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2020 – today
- 2023
[c6]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. ICANN (2) 2023: 520-532- [c5]Wenhao Lu, Xufeng Zhao
, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. ICDL 2023: 429-436 - [i7]Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. CoRR abs/2304.12958 (2023) - [i6]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. CoRR abs/2304.14371 (2023) - 2022
- [c4]Robin Mieling, Carolin Stapper, Stefan Gerlach, Maximilian Neidhardt, Sarah Latus, Martin Gromniak, Philipp Breitfeld, Alexander Schlaefer:
Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion. EuroHaptics 2022: 301-309 - [i5]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, Klaus Püschel, Benjamin Ondruschka, Alexander Schlaefer:
Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses. CoRR abs/2201.12168 (2022) - 2020
- [j2]Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer:
Needle tip force estimation by deep learning from raw spectral OCT data. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1699-1702 (2020) - [j1]Matthias Schlüter, Lukas Glandorf, Martin Gromniak, Thore Saathoff, Alexander Schlaefer:
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography. Sensors 20(9): 2678 (2020) - [c3]Matthias Schlüter, Lukas Glandorf, Johanna Sprenger, Martin Gromniak, Maximilian Neidhardt, Thore Saathoff, Alexander Schlaefer:
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. ISBI 2020: 1979-1982 - [i4]Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer:
Needle tip force estimation by deep learning from raw spectral OCT data. CoRR abs/2006.16675 (2020)
2010 – 2019
- 2019
- [c2]Martin Gromniak, Jonas Stenzel:
Deep Reinforcement Learning for Mobile Robot Navigation. ACIRS 2019: 68-73 - [c1]Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. Medical Imaging: Image-Guided Procedures 2019: 1095108 - [i3]Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR abs/1908.04186 (2019) - 2018
- [i2]Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer:
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. CoRR abs/1807.03651 (2018) - [i1]Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. CoRR abs/1810.09582 (2018)
Coauthor Index
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