State transition of wind turbines based on empirical inference on model residuals. - Jürgen Herp; Mohammad H. Ramezani (RACS, 2015)

Semi-definite programming-based localization algorithm in networks with inhomogeneous transmission medium. - Esmaeil S. Nadimi; Jürgen Herp; Mohammad H. Ramezani (RACS, 2015)

Texture classification from single uncalibrated images: Random matrix theory approach. - Esmaeil S. Nadimi; Jürgen Herp; Maria M. Buijs; Victoria Blanes-Vidal (MLSP, 2017)

Dependency in State Transitions of Wind Turbines - Inference on Model Residuals for State Abstractions. - Jürgen Herp; Mohammad H. Ramezani; Esmaeil S. Nadimi (IEEE Trans. Ind. Electron., 2017)

Dimensionality reduction by bayesian eigenvalue-analysis for state prediction in large sensor systems: with application in wind turbines. - Jürgen Herp; Esmaeil S. Nadimi (RACS, 2018)

Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. - Esmaeil S. Nadimi; Maria M. Buijs; Jürgen Herp; Rasmus Kroijer; Morten Kobaek-Larsen; Emilie Nielsen; Claus D. Pedersen; Victoria Blanes-Vidal; Gunnar Baatrup (Comput. Electr. Eng., 2020)

Texture-Based Image Transformations for Improved Deep Learning Classification. - Tomás Majtner; Buda Bajic; Jürgen Herp (CIARP, 2021)

A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images. - Ashkan Tashk; Kasim E. Sahin; Jürgen Herp; Esmaeil S. Nadimi (IPAS, 2022)

Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer. - 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 (IEEE Access, 2023)