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Martin Bergtholdt
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2020 – today
- 2020
- [c18]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: 1130-1133
2010 – 2019
- 2018
- [j4]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. 176-177: 45-53 (2018) - [c17]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: 571-579 - 2017
- [c16]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: 64-75 - 2016
- [c15]Martin Bergtholdt, Rafael Wiemker, Tobias Klinder:
Pulmonary nodule detection using a cascaded SVM classifier. Medical Imaging: Computer-Aided Diagnosis 2016: 978513 - [c14]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: 978444 - 2015
- [c13]Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas:
Automated anatomy detection in CT localizer images. ISBI 2015: 1151-1154 - [c12]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: 94140B - [c11]Dominik Kutra, Martin Bergtholdt, Jörg Sabczynski, Olaf Dössel
, Thomas Bülow:
An anatomically oriented breast model for MRI. Medical Imaging: Image-Guided Procedures 2015: 941521 - 2013
- [j3]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): 353-366 (2013) - [c10]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: 867024 - 2011
- [c9]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: 79630Z - 2010
- [j2]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): 343-350 (2010) - [j1]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): 93-117 (2010) - [c8]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: 76241H
2000 – 2009
- 2009
- [c7]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: 72600H - [c6]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: 72602D - 2007
- [c5]Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium 2007: 395-404 - [c4]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: 122-133 - 2006
- [c3]Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr:
Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283 - [p1]Martin Bergtholdt, Daniel Cremers
, Christoph Schnörr:
Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision 2006: 131-143 - 2005
- [c2]Martin Bergtholdt, Christoph Schnörr:
Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium 2005: 342-350 - 2002
- [c1]Hüseyin Tek, Martin Bergtholdt, Dorin Comaniciu, James Williams:
Segmentation of 3D Medical Structures Using Robust Ray Propagation. MICCAI (1) 2002: 572-579
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