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Angelo Jovin Yamachui Sitcheu

Observed names: Angelo Sitcheu, Angelo Yamachui Sitcheu, Sitcheu, A. J. Yamachui, Sitcheu, Angelo Jovin Yamachui, Sitcheu, Angelo Yamachui, Yamachui Sitcheu, Angelo Jovin
ORCID: 0009-0002-9384-6496
Observed ORCID: 0009-0002-9384-6496
OpenAlex ID: A5068115646
Ultra-high-scale cytometry-based cellular interaction mapping
2025 · Dominik Vonficht, Lea Jopp-Saile, et al. · Nature Methods · 9
Continuous Sign-Language Recognition using Transformers and Augmented Pose Estimation
2023 · Reemt Hinrichs, Angelo Sitcheu, et al. · International Conference on Pattern Recognition Applications and Methods · 8
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
2023 · Angelo Yamachui Sitcheu, Nils Friederich, et al. · KIT Scientific Publishing eBooks · 4
Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics
2025 · Johannes Seiffarth, Luisa Blöbaum, et al. · Lecture notes in computer science · 3
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EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
2024 · Nils Friederich, Angelo Sitcheu, et al. · 1
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AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy
2023 · Nils Friederich, Angelo Yamachui Sitcheu, et al. · KIT Scientific Publishing eBooks · 1
napari-TurboBox
2026 · Friederich, Nils, Kohle, Philip, et al. · Zenodo (CERN European Organization for Nuclear Research)
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
2026 · Lautenschlager, Thomas, Friederich, Nils, et al. · Repository KITopen (Karlsruhe Institute of Technology)
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Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
2025 · Lautenschlager, Thomas, Friederich, Nils, et al. · arXiv (Cornell University)
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Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
2025 · Baeuerle, Simon, Khanna, Pratik, et al. · Repository KITopen (Karlsruhe Institute of Technology)
EAP4EMSIG -- Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis
2025 · Friederich, Nils, Sitcheu, Angelo Jovin Yamachui, et al. · arXiv (Cornell University)
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Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics
2025 · Seiffarth, Johannes, Blöbaum, Luisa, et al. · RWTH Publications (RWTH Aachen)
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
2025 · Lautenschlager, Thomas, Friederich, Nils, et al. · KITopen
Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics
2024 · Seiffarth, J., Blöbaum, L., et al. · arXiv (Cornell University)
PDF
EAP4EMSIG -- Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
2024 · Friederich, Nils, Sitcheu, Angelo Jovin Yamachui, et al. · arXiv (Cornell University)
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AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy
2023 · Friederich, Nils, Sitcheu, Angelo Yamachui, et al. · arXiv (Cornell University)
PDF
Works count: 25
Citation count: 27
H-index: 3
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