Martin Bergtholdt

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 6

Top Topics

Automatically Learned

Spatially Correlated

Top Venues

Medical Imaging: Computer-Aided Diagnosis

GRAIL/MFCA/MICGen@MICCAI

Medical Imaging: Image-Guided Procedures

Publications

Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas
Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. ISBI (2020)
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Comput. Vis. Image Underst. (2018)
Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach
Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. MICCAI (2) (2018)
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. GRAIL/MFCA/MICGen@MICCAI (2017)
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov
Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. Medical Imaging: Image Processing (2016)
Martin Bergtholdt, Rafael Wiemker, Tobias Klinder
Pulmonary nodule detection using a cascaded SVM classifier. Medical Imaging: Computer-Aided Diagnosis (2016)
Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas
Automated anatomy detection in CT localizer images. ISBI (2015)
Rafael Wiemker, Lilla Böözky, Martin Bergtholdt, Tobias Klinder
Analysis of the Vancouver lung nodule malignancy model with respect to manual and automated segmentation. Medical Imaging: Computer-Aided Diagnosis (2015)
Dominik Kutra, Martin Bergtholdt, Jörg Sabczynski, Olaf Dössel, Thomas Bülow
An anatomically oriented breast model for MRI. Medical Imaging: Image-Guided Procedures (2015)
Thomas Bülow, Kirsten Meetz, Dominik Kutra, Thomas Netsch, Rafael Wiemker, Martin Bergtholdt, Jörg Sabczynski, Nataly Wieberneit, Manuela Freund, Ingrid Schulze-Wenck
Automatic assessment of the quality of patient positioning in mammography. Medical Imaging: Computer-Aided Diagnosis (2013)
Rafael Wiemker, Tobias Klinder, Martin Bergtholdt, Kirsten Meetz, Ingwer C. Carlsen, Thomas Bülow
A Radial Structure Tensor and Its Use for Shape-Encoding Medical Visualization of Tubular and Nodular Structures. IEEE Trans. Vis. Comput. Graph. 19 (3) (2013)
Martin Bergtholdt, Sven Kabus, Rafael Wiemker, Thomas Bülow
The impact of motion correction on lesion characterization in DCE breast MR images. Medical Imaging: Computer-Aided Diagnosis (2011)
Thomas Bülow, Axel Saalbach, Martin Bergtholdt, Rafael Wiemker, Hans Buurman, Lina Arbash Meinel, Gillian Newstead
Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. Medical Imaging: Computer-Aided Diagnosis (2010)
Lina Arbash Meinel, Hiroyuki Abe, Martin Bergtholdt, Jacob Ecanow, Robert A. Schmidt, Gillian Newstead
Multi-modality morphological correlation of axillary lymph nodes. Int. J. Comput. Assist. Radiol. Surg. 5 (4) (2010)
Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
A Study of Parts-Based Object Class Detection Using Complete Graphs. Int. J. Comput. Vis. 87 (1-2) (2010)
Rafael Wiemker, Martin Bergtholdt, Ekta Dharaiya, Sven Kabus, Michael C. Lee
Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database. Medical Imaging: Computer-Aided Diagnosis (2009)
Lina Arbash Meinel, Martin Bergtholdt, Hiroyuki Abe, D. Huo, Thomas Bülow, Ingwer Carlsen, Gillian Newstead
Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2009)
Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium (2007)
Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr
Spine Detection and Labeling Using a Parts-Based Graphical Model. IPMI (2007)
Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium (2006)
Martin Bergtholdt, Christoph Schnörr
Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium (2005)
Hüseyin Tek, Martin Bergtholdt, Dorin Comaniciu, James Williams
Segmentation of 3D Medical Structures Using Robust Ray Propagation. MICCAI (1) (2002)