Peer-Reviewed Research
Publications
Peer-reviewed publications in inverse modeling, uncertainty-aware AI, and biophotonics.

Selected Publications
Selected peer-reviewed publications in inverse modeling, AI, and biophotonics
Journal Articles
R. Houhou, P. Barman, M. Schmitt, T. Meyer, J. Popp, T. Bocklitz
Deep Learning as Phase Retrieval Tool for CARS Spectra
Optics Express, 28(14), 21002–21024 (2020)
[DOI]
R. Houhou, E. Quansah, T. Meyer-Zedler, M. Schmitt, F. Hoffmann, O. Guntinas-Lichius, J. Popp, T. Bocklitz
Comparison of Denoising Tools for the Reconstruction of Nonlinear Multimodal Images
Biomedical Optics Express, 14(7), 3259–3278 (2023)
[DOI]
R. Houhou, P. Rösch, J. Popp, T. Bocklitz
Comparison of Functional and Discrete Data Analysis Regimes for Raman Spectra
Analytical and Bioanalytical Chemistry, 413(22), 5633–5644 (2021)
[DOI]
M. Adhikari, R. Houhou, J. Hniopek, T. Bocklitz
Review of Fluorescence Lifetime Imaging Microscopy (FLIM) Data Analysis using Machine Learning
Journal of Experimental and theoretical Analyses, 1(1), 44-63 (2023)
[DOI]
R. Houhou, T. Bocklitz
Trends in Artificial Intelligence, Machine Learning, and Chemometrics Applied to Chemical Data
Analytical Science Advances, 2(3–4), 128–141 (2021)
[DOI]
Conference Papers
E. Christodoulou, A. Reinke, R. Houhou, et al.
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
MICCAI 2024, Lecture Notes in Computer Science, vol. 15010 (2024)
[DOI]
Book Chapters
R. Houhou, T. Bocklitz
Photonic Data Science for Raman Data Analysis
In: Raman Spectroscopy in Human Health and Biomedicine (2024)
[DOI]
S. Guo, O. Ryabchykov, N. Ali, R. Houhou, T. Bocklitz
Chemometrics in Raman Spectroscopy
In: Comprehensive Chemometrics (2020)
[DOI]
Thesis
Dr. Rola Houhou
Inverse and Forward Modeling Tools for Biophotonic Data
PhD Thesis, Friedrich Schiller University Jena (2022)
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Full publication list available on GitHub
Collaboration
Open to collaboration, co-authorship, and research discussions in inverse modeling, uncertainty quantification, and biophotonic systems.
