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Disambiguation of "Mauch, Lukas"

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Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.

, , , , , , , , , , , , and . APSIPA, page 838-847. IEEE, (2018)

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Manuel Mauch University of Stuttgart

Nina Lukashina University of Stuttgart

Philipp Maucher University of Stuttgart

Clemens Maucher University of Stuttgart

Lukas Hauser University of Stuttgart

 

Other publications of authors with the same name

Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements., , and . CoRR, (2018)Automatic reference-free detection and quantification of MR image artifacts in human examinations due to motion, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging, , , , , , , , , and 3 other author(s). 2018 10th Asia-Pacific Signal And Information Processing Association Annual Summit And Conference (APSIPA ASC), page 838-847. IEEE, (2018)Automated Detection of Solar Cell Defects with Deep Learning, , , , and . 2018 26th European Signal Processing Conference (EUSIPCO), page 2035-2039. Piscataway, NJ, IEEE, (2018)Least-Squares Based Layerwise Pruning Of Convolutional Neural Networks., and . SSP, page 60-64. IEEE, (2018)Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging, , , , , , , , , and . Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2018)A new approach for supervised power disaggregation by using a deep recurrent LSTM network, and . Proceedings of the 3rd IEEE Global Conference on Signal and Information Processing GlobalSIP 2015, March 2015, Orlando, Florida, page 63-67. Piscataway, NJ, IEEE, (2015)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Motion Artifact Detection, , , , , , , , , and 3 other author(s). Proceedings of the IEEE Asia-Pacific Signal and Information Processing Association (APSIPA), (2018)Differentiable Quantization of Deep Neural Networks., , , , , , , and . CoRR, (2019)Deep Neural Network inference with reduced word length., and . CoRR, (2018)