Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Martin Bergtholdt"'
Autor:
Cristian Lorenz, Martin Bergtholdt, Carsten Meyer, Jens von Berg, Alexander Oliver Mader, Jan Modersitzki, Hauke Schramm
Publikováno v:
Computer Vision and Image Understanding. :45-53
The automatic detection and accurate localization of landmarks is a crucial task in medical imaging. It is necessary for tasks like diagnosis, surgical planning, and post-operative assessment. A common approach to localize multiple landmarks is to co
Publikováno v:
ISBI
In this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose difficulties in the automatic image analysis on account of variable field-of-view, diverse patient po
Autor:
Alzheimer’s Disease Neuroimaging Initiative, M. Arfan Ikram, Elisabeth J Vinke, Hieab H.H. Adams, Fabian Wenzel, Frank Jan de Jong, Meike W. Vernooij, Rebecca M. E. Steketee, Wyke Huizinga, Wiro J. Niessen, Janne M. Papma, Martin Bergtholdt
Publikováno v:
Neurobiology of Aging
Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology, 84
Neurobiology of Aging, 84, 9-16. Elsevier Inc.
Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology, 84
Neurobiology of Aging, 84, 9-16. Elsevier Inc.
Brain imaging data are increasingly made publicly accessible, and volumetric imaging measures derived from population-based cohorts may serve as normative data for individual patient diagnostic assessment. Yet, these normative cohorts are usually not
Autor:
Detlef Mentrup, Martin Bergtholdt, Roman Fischbach, Julien Senegas, Axel Saalbach, Sascha Jockel
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335
MICCAI (2)
MICCAI (2)
The aim of this study was to evaluate the performance of a machine learning algorithm applied to depth images for the automated computation of X-ray beam collimation parameters in radiographic chest examinations including posterior-anterior (PA) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa3777197de0f6273e9b428b6bbd6e3
https://doi.org/10.1007/978-3-030-00934-2_64
https://doi.org/10.1007/978-3-030-00934-2_64
Autor:
Hauke Schramm, Martin Bergtholdt, Cristian Lorenz, Carsten Meyer, Jens von Berg, Jan Modersitzki, Alexander Oliver Mader
Publikováno v:
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics ISBN: 9783319676746
GRAIL/MFCA/MICGen@MICCAI
GRAIL/MFCA/MICGen@MICCAI
The detection and localization of single or multiple landmarks is a crucial task in medical imaging. It is often required as initialization for other tasks like segmentation or registration. A common approach to localize multiple landmarks is to expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ee1bf0f962f293ece61ac2b41b41d08
https://doi.org/10.1007/978-3-319-67675-3_7
https://doi.org/10.1007/978-3-319-67675-3_7
Autor:
Ingwer-Curt Carlsen, Rafael Wiemker, Tobias Klinder, Thomas Bülow, Kirsten Meetz, Martin Bergtholdt
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 19:353-366
The concept of curvature and shape-based rendering is beneficial for medical visualization of CT and MRI image volumes. Color-coding of local shape properties derived from the analysis of the local Hessian can implicitly highlight tubular structures
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Automatic detection of lung nodules from chest CT has been researched intensively over the last decades resulting also in several commercial products. However, solutions are adopted only slowly into daily clinical routine as many current CAD systems
Autor:
Torbjorn Vik, Nicole Schadewaldt, Martin Bergtholdt, Daniel Bystrov, Astrid Franz, Heinrich Schulz
Publikováno v:
Medical Imaging: Image Processing
Automated interpretation of CT scans is an important, clinically relevant area as the number of such scans is increasing rapidly and the interpretation is time consuming. Anatomy localization is an important prerequisite for any such interpretation t
Publikováno v:
International Journal of Computer Vision. 87:93-117
Object detection is one of the key components in modern computer vision systems. While the detection of a specific rigid object under changing viewpoints was considered hard just a few years ago, current research strives to detect and recognize class
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
The recently published Vancouver model for lung nodule malignancy prediction holds great promise as a practically feasible tool to mitigate the clinical decision problem of how to act on a lung nodule detected at baseline screening. It provides a for