Publications

Timo Kepp; Jan Ehrhardt; Mattias P. Heinrich; Gereon Hüttmann; Heinz Handels

Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks

In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE International Symposium on Biomedical Imaging (ISBI-2019), April 8-11, Venice, Italy, Pages 1437-1440, IEEE, 2019.

Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P Heinrich; Heinz Handels

Segmentation of retinal low-cost optical coherence tomography images using deep learning

In: Horst K. Hahn; Maciej A. Mazurowski (Hrsg.). Medical Imaging 2020: Computer-Aided Diagnosis. SPIE Medical Imaging, located at SPIE medical Imaging, February 15-20, Houston, Texas, USA, Vol. 11314, ISBN 978151063395, SPIE, 2020.

Khurram Azeem Hashmi; Jwalin Bhatt; Muhammad Zeshan Afzal; Didier Stricker

A Survey of Graphical Page Object Detection with Deep Neural Networks

In: Applied Sciences, Vol. 11, No. 12, Pages 1-21, MDPI, Basel, Switzerland, 6/2021.

Muhammad Ahmed; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

In: Radu Danescu (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21, No. 15, Pages 1-30, MDPI, 2021.

Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, Athens, Greece, ELSEVIER, 2021.

Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

Kumail Raza; René Schuster; Didier Stricker

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 45-54, CUMINCAD, 2021.

Hardik Arora; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Christoph Ziegler; Klaus-Dieter Althoff; Andreas Dengel

Consistency Checker – An automatic constraint-based evaluator for housing spatial configurations

In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, CUMINCAD, 2021.