Recent publications

October 2022

Measurably Stronger Explanation Reliability Via Model Canonization

Franz Motzkus, Sebastian Lapuschkin, Leander Weber

Network canonization has recently been introduced, restructuring a neural network model into a functionally identical equivalent to which established explanation methods can be applied optimally. In this work, we quantitatively verify the...


October 2022

To Pretrain or Not? A Systematic Analysis of the Benefits of Pretraining in Diabetic Retinopathy

Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Alexander Binder, Nils Strodthoff, Jackie Ma

In this work, we aim to understand what type of pretraining works reliably in practice and what type of pretraining dataset is best suited to achieve good performance in small target dataset size scenarios. Considering diabetic retinopathy...


October 2022

Optical Generation and Transmission of mmWave Signals in 5G ERA: Experimental Evaluation Paradigm

Efstathios Andrianopoulos, Christos Kouloumentas, Norbert Keil, David de Felipe Mesquida, Simon Nellen, Panos Groumas, Lefteris Gounaridis, Christos Tsokos, Tianwen Qian, Herkules Avramopoulos, Adam Raptakis, Nikolaos K. Lyras

We demonstrate the generation, of a mmWave signal via the injection of an optical frequency comb (OFC) into an integrated tunable dual distributed Bragg reflector (DBR) laser as well as the fiber transmission and the processing of this signal by...


October 2022

Ultrawideband Systems and Networks: Beyond C+L -Band

Takeshi Hoshida, Johannes Fischer, Tomoyuki Kato, Vittorio Curri, Wladek Forysiak, Lidia Galdino, David T. Neilson, Pierluigi Poggiolini

In the evolution of optical networks, enhancement of spectral efficiency (SE) enhancement has been the most cost-efficient and thus the main driver for capacity enhancementincrease for decades. As a result, the development of optical transport...


October 2022

Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Charul Daudkhane

This work proposes a parallel neural network based demosaicing procedure for single-camera-one-shot-for hyperspectral imaging trained on a new ground truth dataset captured in a controlled environment by a hyperspectral snapshot camera with a 4×4...


September 2022

Advanced DSP-based Monitoring for Spatially resolved and Wavelength-dependent Amplifier Gain Estimation and Fault Location in C+L-band Systems

Matheus Ribeiro Sena, Colja Schubert, Ronald Freund, Johannes Fischer, Antonio Napoli, Vittorio Curri, Robert Emmerich, Wladek Forysiak, Mohammad Behnam Shariati, Caio Marciano Santos, Pratim Hazarika, Bruno Correia

We study the benefits of applying advanced DSP-based monitoring on multiple wavelength division multiplexing (WDM) channels allocated in the optical grid to infer wavelength-wise characteristics of a C+L-band optical line system. In that context,...


September 2022

Experimental Investigation of Information Bit Scrambling for Physical-Layer Security in Coherent Fiber-Optic Systems

Carsten Schmidt-Langhorst, Colja Schubert, Robert Elschner, Robert F. H. Fischer, Robert Emmerich, Johannes Pfeiffer, Fabian Chowanek, In-Ho Baek

We experimentally demonstrate tap-proof coherent optical 640-Gb/s transmission based on encryption-less physical layer security. Information bit scrambling combined with soft-decision error-correction coding yields favorably small security gaps,...


September 2022

Towards High-Capacity THz-Wireless P2MP Communication Systems for 6G

Oliver Stiewe, Colja Schubert, Ronald Freund, Robert Elschner, Stefan Weide, Andreas Maaßen

We present different concepts of a THz-wireless point-to-multipoint (P2MP) communication system based on fast spatio-temporal beam-switching in the THz domain and discuss implications for the system and the DSP design. Characterization results...


August 2022

Perfusion Assessment via Local Remote Photoplethysmography (rPPG)

Benjamin Kossack, Peter Eisert, Anna Hilsmann, Eric Wisotzky, Sebastian Schraven, Brigitta Globke

We present an approach to assess the perfusion of visible human tissue from RGB video files. We show that locally resolved rPPG-signals can be used for intraoperative perfusion analysis and visualization during skin and organ transplantation as...


August 2022

Explaint to not Forget: Defending Against Catastrophic Forgetting with XAI

Sami Ede, Wojciech Samek, Sebastian Lapuschkin, Leander Weber, Serop Baghdadlian, An Nguyen, Dario Zanca

The ability to continuously process and retain new information like we do naturally as humans is a feat that is highly sought after when training neural networks. Unfortunately, the traditional optimization algorithms often require large amounts...



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