Sven Grünke

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14JAN 2020
News
New DFG Project on Book CT
It is a great pleasure to announce our new DFG Project on multimodal scanning of manuscripts. In the project, we will investigate joint scanning of books using X-ray, X-ray Darkfield, and Terahertz Imaging toward investigating whether their joint use enables further insights into inaccessible historical documents. The project is supported by a consortium of the […]
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10DEC 2019
News
PhD student receives AI Newcomer Award
Elisabeth Hoppe, a PhD student at the Pattern Recognition Lab, was awarded as one of this year’s 10 AI Newcomers. This award is granted to young researchers under 30 years for innovative developments in the area of artificial intelligence from the German Association of Computer Science (Gesellschaft für Informatik). Elisabeth was awarded for her achievements on deep […]
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02DEC 2019
News
PhD student receives Luise Prell-Preis 2019
Franziska Schirrmacher, a former PhD student at the Pattern Recognition Lab, receives this year’s Luise Prell-Preis for her excellent Master’s thesis, from which publications evolved. Parts of the thesis are published in a MICCAI paper and one Medical Image Analysis article, which was runner-up for the Medical Image Analysis/MICCAI Best Paper Award. In addition, an […]
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15NOV 2019
News
Second Best Work at MS-CMRseg Challenge (STACOM 2019)
Sulaiman Vesal, PhD student at the Pattern Recognition Lab, was awarded the second best work in the STACOM Multi-sequence Cardiac MR Segmentation Challenge at MICCAI 2019. The award was given for the paper: “Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation”, which introduced a robust method for cross-modality segmentation with few annotated LGE-MR samples.
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12NOV 2019
News
Five students excel in Deep Learning Class
Congratulations to Maniraman Periyasamy, Meike Biendl and Alexander Richter, Jonas Utz, and Henrik Willer for their outstanding achievements in the Deep Learning Challenge 2019! A great success. Please enjoy the backpacks that were donated by Nvidia!
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12NOV 2019
News
New DFG Project on Deep Learning in Medical Imaging funded!
In a cooperation with Marc Kachelriess (DKFZ), Michael Lell (Klinikum Nürnberg Nord) and our lab, we successfully applied for another DFG Project. The aim of the project is to estimate patient-individualised dose for a CT scan using deep learning techniques. In the project, we will unite deep learning reconstruction, segmentation, and dose estimation for the […]
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