Daniel Racoceanu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 24

Top Topics

Prostate Cancer

Histopathological Images

Top Venues

Comput. Medical Imaging Graph.

Medical Imaging: Digital Pathology

Publications

Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, Christine Martinez-Vinson, Dominique Berrebi, Daniel Racoceanu
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images. CoRR (2024)
Xiang Liu, Wanming Hu, Songhui Diao, Deboch Eyob Abera, Daniel Racoceanu, Wenjian Qin
Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images. Comput. Methods Programs Biomed. 248 (2024)
Leopold Hebert-Stevens, Gabriel Jimenez, Benoit Delatour, Lev Stimmer, Daniel Racoceanu
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression. CoRR (2024)
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images. CoRR (2023)
Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu
Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis. CoRR (2023)
Gabriel Jimenez, Daniel Racoceanu
Computational Pathology for Brain Disorders. CoRR (2023)
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. CoRR (2023)
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images. MICCAI (2) (2022)
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR (2022)
Fedra Trujillano, Jessenia Gonzalez, Carlos Saito, Andres Flores, Daniel Racoceanu
Corn Crops Identification Using Multispectral Images from Unmanned Aircraft Systems. IGARSS (2021)
Monjoy Saha, Chandan Chakraborty, Daniel Racoceanu
Efficient deep learning model for mitosis detection using breast histopathology images. Comput. Medical Imaging Graph. 64 (2018)
Chao-Hui Huang, Daniel Racoceanu
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images. CoRR (2018)
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35 (2017)
Laura Marin, Daniel Racoceanu, Raphaele Renard Penna, Malek Ezziane
Prostate cancer: computer-aided diagnosis on multiparametric MRI. SIPAIM (2017)
Daniel Racoceanu, Peter Hufnagl
Preface. Comput. Medical Imaging Graph. 61 (2017)
Oumeima Laifa, Delphine Le Guillou-Buffello, Daniel Racoceanu
Tumor angiogenesis assessment using multi-fluorescent scans on murine slices by Markov random field framework. SIPAIM (2017)
Chao-Hui Huang, Daniel Racoceanu
Automated high-grade prostate cancer detection and ranking on whole slide images. Medical Imaging: Digital Pathology (2017)
Yannick L. Kergosien, Daniel Racoceanu
Semantic knowledge for histopathological image analysis: from ontologies to processing portals and deep learning. SIPAIM (2017)
Bassem Ben Cheikh, Catherine Bor-Angelier, Daniel Racoceanu
A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma. Medical Imaging: Digital Pathology (2017)
Bassem Ben Cheikh, Nicolas Elie, Benoît Plancoulaine, Catherine Bor-Angelier, Daniel Racoceanu
Spatial interaction analysis with graph based mathematical morphology for histopathology. ISBI (2017)
Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu
Neurite Tracing With Object Process. IEEE Trans. Medical Imaging 35 (6) (2016)
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR (2016)
Bassem Ben Cheikh, Philippe Bertheau, Daniel Racoceanu
A structure-based approach for colon gland segmentation in digital pathology. Medical Imaging: Digital Pathology (2016)
Daniel Salas, Jens Gustedt, Daniel Racoceanu, Isabelle Perseil
Resource-Centered Distributed Processing of Large Histopathology Images. CSE/EUC/DCABES (2016)
Daniel Racoceanu, Philippe Belhomme
Breakthrough Technologies in Digital Pathology. Comput. Medical Imaging Graph. 42 (2015)
Daniel Racoceanu, Frédérique Capron
Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology. Comput. Medical Imaging Graph. 42 (2015)
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology. Comput. Medical Imaging Graph. 38 (5) (2014)
Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu
Improved marked point process priors for single neurite tracing. PRNI (2014)
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
Spectral band selection for mitosis detection in histopathology. ISBI (2014)
Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour
Unsupervised dense crowd detection by multiscale texture analysis. Pattern Recognit. Lett. 44 (2014)
Antoine Fagette, Patrick Jamet, Daniel Racoceanu, Jean-Yves Dufour
Particle Video for Crowd Flow Tracking - Entry-Exit Area and Dynamic Occlusion Detection. ICPRAM (2014)
Sreetama Basu, Daniel Racoceanu
Reconstructing neuronal morphology from microscopy stacks using fast marching. ICIP (2014)
Patrick Jamet, Stephen Chai Kheh Chew, Antoine Fagette, Jean-Yves Dufour, Daniel Racoceanu
Statistically Representative Cloud of Particles for Crowd Flow Tracking. ICPRAM (Selected Papers) (2014)
Humayun Irshad, Ludovic Roux, Daniel Racoceanu
Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology. EMBC (2013)
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology CoRR (2013)
Stephane Ulysse Rigaud, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu
An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy. EMBC (2013)
