Extracting Vascular Networks under Physiological Constraints via Integer Programming. - Markus Rempfler; Matthias Schneider 002; Giovanna D. Ielacqua; Xianghui Xiao; Stuart R. Stock; Jan Klohs; Gábor Székely; Bjoern Andres; Bjoern H. Menze (MICCAI (2), 2014)

Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo μMRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie. - Markus Rempfler; Matthias Schneider 002; Giovanna D. Ielacqua; Tim Sprenger; Xianghui Xiao; Stuart R. Stock; Jan Klohs; Gábor Székely; Bjoern Andres; Bjoern H. Menze (Bildverarbeitung für die Medizin, 2015)

Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images. - Vasileios Zografos; Alexander Valentinitsch; Markus Rempfler; Federico Tombari; Bjoern H. Menze (MCV@MICCAI, 2015)

Reconstructing cerebrovascular networks under local physiological constraints by integer programming. - Markus Rempfler; Matthias Schneider 002; Giovanna D. Ielacqua; Xianghui Xiao; Stuart R. Stock; Jan Klohs; Gábor Székely; Bjoern Andres; Bjoern H. Menze (Medical Image Anal., 2015)

Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. - Esther Alberts; Markus Rempfler; Georgina Alber; Thomas Huber; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (ISBI, 2016)

Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force. - Udhayaraj Sivalingam; Michael Wels; Markus Rempfler; Stefan Grosskopf; Michael Sühling; Bjoern H. Menze (Computer-Aided Diagnosis, 2016)

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. - Patrick Ferdinand Christ; Mohamed Ezzeldin A. Elshaer; Florian Ettlinger; Sunil Tatavarty; Marc Bickel; Patrick Bilic; Markus Rempfler; Marco Armbruster; Felix Hofmann; Melvin D'Anastasi; Wieland H. Sommer; Seyed-Ahmad Ahmadi; et al. (MICCAI (2), 2016)

The Minimum Cost Connected Subgraph Problem in Medical Image Analysis. - Markus Rempfler; Bjoern Andres; Bjoern H. Menze (MICCAI (3), 2016)

Efficient Algorithms for Moral Lineage Tracing. - Markus Rempfler; Jan-Hendrik Lange; Florian Jug; Corinna Blasse; Eugene W. Myers; Bjoern H. Menze; Bjoern Andres (ICCV, 2017)

Uncertainty Estimation in Vascular Networks. - Markus Rempfler; Bjoern Andres; Bjoern H. Menze (GRAIL/MFCA/MICGen@MICCAI, 2017)

Cell Lineage Tracing in Lens-Free Microscopy Videos. - Markus Rempfler; Sanjeev Kumar 005; Valentin Stierle; Philipp Paulitschke; Bjoern Andres; Bjoern H. Menze (MICCAI (2), 2017)

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. - Giles Tetteh; Markus Rempfler; Claus Zimmer; Bjoern H. Menze (MLMI@MICCAI, 2017)

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. - Patrick Ferdinand Christ; Florian Ettlinger; Felix Grün; Mohamed Ezzeldin A. Elshaer; Jana Lipková; Sebastian Schlecht; Freba Ahmaddy; Sunil Tatavarty; Marc Bickel; Patrick Bilic; Markus Rempfler; Felix Hofmann; et al. (CoRR, 2017)

Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation. - Jana Lipková; Markus Rempfler; Patrick Ferdinand Christ; John S. Lowengrub; Bjoern H. Menze (CoRR, 2017)

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. - Anjany Sekuboyina; Markus Rempfler; Jan Kukacka; Giles Tetteh; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (MICCAI (4), 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Tracing cell lineages in videos of lens-free microscopy. - Markus Rempfler; Valentin Stierle; Konstantin Ditzel; Sanjeev Kumar 005; Philipp Paulitschke; Bjoern Andres; Bjoern H. Menze (Medical Image Anal., 2018)

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Maximilian Löffler; Jan S. Kirschke; Bjoern H. Menze (MICCAI (6), 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)

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (CoRR, 2019)

Graph Inference in Biomedical Image Analysis. - Markus Rempfler (2019)

RDCNet: Instance Segmentation with a Minimalist Recurrent Residual Network. - Raphael Ortiz; Gustavo de Medeiros; Antoine H. F. M. Peters; Prisca Liberali; Markus Rempfler (MLMI@MICCAI, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. - Fabian Balsiger; Alain Jungo; Naren Akash R. J; Jianan Chen 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

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)