Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework. - Hans Meine; Ullrich Köthe; H. Siegfried Stiehl (Bildverarbeitung für die Medizin, 2004)

The GeoMap: A Unified Representation for Topology and Geometry. - Hans Meine; Ullrich Köthe (GbRPR, 2005)

Provably Correct Edgel Linking and Subpixel Boundary Reconstruction. - Ullrich Köthe; Peer Stelldinger; Hans Meine (DAGM-Symposium, 2006)

Topologically Correct Image Segmentation Using Alpha Shapes. - Peer Stelldinger; Ullrich Köthe; Hans Meine (DGCI, 2006)

A New Sub-pixel Map for Image Analysis. - Hans Meine; Ullrich Köthe (IWCIA, 2006)

Pixel Approximation Errors in Common Watershed Algorithms. - Hans Meine; Peer Stelldinger; Ullrich Köthe (DGCI, 2009)

Annotated Contraction Kernels for Interactive Image Segmentation. - Hans Meine (GbRPR, 2009)

A topological sampling theorem for Robust boundary reconstruction and image segmentation. - Hans Meine; Ullrich Köthe; Peer Stelldinger (Discret. Appl. Math., 2009)

The GeoMap representation: on topologically correct sub-pixel image analysis. - Hans Meine (2009)

How to define a locally adaptive sampling criterion for topologically correct reconstruction of multiple regions. - Leonid Tcherniavski; Christian Bähnisch; Hans Meine; Peer Stelldinger (Pattern Recognit. Lett., 2012)

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. - Rina Dewi Rudyanto; Sjoerd Kerkstra; Eva M. van Rikxoort; Catalin I. Fetita; Pierre-Yves Brillet; Christophe Lefevre; Wenzhe Xue; Xiangjun Zhu; Jianming Liang; Ilkay Öksüz; Devrim Ünay; Kamuran Kadipasaoglu; et al. (Medical Image Anal., 2014)

Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT. - Frank Heckel; Hans Meine; Jan Hendrik Moltz; Jan-Martin Kuhnigk; Johannes T. Heverhagen; Andreas Kießling 002; Boris Buerke; Horst K. Hahn (IEEE Trans. Medical Imaging, 2014)

Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. - Jan Rühaak; Alexander Derksen; Stefan Heldmann; Marc Hallmann; Hans Meine (Image Processing, 2015)

Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering. - Grzegorz Chlebus; Hans Meine; Jan Hendrik Moltz; Andrea Schenk (CoRR, 2017)

Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT. - Hans Meine; Grzegorz Chlebus; Mohsen Ghafoorian; Itaru Endo; Andrea Schenk (CoRR, 2018)

Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery. - Jennifer Nitsch; Jan Klein 001; Jan Hendrik Moltz; Dorothea Miller; Ulrich Sure; Ron Kikinis; Hans Meine (Image-Guided Procedures, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor. - Hans Meine; Alessa Hering (CoRR, 2019)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2019)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2019)

Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations. - Hidir Cem Altun; Grzegorz Chlebus; Colin Jacobs; Hans Meine; Bram van Ginneken; Horst K. Hahn (Computer-Aided Diagnosis, 2020)

Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function. - Bianca Lassen-Schmidt; Alessa Hering; Stefan Krass; Hans Meine (CoRR, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy. - Jannes Adam; Niklas Agethen; Robert Bohnsack; René Finzel; Timo Günnemann; Lena Philipp; Marcel Plutat; Markus Rink; Tingting Xue; Felix Thielke; Hans Meine (KiTS@MICCAI, 2021)

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification. - Jennifer Nitsch; Jordan Sack; Michael W. Halle; Jan Hendrik Moltz; April Wall; Anna E. Rutherford; Ron Kikinis; Hans Meine (Int. J. Comput. Assist. Radiol. Surg., 2021)

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. - Anneke Meyer; Grzegorz Chlebus; Marko Rak; Daniel Schindele; Martin Schostak; Bram van Ginneken; Andrea Schenk; Hans Meine; Horst K. Hahn; Andreas Schreiber 005; Christian Hansen 001 (Comput. Methods Programs Biomed., 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases. - Annika Hänsch; Felix Thielke; Hans Meine; Shereen Rennebaum; Matthias F. Froelich; Lena S. Becker; Jan B. Hinrichs; Andrea Schenk (Bildverarbeitung für die Medizin, 2022)

Hepatic artery segmentation with 3D convolutional neural networks. - Farina Kock; Grzegorz Chlebus; Felix Thielke; Andrea Schenk; Hans Meine (Computer-Aided Diagnosis, 2022)

Confidence Histograms for Model Reliability Analysis and Temperature Calibration. - Farina Kock; Felix Thielke; Grzegorz Chlebus; Hans Meine (MIDL, 2022)

Improving deep learning based liver vessel segmentation using automated connectivity analysis. - Felix Thielke; Farina Kock; Annika Hänsch; Joachim Georgii; Nasreddin Abolmaali; Itaru Endo; Hans Meine; Andrea Schenk (Image Processing, 2022)

Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow. - Grzegorz Chlebus; Andrea Schenk; Horst K. Hahn; Bram van Ginneken; Hans Meine (IEEE Access, 2022)

Reconstruction of dental roots for implant planning purposes: a feasibility study. - Leonard Simon Brandenburg; Lukas Berger; Steffen Jochen Schwarz; Hans Meine; Julia Vera Weingart; David Steybe; Benedikt Christopher Spies; Felix Burkhardt; Stefan Schlager; Marc Christian Metzger (Int. J. Comput. Assist. Radiol. Surg., 2022)

Quantitative Analysis of Liver Disease Using MRI-Based Radiomic Features of the Liver and Spleen. - Jordan Sack; Jennifer Nitsch; Hans Meine; Ron Kikinis; Michael Halle; Anna E. Rutherford (J. Imaging, 2022)

AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome. - Jürgen Konradi; Milla Zajber; Ulrich Betz; Philipp Drees; Annika Gerken; Hans Meine (Sensors, 2022)

Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net. - Annika Gerken; Grzegorz Chlebus; Hans Meine; Felix Thielke; Farina Kock; Tobias Paulus; Nasreddin Abolmaali; Andrea Schenk (Bildverarbeitung für die Medizin, 2023)

Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. - Yongli Mou; Feifei Li; Sven Weber; Sabith Haneef; Hans Meine; Liliana Caldeira; Mehrshad Jaberansary; Sascha Welten; Yeliz Ucer Yediel; Guido P. M. Prause; Stefan Decker; Oya Beyan; et al. (CoRDI, 2023)

Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. - Felix Thielke; Farina Kock; Annika Hänsch; Nasreddin Abolmaali; Andrea Schenk; Hans Meine (Image Processing, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI. - Kai Geißler; Markus Wenzel 003; Susanne Diekmann; Heinrich von Busch; Robert Grimm 002; Hans Meine (Bildverarbeitung für die Medizin, 2024)

Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction. - Kai Geißler; Jochen G. Hirsch; Stefan Heldmann; Hans Meine (MIDL, 2024)

Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation. - Vanja Sophie Cangalovic; Felix Thielke; Hans Meine (Int. J. Comput. Assist. Radiol. Surg., 2024)

Suitability of DNN-based vessel segmentation for SIRT planning. - Farina Kock; Felix Thielke; Nasreddin Abolmaali; Hans Meine; Andrea Schenk (Int. J. Comput. Assist. Radiol. Surg., 2024)

On the Encapsulation of Medical Imaging AI Algorithms. - Hans Meine; Yongli Mou; Guido P. M. Prause; Horst K. Hahn (CoRR, 2025)