Prof. Daniel Racoceanu
Full Professor, R&D manager and scientist at Sorbonne Univ
SPIE Involvement:
Author
Area of Expertise:
Dynamic pattern recognition , Biomedical image analysis , Prior knowledge-modified kernels for machine learning , Symbolic cognitive visual approaches
Profile Summary

As a Professor of Biomedical Image Analysis, Pattern Recognition, Machine/Deep Learning, and Information/Data Analytics at Sorbonne University and Principal Investigator at the Paris Brain Institute within the INRIA "Aramis" team-project, my work focuses on computational histopathology (including integrative approaches), microscopic biomedical image analysis, machine and deep learning, and pattern recognition, with a focus on explainable artificial intelligence.
Before transitioning to academia, I served as Project Manager at General Electric Energy Products – Europe. I became an Associate Professor at the University of Besançon in 1999, along with a Research Fellowship at the FEMTO-ST Institute (CNRS UMR 6174).
From 2009 to 2015, I was a Professor at the National University of Singapore, where I directed the CNRS International Joint Research Unit "IPAL" from 2008 to 2014. I organized the first international digital pathology challenge at ICPR 2012 and a second event on breast cancer histology in 2024. I co-founded the European Society of Digital Integrative Pathology (ESDIP), serving as Vice-President (2016-2018), President (2018-2020), and Advisory Board member (since 2020). I have been actively involved in organizing the European Conference of Digital Pathology (ECDP) since its inception as a biennial, and later, annual event.
At Sorbonne University (formerly Pierre and Marie Curie University), I co-led a research team at the Bioimaging Lab (LIB), co-directed the B.Sc. Minor in Innovation in Public Health, and served on the inaugural Executive Board of the University Institute of Health Engineering. I also held an Exceptional Professorship at the Pontifical Catholic University of Peru (2016-2018), where I successfully chaired MICCAI 2020 in Lima, Peru. From 2018 to 2022, I served on the MICCAI Board of Directors, contributing to the organization of several MICCAI conferences.
Publications (13)

Proceedings Article | 2 April 2024 Paper
Proceedings Volume 12926, 129261H (2024) https://doi.org/10.1117/12.2692286
KEYWORDS: Image segmentation, Education and training, Feature fusion, Deep learning, Medical imaging, Heart, Spleen, Data modeling, Parkinson disease, Fourier transforms

Proceedings Article | 7 April 2023 Poster + Paper
Proceedings Volume 12471, 124711T (2023) https://doi.org/10.1117/12.2657475
KEYWORDS: Brain tissue, Alzheimer disease, Feature extraction, Histopathology

Proceedings Article | 7 April 2023 Poster + Paper
Proceedings Volume 12471, 124711S (2023) https://doi.org/10.1117/12.2657473
KEYWORDS: Tissues, 3D modeling, Image registration, Blood vessels, Image segmentation, Melanoma, Interpolation, Tumors, Cancer

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12039, 1203908 (2022) https://doi.org/10.1117/12.2613154
KEYWORDS: Image segmentation, Proteins, Alzheimer's disease, Brain, Performance modeling, Morphological analysis, Image processing algorithms and systems, Image processing, Image analysis, Data modeling

Proceedings Article | 17 November 2017 Paper
Oumeima Laifa, Delphine Le Guillou-Buffello, Daniel Racoceanu
Proceedings Volume 10572, 1057208 (2017) https://doi.org/10.1117/12.2285924
KEYWORDS: Tumors, Therapeutics, Cell death, Data modeling, Data acquisition, Biomedical optics, Microscopy, Image segmentation

Showing 5 of 13 publications
Conference Committee Involvement (1)
Digital Pathology
10 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States
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