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Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|April 22, 2016
Semantic Integrative Digital Pathology: Insights into Microsemiological Semantics and Image Analysis ScalabilityDaniel Racoceanu, Frédérique CapronJournal of Pathology Informatics|June 15, 2013
Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approachHumayun Irshad, Sepehr Jalali, Ludovic Roux, et al.Revue De Pneumologie Clinique|September 6, 2005
[New classification of interstitial lung disease]Frédérique CapronJournal of Pathology Informatics|July 17, 2013
Mitosis detection in breast cancer histological images An ICPR 2012 contestLudovic Roux, Daniel Racoceanu, Nicolas Loménie, et al.Frontiers in Bioengineering and Biotechnology|July 9, 2019
Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer GradingGabriel Jiménez, Daniel RacoceanuScientific Reports|March 19, 2024
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studiesMehdi Ounissi, Morwena Latouche, Daniel RacoceanuComputerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 8, 2018
Efficient deep learning model for mitosis detection using breast histopathology imagesMonjoy Saha, Chandan Chakraborty, Daniel RacoceanuAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathologyHumayun Irshad, Ludovic Roux, Daniel RacoceanuStudies in Health Technology and Informatics|April 21, 2017
Bridging the Semantic Gap Between Diagnostic Histopathology and Image AnalysisLamine Traore, Yannick Kergosien, Daniel RacoceanuPageof 8