Toth Daniel
Siemens
3 Papers
Toth Daniel is an academic researcher from Siemens. The author has contributed to research in topics: Deep learning & Transformation (function). The author has co-authored 3 publications.
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Papers
Patent
Determining a transformation between coordinate frames of sets of image data
Kurzendorfer Tanja,Liao Rui,Mansi Tommaso,Miao Shun,Mountney Peter,Toth Daniel +5 more
- 02 May 2019
TL;DR: In this article, a method of determining a transformation between coordinate frames of sets of image data is proposed, where the model of a structure extracted from first source image data, the first target image data being generated according to a first imaging modality and having a first data format, different from the model's data format.
Patent
Methods for visualizing heart scar tissue
Mountney Peter,Reiml Sabrina,Toth Daniel,Brost Alexander,Panayiotou Maria,Rhode Kawal +5 more
- 03 Aug 2017
TL;DR: In this article, a method for visualization of scar tissue in medical imaging data of a heart is presented, where the computer deviates the thickness of the myocardium into a number of layers and calculates the presence and distribution of scar tissues within each of the layers.
Patent
Method and system for generating a confidence score using deep learning model
Ceccaldi Pascal,Mountney Peter,Toth Daniel,Cimen Serkan +3 more
- 04 May 2021
TL;DR: In this paper, an input image is provided to a computer and is processed therein with a first deep learning model so as to generate an output result for the input image; and applying a second deep-learning model is applied to the output image to generate output confidence score that is indicative of the reliability of any output result from the first deeplearning model for input image.