Aktuelle Publikationen

Mai 2023

Semantic modeling of cell damage prediction: A machine learning approach at human-level performance in dermatology

Patrick Wagner, Jackie Ma, Maximilian Springenberg, Marius Kröger, Rose K. C. Moritz, Johannes Schleusener, Martina C. Meinke

In this work we investigate cell damage in whole slice images of the epidermis. A common way for pathologists to annotate a score, characterising the degree of damage for these samples, is the ratio between healthy and unhealthy nuclei. The...


Mai 2023

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Luis Oala, Wojciech Samek, Gabriel Nobis, Christian Matek, Bruno Sanguinetti, Marco Aversa, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Jerome Extermann, Enrico Pomarico, Roderick Murray-Smith, Christoph Clausen

In this study, we pair traditional machine learning with physical optics to obtain explicit and differentiable data models. We demonstrate how such data models can be constructed for image data and used to control downstream machine learning...


April 2023

Optimization and Performance Evaluation of Single-mode SOI Waveguides for Ultra-broadband C-to-S Wavelength Conversion

Gregor Ronniger, Colja Schubert, Carsten Schmidt-Langhorst, Ronald Freund, Robert Elschner, Tomoyuki Kato, Isaac Sackey, Takeshi Hoshida, Hidenobu Muranaka, Shun Okada, Yu Tanaka, Tsuyoshi Yamamoto, Md Mahasin Khan

We implemented an all-optical C-to-S band wavelength converter based on low-complexity SOI strip waveguides. Its bandwidth was optimized and crosstalk issues were modeled numerically. These devices were experimentally evaluated to have a...


April 2023

Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Jean-Claude Rosenthal, Florian Uecker, Philipp Arens, Armin Schneider, Senna Meij, John van den Dobblesteen

Existing challenges in surgical education (See one, do one, teach one) as well as the COVID-19 pandemic make it necessary to develop new ways for surgical training. This work describes the implementation of a scalable remote solution called...


April 2023

Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies

Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel F. Külzer, Friedrich Burmeister, Frank H. P. Fitzek, Hans D. Schotten, Gerhard Fettweis, Sławomir Stańczak

The Berlin V2X dataset offers high-resolution GPS-located wireless measurements across diverse urban environments in the city of Berlin for both cellular and sidelink radio access technologies, including information on the physical layer,...


April 2023

Uniform Analysis of Multipath Components From Various Scenarios With Time-Domain Channel Sounding at 300GHz

Alper Schultze, Wilhelm Keusgen, Michael Peter, Ramez Askar, Thomas Kürner, Johannes M.Eckhardt, Tobias Doeker

For the first time, channel measurements at 300 GHz from various environments and different measurement systems are jointly analyzed and published.


April 2023

1x4 Vertical Power Splitter/Combiner: A Basic Building Block for Complex 3D Waveguide Routing Networks

Madeleine Weigel, Norbert Keil, Martin Schell, Moritz Kleinert, Crispin Zawadzki, D. De Felipe, Martin Kresse, Tianwen Qian, Jakob Reck, Klara Mihov, Jan H. Bach, Philipp Winklhofer

A novel polymer-based 1x4 vertical multimode interference (MMI) coupler for 3D photonics is presented. It connects four vertically stacked waveguide layers with a spacing of 21.6 µm. The functionality is demonstrated on a fabricated device.


April 2023

FedAUXfdp: Differentially Private One-Shot Federated Distillation

Haley Hoech, Karsten Müller, Wojciech Samek, Roman Rischke

Federated learning suffers in the case of non-iid local datasets, i.e., when the distributions of the clients’ data are heterogeneous. One promising approach to this challenge is the recently proposed method FedAUX. This work presents a fully...


April 2023

Coherent LiDAR with 2D quasi-static MEMS mirror scanning

Sarah Cwalina, Volker Jungnickel, Ronald Freund, Christoph Kottke, Norman Laske

Coherent LiDAR concepts for automotive applications are of increasing interest due to their superior performance, especially at longer range. Here, MEMS mirrors can be used as a compact scanning device. We demonstrate the operation of such a...


März 2023

Angle-Resolved THz Channel Measurements at 300 GHz in a Shopping Mall Scenario

Alper Schultze, Wilhelm Keusgen, Michael Peter, Ramez Askar, Taro Eichler

This paper presents first results of channel measurements conducted at 300GHz in a shopping mall scenario. Angle-resolved channel impulse responses were analysed with regards to channel parameters. A novelty of this work is the channel parameter...


März 2023

Microwave Photonic ps-Pulse and 140 GHz RF Comb Generator

Hendrik Boerma, Felix Ganzer, Patrick Runge, Martin Schell, Edgar Fernandes, Benjamin Rudin, Florian Emaury

A microwave photonic RF comb generator is presented by combining an fs-pulse laser and a high-speed broadband photodetector module. The subsystem generates pulses with a FWHM of 5.8 ps and a flat RF comb up to 140 GHz. Furthermore, the...


