Martin Bergtholdt

23 papers B 1Journal 4Unranked 17
YearRankTypeTitle / Venue / Authors
2020 — conf
Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning.
ISBI
Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas
2018 J jnl
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field.
Comput. Vis. Image Underst.
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer
2018 — conf
Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams.
MICCAI (2)
Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach
2017 — conf
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field.
GRAIL/MFCA/MICGen@MICCAI
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer
2016 B conf
Precise anatomy localization in CT data by an improved probabilistic tissue type atlas.
Image Processing
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov
2016 — conf
Pulmonary nodule detection using a cascaded SVM classifier.
Computer-Aided Diagnosis
Martin Bergtholdt, Rafael Wiemker, Tobias Klinder
2015 — conf
An anatomically oriented breast model for MRI.
Image-Guided Procedures
Dominik Kutra, Martin Bergtholdt, Jörg Sabczynski, Olaf Dössel, Thomas Bülow
2015 — conf
Analysis of the Vancouver lung nodule malignancy model with respect to manual and automated segmentation.
Computer-Aided Diagnosis
Rafael Wiemker, Lilla Böözky, Martin Bergtholdt, Tobias Klinder
2015 — conf
Automated anatomy detection in CT localizer images.
ISBI
Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas
2013 J jnl
A Radial Structure Tensor and Its Use for Shape-Encoding Medical Visualization of Tubular and Nodular Structures.
IEEE Trans. Vis. Comput. Graph.
Rafael Wiemker, Tobias Klinder, Martin Bergtholdt, Kirsten Meetz, Ingwer C. Carlsen, Thomas Bülow
2013 — conf
Automatic assessment of the quality of patient positioning in mammography.
Computer-Aided Diagnosis
Thomas Bülow, Kirsten Meetz, Dominik Kutra, Thomas Netsch, Rafael Wiemker, Martin Bergtholdt, Jörg Sabczynski, Nataly Wieberneit, Manuela Freund, Ingrid Schulze-Wenck
2011 — conf
The impact of motion correction on lesion characterization in DCE breast MR images.
Computer-Aided Diagnosis
Martin Bergtholdt, Sven Kabus, Rafael Wiemker, Thomas Bülow
2010 J jnl
A Study of Parts-Based Object Class Detection Using Complete Graphs.
Int. J. Comput. Vis.
Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr
2010 — conf
Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI.
Computer-Aided Diagnosis
Thomas Bülow, Axel Saalbach, Martin Bergtholdt, Rafael Wiemker, Hans Buurman, Lina Arbash Meinel, Gillian Newstead
2010 J jnl
Multi-modality morphological correlation of axillary lymph nodes.
Int. J. Comput. Assist. Radiol. Surg.
Lina Arbash Meinel, Hiroyuki Abe, Martin Bergtholdt, Jacob Ecanow, Robert A. Schmidt, Gillian Newstead
2009 — conf
Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database.
Computer-Aided Diagnosis
Rafael Wiemker, Martin Bergtholdt, Ekta Dharaiya, Sven Kabus, Michael C. Lee
2009 — conf
Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images.
Computer-Aided Diagnosis
Lina Arbash Meinel, Martin Bergtholdt, Hiroyuki Abe, D. Huo, Thomas Bülow, Ingwer Carlsen, Gillian Newstead
2007 — conf
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.
DAGM-Symposium
Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
2007 — conf
Spine Detection and Labeling Using a Parts-Based Graphical Model.
IPMI
Stefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr
2006 — conf
Learning of Graphical Models and Efficient Inference for Object Class Recognition.
DAGM-Symposium
Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr
2006 — ch.
Variational Segmentation with Shape Priors.
Handbook of Mathematical Models in Computer Vision
Martin Bergtholdt, Daniel Cremers, Christoph Schnörr
2005 — conf
Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes.
DAGM-Symposium
Martin Bergtholdt, Christoph Schnörr
2002 — conf
Segmentation of 3D Medical Structures Using Robust Ray Propagation.
MICCAI (1)
Hüseyin Tek, Martin Bergtholdt, Dorin Comaniciu, James Williams