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Nikolas D. Schnellbächer

Observed names: Nikolas D Schnellbächer, Nikolas D. Schnellbaecher, Nikolas Schnellbaecher, Nikolas Schnellbächer, Schnellbächer, Nikolas David
Institution: Philips (Germany)
ORCID: 0000-0001-8095-9382
Observed ORCID: 0000-0001-8095-9382
OpenAlex ID: A5033900396
Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures
2019 · Andrea Imle, Peter Kumberger, et al. · Nature Communications · 76
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Cytoplasmic flows in starfish oocytes are fully determined by cortical contractions
2018 · Nils Klughammer, Johanna Bischof, et al. · PLoS Computational Biology · 56
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Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors
2021 · Patrick Binder, Nikolas D. Schnellbächer, et al. · Proceedings of the National Academy of Sciences · 11
The power of a single trajectory
2018 · Nikolas D Schnellbächer, Ulrich S Schwarz · New Journal of Physics · 9
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Cascaded learning in intravascular ultrasound: coronary stent delineation in manual pullbacks
2022 · Tobias Wissel, Katharina A. Riedl, et al. · Journal of medical imaging · 8
Delineation of coronary stents in intravascular ultrasound pullbacks
2021 · Tobias Wissel, Katharina A. Riedl, et al. · SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling · 2
Performance of a Deep Learning Reconstruction Method on Clinical Chest–Abdomen–Pelvis Scans from a Dual-Layer Detector CT System
2025 · Christopher Schuppert, Stefanie Rahn, et al. · Tomography · 1
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Machine-learning based clinical plaque detection using a synthetic plaque lesion model for coronary CTA
2021 · Nikolas D. Schnellbächer, Haissam Ragab, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 1
Brain cone-beam CT image quality improvement using a deep-learning-based denoising method: a multicenter retrospective study
2026 · Fredrik Ståhl, Nicole M. Cancelliere, et al. · Neuroradiology
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Deep Learning-Based Deblurring for Computed Tomography and a Phantom Evaluation for Coronary Artery Calcium Detectability
2026 · Niels R. van der Werf, Nathan R. Huber, et al. · Journal of Computer Assisted Tomography
Abstract Number: Esoc2026a533 Deep Learning Based Streak Artefact Reduction in Cerebral Cone-beam Ct
2026 · Martin Kremnický, Fred van Nijatten, et al. · European Stroke Journal
Improved coronary artery calcium (CAC) detection in conventional CT with deep-learning image de-blurring
2024 · Christian Wülker, Niels R. van der Werf, et al. · SPIE Medical Imaging: Physics of Medical Imaging
Particle-based computer simulations of biological reaction-diffusion systems
2017 · Schnellbächer, Nikolas David · heiDOK (Heidelberg University)
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Works count: 13
Citation count: 164
H-index: 5
I10-index: 3
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