März 2023

Colorless and Directionless ROADM for Meshed Coupled-Core Multicore Fiber Networks

R.S. Luis, A. Mecozzi, Colja Schubert, Robert Emmerich, Nicolas Braig-Christophersen, Georg Rademacher, Hideaki Furukawa, Giammarco Di Sciullo, Benjamin Puttnam, Andrea Marotta, Ralf Stolte, Fabio Graziosi, Tetsuya Hayashi, Takuji Nagashima, Cristian Antonelli

Researchers from NICT, University of L’Aquila, Finisar and Sumitomo demonstrate the first meshed spatial-super-channel switching SDM network using field-deployed coupled-core multicore fibers with a 3 line-side, colorless, directionless ROADM....


März 2023

Real-Time Sub-THz Link Enabled Purely by Optoelectronics: 90–310 GHz Seamless Operation

Efstathios Andrianopoulos, Norbert Keil, Martin Schell, David de Felipe Mesquida, Simon Nellen, Ch. Kouloumentas, Robert Kohlhaas, Panos Groumas, Christos Tsokos, Tianwen Qian, Milan Deumer, Dimitrios Kritharidis, Panteleimon-Konstantinos Chartsias, Herkules Avramopoulos, Garrit William Johannes Schwanke, Nikolaos K. Lyras, Evangelos Pikasis, Georgia Ntouni, Eleftherios Loghis, Elias Tsirbas, Maria Massaouti

A photonics-enabled sub-THz wireless link operating in real-time settings, using a PIN-PD-based THz emitter, and a THz receiver based on an ultra-fast photoconductor is demonstrated. The real-time generation and detection of the information...


März 2023

Superiorized Adaptive Projected Subgradient Method with Application to MIMO Detection

Jochen Fink, Slawomir Stanczak, Renato L. G. Cavalcante

This paper establishes the bounded perturbation resilience of the adaptive projected subgradient method (APSM), a flexible convex optimization framework. Exploiting this property enables a vast variety of heuristic extensions of APSM-based...


März 2023

Guard-ring free InGaAs/InP single photon avalanche diodes for C-band quantum communication

Pascal Rustige, Patrick Runge, Martin Schell, Jan Krause, Lorenz Eckoldt

We present a guard-ring free InGaAs/InP single photon avalanche diode with 20 µm diameter for the optical C-band. At 225 K, 25.6 µs dead time and 17% detection efficiency, the dark count rate is 3 kcps with 0.5% afterpulsing probability. This...


März 2023

Demonstration of Multi-Hop Mode-Group Routing in a Field-Deployed Multi-Mode Fiber Network

Paola Parolari, A. Mecozzi, Colja Schubert, F. Achten, Robert Emmerich, Georg Rademacher, Ruben S. Luis, Giammarco Di Sciullo, Benjamin Puttnam, Andrea Marotta, Fabio Graziosi, Cristian Antonelli, Alberto Gatto, Pierre Sillard, Paolo Martelli, Pierpaolo Boffi, Giuseppe Ferri

Researchers from Politecnico di Milano, NICT, Prysmian and University of L’Aquila show that Space-division multiplexing can enhance node flexibility in urban networks by exploiting routing of weakly coupled mode groups. They demonstrate multi-hop...


März 2023

Partial MIMO-based Mode Division Multiplexing Transmission over the First Field-Deployed 15-Mode Fiber in Metro Scenario

Alberto Gatto, A. Mecozzi, Colja Schubert, F. Achten, Robert Emmerich, Georg Rademacher, Ruben S. Luis, Giammarco Di Sciullo, Benjamin Puttnam, Andrea Marotta, Fabio Graziosi, Cristian Antonelli, Paola Parolari, Giuseppe Ferri, Pierre Sillard, Paolo Martelli, Pierpaolo Boffi

Researchers from Politecnico di Milano, NICT, Prysmian and University of L’Aquila assess mode division multiplexing transmission based on partial MIMO equalization over 6.1 km of the first deployed 15-mode fiber. They demonstrate more than...


März 2023

Colorless and Directionless ROADM for Meshed Coupled-Core Multicore Fiber Networks

Ruben S. Luis, A. Mecozzi, Colja Schubert, Robert Emmerich, Nicolas Braig-Christophersen, Georg Rademacher, Hideaki Furukawa, Giammarco Di Sciullo, Benjamin Puttnam, Andrea Marotta, Ralf Stolte, Fabio Graziosi, Tetsuya Hayashi, Takuji Nagashima, Cristian Antonelli

Researchers from NICT, University of L’Aquila, Finisar, Prysmian and Nokia Bell Lab demonstrate a 2-line side 15-mode spatial division multiplexing network node based on fifteen 2×2 wavelength cross-connects to direct up to six 5 Tb/s, 15-mode,...


März 2023

System for 3D Acquisition and 3D Reconstruction Using Structured Light for Sewer Line Inspection

Johannes Wolf Künzel, Peter Eisert, Anna Hilsmann, Karl-Heinz Franke, Darco Vehar, Rico Nestler

We introduce an innovative system based on single-shot structured light modules that facilitates the detection and classification of spatial defects like jutting intrusions, spallings, or misaligned joints. This system creates highly accurate 3D...


Februar 2023

Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review

Leon Witt, Wojciech Samek, Mathis Heyer, Kentaroh Toyoda, Dan Li

The advent of federated learning (FL) has sparked a new paradigm of parallel and confidential decentralized machine learning (ML) with the potential of utilizing the computational power of a vast number of Internet of Things (IoT), mobile, and...



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