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Jürgen Herp
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2020 – today
- 2023
- [j3]Jürgen Herp, Jan-Matthias Braun
, Manuella L. Cantuaria
, Ashkan Tashk
, Torben Brøchner Pedersen
, M. H. A. Poulsen, Merete Krogh, Esmaeil S. Nadimi
, S. P. Sheikh:
Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer. IEEE Access 11: 50295-50309 (2023) - 2022
- [c6]Ashkan Tashk, Kasim E. Sahin, Jürgen Herp, Esmaeil S. Nadimi
:
A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images. IPAS 2022: 1-6 - 2021
- [c5]Tomás Majtner
, Buda Bajic, Jürgen Herp:
Texture-Based Image Transformations for Improved Deep Learning Classification. CIARP 2021: 207-216 - 2020
- [j2]Esmaeil S. Nadimi
, Maria M. Buijs, Jürgen Herp, Rasmus Kroijer
, Morten Kobaek-Larsen
, Emilie Nielsen, Claus D. Pedersen, Victoria Blanes-Vidal
, Gunnar Baatrup
:
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Comput. Electr. Eng. 81: 106531 (2020)
2010 – 2019
- 2018
- [c4]Jürgen Herp
, Esmaeil S. Nadimi
:
Dimensionality reduction by bayesian eigenvalue-analysis for state prediction in large sensor systems: with application in wind turbines. RACS 2018: 1-5 - 2017
- [j1]Jürgen Herp
, Mohammad H. Ramezani
, Esmaeil S. Nadimi
:
Dependency in State Transitions of Wind Turbines - Inference on Model Residuals for State Abstractions. IEEE Trans. Ind. Electron. 64(6): 4836-4845 (2017) - [c3]Esmaeil S. Nadimi
, Jürgen Herp
, Maria M. Buijs, Victoria Blanes-Vidal
:
Texture classification from single uncalibrated images: Random matrix theory approach. MLSP 2017: 1-6 - 2015
- [c2]Jürgen Herp
, Mohammad H. Ramezani
:
State transition of wind turbines based on empirical inference on model residuals. RACS 2015: 32-37 - [c1]Esmaeil S. Nadimi
, Jürgen Herp
, Mohammad H. Ramezani
:
Semi-definite programming-based localization algorithm in networks with inhomogeneous transmission medium. RACS 2015: 223-226
Coauthor Index
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