Segmentation of 3D Medical Structures Using Robust Ray Propagation. - Hüseyin Tek; Martin Bergtholdt; Dorin Comaniciu; James Williams 003 (MICCAI (1), 2002)

Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. - Martin Bergtholdt; Christoph Schnörr (DAGM-Symposium, 2005)

Variational Segmentation with Shape Priors. - Martin Bergtholdt; Daniel Cremers; Christoph Schnörr (Handbook of Mathematical Models in Computer Vision, 2006)

Learning of Graphical Models and Efficient Inference for Object Class Recognition. - Martin Bergtholdt; Jörg H. Kappes; Christoph Schnörr (DAGM-Symposium, 2006)

Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. - Rezaul Karim; Martin Bergtholdt; Jörg H. Kappes; Christoph Schnörr (DAGM-Symposium, 2007)

Spine Detection and Labeling Using a Parts-Based Graphical Model. - Stefan Schmidt 001; Jörg H. Kappes; Martin Bergtholdt; Vladimir Pekar; Sebastian P. M. Dries; Daniel Bystrov; Christoph Schnörr (IPMI, 2007)

Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images. - Lina Arbash Meinel; Martin Bergtholdt; Hiroyuki Abe; D. Huo; Thomas Bülow; Ingwer Carlsen; Gillian Newstead (Computer-Aided Diagnosis, 2009)

Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database. - Rafael Wiemker; Martin Bergtholdt; Ekta Dharaiya; Sven Kabus; Michael C. Lee (Computer-Aided Diagnosis, 2009)

Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. - Thomas Bülow; Axel Saalbach; Martin Bergtholdt; Rafael Wiemker; Hans Buurman; Lina Arbash Meinel; Gillian Newstead (Computer-Aided Diagnosis, 2010)

Multi-modality morphological correlation of axillary lymph nodes. - Lina Arbash Meinel; Hiroyuki Abe; Martin Bergtholdt; Jacob Ecanow; Robert A. Schmidt; Gillian Newstead (Int. J. Comput. Assist. Radiol. Surg., 2010)

A Study of Parts-Based Object Class Detection Using Complete Graphs. - Martin Bergtholdt; Jörg H. Kappes; Stefan Schmidt 001; Christoph Schnörr (Int. J. Comput. Vis., 2010)

The impact of motion correction on lesion characterization in DCE breast MR images. - Martin Bergtholdt; Sven Kabus; Rafael Wiemker; Thomas Bülow (Computer-Aided Diagnosis, 2011)

Automatic assessment of the quality of patient positioning in mammography. - Thomas Bülow; Kirsten Meetz; Dominik Kutra; Thomas Netsch; Rafael Wiemker; Martin Bergtholdt; Jörg Sabczynski; Nataly Wieberneit; Manuela Freund; Ingrid Schulze-Wenck (Computer-Aided Diagnosis, 2013)

A Radial Structure Tensor and Its Use for Shape-Encoding Medical Visualization of Tubular and Nodular Structures. - Rafael Wiemker; Tobias Klinder; Martin Bergtholdt; Kirsten Meetz; Ingwer C. Carlsen; Thomas Bülow (IEEE Trans. Vis. Comput. Graph., 2013)

Automated anatomy detection in CT localizer images. - Axel Saalbach; Martin Bergtholdt; Thomas Netsch; Julien Sénégas (ISBI, 2015)

Analysis of the Vancouver lung nodule malignancy model with respect to manual and automated segmentation. - Rafael Wiemker; Lilla Böözky; Martin Bergtholdt; Tobias Klinder (Computer-Aided Diagnosis, 2015)

An anatomically oriented breast model for MRI. - Dominik Kutra; Martin Bergtholdt; Jörg Sabczynski; Olaf Dössel; Thomas Bülow (Image-Guided Procedures, 2015)

Pulmonary nodule detection using a cascaded SVM classifier. - Martin Bergtholdt; Rafael Wiemker; Tobias Klinder (Computer-Aided Diagnosis, 2016)

Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. - Astrid Franz; Nicole Schadewaldt; Heinrich Schulz; Torbjørn Vik; Martin Bergtholdt; Daniel Bystrov (Image Processing, 2016)

Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. - Alexander Oliver Mader; Cristian Lorenz; Martin Bergtholdt; Jens von Berg; Hauke Schramm; Jan Modersitzki; Carsten Meyer (GRAIL/MFCA/MICGen@MICCAI, 2017)

Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. - Julien Sénégas; Axel Saalbach; Martin Bergtholdt; Sascha Jockel; Detlef Mentrup; Roman Fischbach (MICCAI (2), 2018)

Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. - Alexander Oliver Mader; Cristian Lorenz; Martin Bergtholdt; Jens von Berg; Hauke Schramm; Jan Modersitzki; Carsten Meyer (Comput. Vis. Image Underst., 2018)

Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. - Hrishikesh Deshpande; Martin Bergtholdt; Shlomo Gotman; Axel Saalbach; Julien Sénégas (ISBI, 2020)