Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Nils Gählert"'
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Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time
Autor: Joachim Denzler, Jan Finkbeiner, Uwe Franke, Nicolas Jourdan, Jun-Jun Wan, Nils Gählert
Publikováno v: 2020 IEEE Intelligent Vehicles Symposium (IV).
In this paper we propose a novel 3D single-shot object detection method for detecting vehicles in monocular RGB images. Our approach lifts 2D detections to 3D space by predicting additional regression and classification parameters and hence keeping t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aead146a7c6fada5a8367264fc6a49ba
https://doi.org/10.1109/iv47402.2020.9304847
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4
Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography
Autor: Franziska Steudle, Heinz Peter Schlemmer, Frederik Bernd Laun, David Bonekamp, Manuel Wiesenfarth, Michael Götz, Klaus H. Maier-Hein, Heidi Daniel, Wolfgang Lederer, Daniel Paech, Philipp Kickingereder, Nils Gählert, Sebastian Bickelhaupt, Diana Tichy
Publikováno v: Journal of Magnetic Resonance Imaging. 46:604-616
Purpose To assess radiomics as a tool to determine how well lesions found suspicious on breast cancer screening X-ray mammography can be categorized into malignant and benign with unenhanced magnetic resonance (MR) mammography with diffusion-weighted
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f34715dd6f5645af666012bbb2fdf58
https://doi.org/10.1002/jmri.25606
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5
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images
Autor: Uwe Franke, Nils Gählert, J. Marius Zollner, Michael Weber, Jun-Jun Wan, Joachim Denzler
Publikováno v: 2019 IEEE Intelligent Vehicles Symposium (IV).
The representation of objects as 2D bounding boxes in monocular RGB images limits the faculty of current computer vision systems to 2D object detection. It fails to provide crucial information such as the orientation of other vehicles, which is vital
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a990a4998290440c27b430551dd00c7
https://doi.org/10.1109/ivs.2019.8814036
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6
MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection
Autor: Uwe Franke, Marina Mayer, Joachim Denzler, Lukas Schneider, Nils Gählert
Publikováno v: Intelligent Vehicles Symposium
High performance vehicle detection and pose esti- mation in RGB images is essential for driver assistance systems as well as for autonomous vehicles. Classical 2D box-based detection schemes allow roughly estimating the position of other vehicles, bu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b48e910bee76d3ac2bcd8cef8de88dea
https://doi.org/10.1109/ivs.2018.8500395
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7
Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography
Autor: Sebastian, Bickelhaupt, Daniel, Paech, Philipp, Kickingereder, Franziska, Steudle, Wolfgang, Lederer, Heidi, Daniel, Michael, Götz, Nils, Gählert, Diana, Tichy, Manuel, Wiesenfarth, Frederik B, Laun, Klaus H, Maier-Hein, Heinz-Peter, Schlemmer, David, Bonekamp
Publikováno v: Journal of magnetic resonance imaging : JMRI. 46(2)
To assess radiomics as a tool to determine how well lesions found suspicious on breast cancer screening X-ray mammography can be categorized into malignant and benign with unenhanced magnetic resonance (MR) mammography with diffusion-weighted imaging
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::5e04f1d8962f3409791adb8af200c194
https://pubmed.ncbi.nlm.nih.gov/28152264
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