 cited
Machine Learning: A Data-Driven Approach to Image Analysis
2018· 1 cited
Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration
Lecture notes in computer science·2018· 1 citedOpen Access
CFCM: Segmentation via Coarse to Fine Context Memory
Lecture notes in computer science·2018· 4 citedOpen Access
Assessment of Breast Cancer Histology Using Densely Connected Convolutional Networks
Lecture notes in computer science·2018· 3 citedOpen Access
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
2017· 174 cited
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Frequent Co-authors

Nassir Navab(38), Christoph Hennersperger(9), Christian Rupprecht(7), Stefanie Demirci(5), Andreas Weinmann(5), Darko Zikic(5), Shadi Albarqouni(4), Miroslava Slavcheva(4), Slobodan Ilić(4), Martin Storath(4), Tingying Peng(3), Matthias Kohl(3), F. Ludwig(3), Stefan Braunewell(3), Fausto Milletarì(3), Nicola Rieke(3), Rüdiger Göbl(3), Diana Mateus(3), Christian Schulte zu Berge(3), Abhishek Vahadane(2)