Publications

2019

Rasti, Pejman, Christian Wolf, Hugo Dorez, Raphael Sablong, Driffa Moussata, Salma Samiei, and David Rousseau. "Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser Endomicroscopy." Nature Scientific Reports 9, no. 1 (2019): 1-11.

Debs, Noëlie, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, and David Rousseau. "Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke." Computers in Biology and Medicine (2019): 103579.

Sapoukhina, Natalia, Salma Samiei, Pejman Rasti, and David Rousseau. "Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0-0. 2019.

Rasti, Pejman, Ali Ahmad, Salma Samiei, Etienne Belin, and David Rousseau. "Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density." Remote Sensing 11, no. 3 (2019): 249.

Pejman Rasti, Mathilde Giacalone, Noelie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, and David Rousseau. "Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke." Medical image analysis 50 (2018): 117-126.

Salma Samiei, Pejman Rasti, François Chapeau-Blondeau, David Rousseau. Cultivons notre jardin avec Fourier. 27ème Colloque GRETSI sur le Traitement du Signal et des Images, Lille, France., 2019, Lille, France.

Ahmad, Ali, Pejman Rasti, Carole Frindel, David Sarrut, and David Rousseau. "Deep learning based detection of cells in 3D light sheet fluorescence microscopy." In Quantitative BioImaging Conference (QBI 2019). 2019.

Samiei, Salma, Ali Ahmad, Pejman Rasti, and David Rousseau. "New cost and bottleneck in the Era of machine learning-based bioimage analysis." In The 3rd NEUBIAS Conference. 2019.

2018

Pejman Rasti, Mathilde Giacalone, Noelie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, and David Rousseau. "Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke." Medical image analysis 50 (2018): 117-126.

Zondaka, Zane, Madis Harjo, Mahdi Safaei Khorram, Pejman Rasti, Tarmo Tamm, and Rudolf Kiefer. "Polypyrrole/carbide-derived carbon composite in organic electrolyte: Characterization as a linear actuator." Reactive and Functional Polymers 131 (2018): 414-419.

Pejman Rasti, Fatemeh Noroozi, Jelena Gorbova, and Rain Eric Haamer. "Machine Learning for Face, Emotion, and Pain Recognition." In Machine Learning for Face, Emotion, and Pain Recognition, pp. 1-107. International Society for Optics and Photonics, 2018.

Rasti, Pejman, Rosa Huaman, Charlotte Riviere, and David Rousseau. "Supervised machine learning for 3D microscopy without manual annotation: application to spheroids." In Unconventional Optical Imaging, vol. 10677, p. 1067728. International Society for Optics and Photonics, 2018.

Samiei, Salma, Pejman Rasti, Hervé Daniel, Etienne Belin, Paul Richard, and David Rousseau. "Réalité virtuelle et vision par ordinateur au service de la végétalisation des espaces urbains." In 10ème Rencontres du Végétal. 2018.

Samiei, Salma, Pejman Rasti, Ali Ahmad, Paul Richard, Etienne Belin, and David Rousseau. "Eye-tracked annotated data for supervised machine learning." In International Computer Vision Summer School (ICVSS)-Computer Vision after Deep Learning. 2018.

Belin, Etienne, Ali Ahmad, Salma Samiei, Pejman Rasti, Franck Mercier, Rémy Guyonneau, and David Rousseau. "Intégration de données de multiples sources et systèmes robotisés pour le désherbage de cultures maraichères." In 10ème Rencontres du Végétal. 2018.

Samiei, Salma, Ali Ahmad, Pejman Rasti, Etienne Belin, and David Rousseau. "Low-cost image annotation for supervised machine learning. Application to the detection of weeds in dense culture." In Computer Vision Problems in Plant Phenotyping (CVPPP 2018). 2018.

Debs, Noelie, Mathilde Giacalone, Pejman Rasti, Tae-Hee Cho, Carole Frindel, and David Rousseau. "Perfusion MRI in stroke as a regional spatio-temporal texture." In Joint Annual Meeting ISMRM-ESMRMB 2018. 2018.

Samiei, Salma, Pejman Rasti, Hervé Daniel, Etienne Belin, Paul Richard, and David Rousseau. "Toward a computer vision perspective on the visual impact of vegetation in symmetries of urban environments." Symmetry 10, no. 12 (2018): 666.

Rasti, Pejman, Didier Demilly, Landry Benoit, Etienne Belin, Sylvie Ducournau, Francois Chapeau-Blondeau, David Rousseau, and Station Nationale d’Essais de GEVES. "Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support." In BMVC, p. 323. 2018.

Rasti, Pejman, Ali Ahmad, Etienne Belin, and David Rousseau. "Learning on Deep Network without the Hot Air by Scattering Transform Application to Weed Detection in Dense Culture." In 5th edition of the International Workshop on Image Analysis Methods for the Plant Sciences (IAMPS). 2018.

Rasti, Pejman, Etienne Belin, Didier Demilly, Sylvie Ducournau, Carolyne Dürr, François Chapeau-Blondeau, and David Rousseau. "A computer vision tool for a high-throughput phenotyping of seedlings during elongation-Application to sugar beet." In 76th International Institute of Sugar Beet Research Congress. 2018.

2017

Please Find the full list of my Publications here