Publications
Research Output
14 results
Gestational stage prediction from cervical tissue analysis using imaging Mueller polarimetry data↗
Chae, S., Ajmal, A., Pei, J., Sanchez, A., Boonya-ananta, T., Rodriguez, A., Novikova, T., & Ramella-Roman, J. C.
arXiv preprint arXiv:2602.24139
DOI: 10.48550/arXiv.2602.24139Intensity-based segmentation of tissue images using a U-Net with a pretrained ResNet-34 encoder: application to Mueller microscopy↗
Chae, S., Giammattei, D., Ajmal, A., Pei, J., Sanchez, A., Boonya-ananta, T., Rodriguez, A., Novikova, T., & Ramella-Roman, J.
arXiv preprint arXiv:2602.09787
DOI: 10.48550/arXiv.2602.09787Retardance and depolarization of brain white matter for intraoperative delineation of brain tumors: experiments and simulations↗
Wang, M., Chae, S., Lukinsonė, V., Lucas, T., Rodríguez-Núñez, O., Gros, É., Hahne, C., Hewer, E., Maragkou, T., McKinley, R., Schucht, P., & Novikova, T.
Biomedical Optics Express, 16(12), 5261–5278
DOI: 10.1364/BOE.577075Machine learning approach to 3×4 Mueller polarimetry for complete reconstruction of diagnostic polarimetric images of biological tissues↗
Chae, S., Huang, T., Rodríguez-Núñez, O., Lucas, T., Vanel, J. C., Vizet, J., et al., & Novikova, T.
IEEE Transactions on Medical Imaging, 44(9)
DOI: 10.1109/TMI.2025.3567570Physical realizability test for partial Mueller matrix using supervised learning algorithms· In preparation
Chae, S., Wang, M., Albano, G., Lucas, T., Rodríguez-Núñez, O., Gros, É., Hahne, C., Schucht, P., Maragkou, T., McKinley, R., & Novikova, T.
In preparation
Polarization-Sensitive Microscopy· Submitted
Novikova, T., Rodríguez-Núñez, O., Lucas, T., Chae, S.
Optical Techniques in Clinical Applications, Progress in Optical Science and Photonics, Springer Nature
Physics-Informed Machine Learning System and Method for Real-Time Extraction of Polarimetric Parameters from Complete and Partial Mueller Matrices
Novikova, T., Chae, S., & Chae, H.
EU Patent Application FR2604664
Collagen quantification using Mueller matrix imaging with second-harmonic generation
Chae, S., Ajmal, A., Pei, J., Novikova, T., & Ramella-Roman, J. C.
SPIE Photonics Europe 2026, Tissue Optics and Photonics IV (PE124-12), Strasbourg, France
Physical realizability test for partial 3×4 Mueller matrix using supervised learning algorithms↗
Chae, S., Wang, M., Lucas, T., Rodríguez-Núñez, O., et al., & Novikova, T.
SPIE Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 13322, San Francisco, CA
DOI: 10.1117/12.3075258Machine learning approach to 3×4 Mueller polarimetry for complete reconstruction of diagnostic polarimetric images of biological tissues↗
Chae, S., Huang, T., Rodríguez-Núñez, O., Lucas, T., et al., & Novikova, T.
SPIE Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 13322, 133220A, San Francisco, CA
DOI: 10.1117/12.3042830Physics-informed and ML-based filtering for partial Mueller matrices in biomedical polarimetry↗
Chae, S., & Novikova, T.
Journées Imagerie Optique Non Conventionnelle – 21e édition, Paris
Fast Mueller matrix decomposition using physics-informed algorithms for intraoperative neurosurgery↗
Chae, S., Chae, H., Lucas, T., Rodríguez-Núñez, O., et al., & Novikova, T.
Northeast Symposium on Biomedical Optics (NESBO), MIT, Cambridge, MA
Mueller matrix decomposition using physics-informed algorithms↗
Chae, S., Chae, H., Lucas, T., Rodríguez-Núñez, O., et al., & Novikova, T.
4th International Workshop on BioPhotonics and Optical Angular Momentum, Palaiseau, France
Monte Carlo modelling of polarimetric images of white matter of brain tissue for neurosurgery↗
Wang, M., Chae, S., Lukinsonė, V., Lucas, T., et al., & Novikova, T.
Journées Imagerie Optique Non Conventionnelle – 20e édition, Paris