Publications

Marja Fleitmann; Hristina Uzunova; Andreas Martin Stroth; Jan Gerlach; Alexander Fürschke; Jörg Barkhausen; Arpad Bischof; Heinz Handels

Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

In: Juan Ye; Michael J. O'Grady; Gabriele Civitarese; Kristina Yordanova (Hrsg.). Proceedings of the 10th EAI International Conference on Wireless Mobile Communication and Healthcare. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth-2021), November 13-14, Chongqing/Virtual, China, Pages 315-322, ISBN 978-3-030-70569-5, Springer International Publishing, 2021.

Hristina Uzunova; Jesse Kruse; Paul Kaftan; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability

In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), March 7-9, Regensburg, Germany, Pages 344-349, Springer, 2021.

Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

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

Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

Sk Aziz Ali; Kerem Kahraman; Gerd Reis; Didier Stricker

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network usingBarnes-Hut 2^D-Tree Representation

In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Virtual, IEEE, 6/2021.

Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

Hardik Arora; Christoph Langenhan; Frank Petzold; Viktor Eisenstadt; Klaus-Dieter Althoff

METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models

In: Proceedings of the European Conference on Product and Process Modeling 2020-2021. European Conference on Product and Process Modeling (ECPPM-2021), May 5-7, Moscow, Russian Federation, European Association of Product and Process Modelling, 2021.

Fabrizio Nunnari; Daniel Sonntag

A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021), June 8-11, Eindhoven/Virtual, Netherlands, EICS '21, ISBN 9781450384490, Association for Computing Machinery, 2021.

Wei Jiang; Hans Dieter Schotten

A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

Johannes Lahann; Martin Scheid; Peter Fettke

Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.