Florence ROSSANT
Head of the Dassip Team, PhD - Accredited to Supervise Research
Florence Rossant is currently the head of the DASSIP research group within the LISITE laboratory. She holds an HDR (Habilitation to Supervise Research) from Paris-Descartes University as well as a PhD in Signal and Image Processing from ENST (Télécom Paris).
She specializes in image processing applied to various fields, particularly in the medical domain. Her main contributions focus on the modeling of a priori knowledge in segmentation and pattern recognition algorithms.
She is a member of the PARIS research team at the Quinze-Vingts Hospital, which works on high-resolution imaging of the human eye, from acquisition systems to clinical applications. Florence Rossant has participated in several collaborative research projects funded by public agencies, involving industry, universities, and research centers, including 2 ANR projects, 2 FUI projects, and 1 RHU project.
Search interests:
> Computer Vision
> Medical Image Processing
> Machine Learning and Deep Learning Applied to Image Processing
Journals:
- F. Rossant, K. Grieve, M. Paques, Highlighting directional reflectance properties of retinal substructures from D-OCT images, IEEE Transactions on Biomedical Engineering (TBME), 2019
- N. Lermé, F. Rossant, I. Bloch, M. Paques, E. Koch, J. Benesty, A Fully Automatic Method For Segmenting Retinal Artery Walls in Adaptive Optics Images, Pattern Recognition Letters, 2016, Vol. 72, pp 72-81
- F. Rossant, I. Bloch, I. Ghorbel, M. Pâques, Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects, Pattern Recognition 48 (2015), pp. 3857-3870, 2015
- U. Verma, F. Rossant, I. Bloch, Segmentation and Size Estimation of Tomatoes from Sequences of Paired Images, EURASIP Journal on Image and Video Processing, 2015(1), 1-23
- I. Ghorbel, F. Rossant, I. Bloch, S.Tick, M. Pâques, Automated Segmentation of Macular Layers in OCT Images and Quantitative Evaluation of Performances, Pattern Recognition, vol. 44, no. 8, pp. 1590–1603, 2011
- F. Rossant, B. Mikovicova, M. Adam, M. Trocan, A Robust Iris Identification System Based on Wavelet Packet Decomposition and Local Comparisons of the Extracted Signatures, EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 415307, 16 pages, 2010
- F. Rossant, I. Bloch, Robust and Adaptive OMR System Including Fuzzy Modeling, Fusion of Musical Rules, and Possible Error Detection, EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 81541, 25 pages, 2007
- F. Rossant, I. Bloch, A fuzzy model for optical recognition of musical scores, Fuzzy Sets and Systems, vol. 141, n°2, pp. 165-201, 2004
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