Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. - Omer Rajput; Nils Gessert; Martin Gromniak; Lars Matthäus; Alexander Schlaefer (CoRR, 2018)

Deep Reinforcement Learning for Mobile Robot Navigation. - Martin Gromniak; Jonas Stenzel (ACIRS, 2019)

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. - Nils Gessert; Martin Gromniak; Matthias Schlüter; Alexander Schlaefer (Image-Guided Procedures, 2019)

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. - Nils Gessert; Martin Gromniak; Marcel Bengs; Lars Matthäus; Alexander Schlaefer (CoRR, 2019)

High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. - Matthias Schlüter; Lukas Glandorf; Johanna Sprenger; Martin Gromniak; Maximilian Neidhardt; Thore Saathoff; Alexander Schlaefer (ISBI, 2020)

Needle tip force estimation by deep learning from raw spectral OCT data. - Martin Gromniak; Nils Gessert; Thore Saathoff; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2020)

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography. - Matthias Schlüter; Lukas Glandorf; Martin Gromniak; Thore Saathoff; Alexander Schlaefer (Sensors, 2020)

Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion. - Robin Mieling; Carolin Stapper; Stefan Gerlach; Maximilian Neidhardt; Sarah Latus; Martin Gromniak; Philipp Breitfeld; Alexander Schlaefer (EuroHaptics, 2022)

Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses. - Maximilian Neidhardt; Stefan Gerlach; Robin Mieling; Max-Heinrich Laves; Thorben Weiß; Martin Gromniak; Antonia Fitzek; Dustin Möbius; Inga Kniep; Alexandra Ron; Julia Schädler; Axel Heinemann; et al. (CoRR, 2022)

Neural Field Conditioning Strategies for 2D Semantic Segmentation. - Martin Gromniak; Sven Magg; Stefan Wermter (ICANN (2), 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Xufeng Zhao 002; Sven Magg; Martin Gromniak; Mengdi Li; Stefan Wermter (ICDL, 2023)

A Closer Look at Reward Decomposition for High-Level Robotic Explanations. - Wenhao Lu; Sven Magg; Xufeng Zhao 002; Martin Gromniak; Stefan Wermter (CoRR, 2023)