Sreetama Basu, Maria S. Kulikova, Elena A. Zhizhina, Wei Tsang Ooi, Daniel Racoceanu
A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology. MICCAI (1) (2013)
Nicolas Loménie, Daniel Racoceanu
Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis. Pattern Recognit. 45 (8) (2012)
Maria S. Kulikova, Antoine Veillard, Ludovic Roux, Daniel Racoceanu
Nuclei extraction from histopathological images using a marked point process approach. Medical Imaging: Image Processing (2012)
Antoine Veillard, Stéphane Bressan, Daniel Racoceanu
SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry. ICMLA (1) (2012)
Stephane Ulysse Rigaud, Nicolas Loménie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu
Neurosphere fate prediction: An analysis-synthesis approach for feature extraction. IJCNN (2012)
Antoine Veillard, Daniel Racoceanu, Stéphane Bressan
pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods. ICMLA (1) (2012)
Chao-Hui Huang, Shvetha Sankaran, Daniel Racoceanu, Srivats Hariharan, Sohail Ahmed
Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy. IEEE Trans. Biomed. Eng. 59 (7) (2012)
Antoine Veillard, Daniel Racoceanu, Stéphane Bressan
Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation. ICTAI (2011)
Chao-Hui Huang, Antoine Veillard, Ludovic Roux, Nicolas Loménie, Daniel Racoceanu
Time-efficient sparse analysis of histopathological whole slide images. Comput. Medical Imaging Graph. 35 (7-8) (2011)
Pierre Cagnac, Noel Di Noia, Chao-Hui Huang, Daniel Racoceanu, Laurent Chaudron
Consciousness-driven model for visual attention. IJCNN (2011)
Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography. Artif. Intell. Medicine 50 (1) (2010)
Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti
Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. IJCNN (2010)
Roxana Oana Teodorescu, Daniel Racoceanu, Nicolas Smit, Vladimir-Ioan Cretu, Eng King Tan, Ling Ling Chan
Parkinson's disease prediction using diffusion-based atlas approach. Medical Imaging: Computer-Aided Diagnosis (2010)
Antoine Veillard, Nicolas Loménie, Daniel Racoceanu
An Exploration Scheme for Large Images: Application to Breast Cancer Grading. ICPR (2010)
Wei Xiong, Sim Heng Ong, Joo-Hwee Lim, Kelvin W. C. Foong, Jiang Liu, Daniel Racoceanu, Alvin G. L. Chong, Kevin S. W. Tan
Automatic Area Classification in Peripheral Blood Smears. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Antoine Veillard, Elvina Melissa, Cassandra Theodora, Daniel Racoceanu, Stéphane Bressan
Support Vector Methods for Sentence Level Machine Translation Evaluation. ICTAI (2) (2010)
Jean-Romain Dalle, Hao Li, Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu, Thomas C. Putti
Nuclear pleomorphism scoring by selective cell nuclei detection. WACV (2009)
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim, Jiang Liu, Daniel Racoceanu, Kelvin Weng Chiong Foong
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images. BMEI (2009)
Adina Eunice Tutac, Daniel Racoceanu, Wee-Keng Leow, Henning Müller, Thomas C. Putti, Vladimir Cretu
Toward translational incremental similarity-based reasoning in breast cancer grading. Medical Imaging: Computer-Aided Diagnosis (2009)
Razvan-Dorel Cioarga, Mihai V. Micea, Vladimir Cretu, Daniel Racoceanu
Emergent Behavior Control Patterns in Robotic Collectives. ICIRA (2009)
Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu
A Cellular Neural Network as a Principal Component Analyzer. IJCNN (2009)
Roxana Teodorescu, Daniel Racoceanu, Wee Kheng Leow, Vladimir Cretu
Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval CoRR (2008)
Wei Xiong, Sim Heng Ong, Joo-Hwee Lim, Nn Tung, Jiang Liu, Daniel Racoceanu, Kevin S. W. Tan, Alvin G. L. Chong, Kelvin Weng Chiong Foong
Automatic working area classification in peripheral blood smears using spatial distribution features across scales. ICPR (2008)
Adina Eunice Tutac, Daniel Racoceanu, Thomas C. Putti, Wei Xiong, Wee Kheng Leow, Vladimir Cretu
Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images. BMEI (2) (2008)
Bo Qiu, Daniel Racoceanu
Finding Image Structure by Hierarchal Segmentation. ICME (2007)
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Xiong Wei, Daniel Racoceanu, Diem Thi Hoang Le, Roxana Teodorescu, Nicolas Vuillemenot
IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006. CLEF (Working Notes) (2006)
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le, Wei Xiong, Daniel Racoceanu, Roxana Teodorescu, Nicolas Vuillemenot
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL. CLEF (2006)
Daniel Racoceanu, Caroline Lacoste, Roxana Teodorescu, Nicolas Vuillemenot
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS. AIRS (2006)
Bo Qiu, Daniel Racoceanu, Changsheng Xu, Qi Tian
Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF. AIRS (2006)
Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni
Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic. Rev. d'Intelligence Artif. 16 (3) (2002)
Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni
The RRBF. Dynamic representation of time in radial basis function network. ETFA (2) (2001)