Maximilian Baust
Technical University of Munich(DE)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, 3D Shape Modeling and Analysis, AI in cancer detection, Medical Imaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images(2016)778 cited
- → BACH: Grand challenge on breast cancer histology images(2019)650 cited
- → Privacy-Preserving Federated Brain Tumour Segmentation(2019)501 cited
- → Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease(2017)191 cited
- → KillingFusion: Non-rigid 3D Reconstruction without Correspondences(2017)179 cited
- → Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses(2017)176 cited
- → SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion(2018)110 cited
- → Structure-preserved color normalization for histological images(2015)93 cited
- → Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks(2019)56 cited