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Nils Gählert
Nils Gählert
AI@exocad
Bestätigte E-Mail-Adresse bei exocad.com
Titel
Zitiert von
Zitiert von
Jahr
Radiomic machine learning for characterization of prostate lesions with MRI: comparison to ADC values
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Götz, ...
Radiology 289 (1), 128-137, 2018
2002018
Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography.
S Bickelhaupt, D Paech, P Kickingereder, F Steudle, W Lederer, H Daniel, ...
Journal of magnetic resonance imaging 46 (2), 604-616, 2017
1512017
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
N Gählert, N Jourdan, M Cordts, U Franke, J Denzler
arXiv preprint arXiv:2006.07864, 2020
572020
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
N Gählert, N Jourdan, M Cordts, U Franke, J Denzler
CVPRW 2020, 2020
572020
Visibility guided nms: Efficient boosting of amodal object detection in crowded traffic scenes
N Gählert, N Hanselmann, U Franke, J Denzler
arXiv preprint arXiv:2006.08547, 2020
252020
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
N Gählert, N Hanselmann, U Franke, J Denzler
ML4AD Workshop, 33rd NeurIPS, 2019
252019
Single-shot 3d detection of vehicles from monocular rgb images via geometrically constrained keypoints in real-time
N Gählert, JJ Wan, N Jourdan, J Finkbeiner, U Franke, J Denzler
2020 IEEE Intelligent Vehicles Symposium (IV), 437-444, 2020
152020
Mb-net: Mergeboxes for real-time 3d vehicles detection
N Gählert, M Mayer, L Schneider, U Franke, J Denzler
2018 IEEE Intelligent Vehicles Symposium (IV), 2117-2124, 2018
142018
Beyond bounding boxes: Using bounding shapes for real-time 3d vehicle detection from monocular rgb images
N Gählert, JJ Wan, M Weber, JM Zöllner, U Franke, J Denzler
2019 IEEE Intelligent Vehicles Symposium (IV), 675-682, 2019
122019
Single-shot 3d detection of vehicles from monocular rgb images via geometry constrained keypoints in real-time
N Gählert, JJ Wan, N Jourdan, J Finkbeiner, U Franke, J Denzler
arXiv preprint arXiv:2006.13084, 2020
92020
3d: Dataset and benchmark for 9 dof vehicle detection. arXiv 2020
N Gählert, N Jourdan, M Cordts, U Franke, JC Denzler
arXiv preprint arXiv:2006.07864, 0
5
Identifying out-of-distribution samples in real-time for safety-critical 2D object detection with margin entropy loss
Y Blei, N Jourdan, N Gählert
arXiv preprint arXiv:2209.00364, 2022
32022
Long Range Object-Level Monocular Depth Estimation for UAVs
D Silva, N Jourdan, N Gählert
Scandinavian Conference on Image Analysis, 325-340, 2023
2023
Towards real-time 3D vehicle detection from monocular images using deep learning
N Gählert
2021
Radiomic Machine Learning: Is It Really a Useful Method for the Characterization of Prostate Cancer? Response
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Goetz, ...
RADIOLOGY 291 (1), 270-270, 2019
2019
1 Definition Quantenkryptographie
N Gählert
2013
Comparison of Radiomics and Quantitative ADC Measurements of Prostate PI-RADS v2 Lesions to Prospective Radiologist Performance
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Götz, ...
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