Daniel Racoceanu

89 papers A* 5A 2B 9C 2Journal 31Unranked 32
YearRankTypeTitle / Venue / Authors
2026 A* conf
City of Light (COL): A City-Scale, Geo-Anchored Urban Simulator with High-Throughput Multi-Sensor Streams.
AAAI
Ilias Sarbout, Mehdi Ounissi, Théo Cazenave-Coupet, Dan Milea, Daniel Racoceanu
2025 J jnl
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization.
CoRR
Chenxi Zhao, Jianqiang Li, Qing Zhao, Jing Bai, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu, Gabriel Jimenez, Guanghui Fu
2025 J jnl
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg.
CoRR
Jingchen Zou, Jianqiang Li, Gabriel Jimenez, Qing Zhao, Daniel Racoceanu, Matias Cosarinsky, Enzo Ferrante, Guanghui Fu
2025 J jnl
Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images.
PLoS Comput. Biol.
Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, Christine Martinez-Vinson, Dominique Berrebi, Daniel Racoceanu
2024 J jnl
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression.
CoRR
Leopold Hebert-Stevens, Gabriel Jimenez, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2024 J jnl
Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images.
Comput. Methods Programs Biomed.
Xiang Liu, Wanming Hu, Songhui Diao, Deboch Eyob Abera, Daniel Racoceanu, Wenjian Qin
2024 J jnl
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images.
CoRR
Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, Christine Martinez-Vinson, Dominique Berrebi, Daniel Racoceanu
2023 — conf
A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers.
Digital and Computational Pathology
Gabriel Jimenez, Pablo Mas, Anuradha Kar, Julien Peyrache, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2023 J jnl
Computational Pathology for Brain Disorders.
CoRR
Gabriel Jimenez, Daniel Racoceanu
2023 — conf
Efficient 3D reconstruction of whole slide images in melanoma.
Digital and Computational Pathology
J. Arslan, Mehdi Ounissi, H. Luo, M. Lacroix, P. Dupré, P. Kumar, Arran Hodgkinson, S. Dandou, Romain M. Larive, C. Pignodel, L. Le Cam, Ovidiu Radulescu, Daniel Racoceanu
2023 J jnl
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2023 J jnl
Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis.
CoRR
Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu
2023 J jnl
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images.
CoRR
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2022 J jnl
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2022 — conf
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology.
Digital and Computational Pathology
Kristyna Manousková, Valentin Abadie, Mehdi Ounissi, Gabriel Jimenez, Lev Stimmer, Benoît Delatour, Stanley Durrleman, Daniel Racoceanu
2022 — conf
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images.
MICCAI (2)
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2021 C conf
Corn Crops Identification Using Multispectral Images from Unmanned Aircraft Systems.
IGARSS
Fedra Trujillano, Jessenia Gonzalez, Carlos Saito, Andres Flores, Daniel Racoceanu
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I
MICCAI (1)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II
MICCAI (2)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III
MICCAI (3)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV
MICCAI (4)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V
MICCAI (5)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI
MICCAI (6)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII
MICCAI (7)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2019 — ed.
Processing and Analysis of Biomedical Information - First International SIPAIM Workshop, SaMBa 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Revised Selected Papers
SaMBa@MICCAI
Natasha Leporé, Jorge Brieva, Eduardo Romero, Daniel Racoceanu, Leo Joskowicz
2018 J jnl
Efficient deep learning model for mitosis detection using breast histopathology images.
Comput. Medical Imaging Graph.
Monjoy Saha, Chandan Chakraborty, Daniel Racoceanu
2018 J jnl
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images.
CoRR
Chao-Hui Huang, Daniel Racoceanu
2017 — conf
A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma.
Digital Pathology
Bassem Ben Cheikh, Catherine Bor-Angelier, Daniel Racoceanu
2017 — conf
Automated high-grade prostate cancer detection and ranking on whole slide images.
Digital Pathology
Chao-Hui Huang, Daniel Racoceanu
2017 J jnl
Gland segmentation in colon histology images: The glas challenge contest.
Medical Image Anal.
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
2017 J jnl
Preface.
Comput. Medical Imaging Graph.
Daniel Racoceanu, Peter Hufnagl
2017 — conf
Prostate cancer: computer-aided diagnosis on multiparametric MRI.
SIPAIM
Laura Marin, Daniel Racoceanu, Raphaële Renard-Penna, Malek Ezziane
2017 — conf
Semantic knowledge for histopathological image analysis: from ontologies to processing portals and deep learning.
SIPAIM
Yannick L. Kergosien, Daniel Racoceanu
2017 — conf
Spatial interaction analysis with graph based mathematical morphology for histopathology.
ISBI
Bassem Ben Cheikh, Nicolas Elie, Benoît Plancoulaine, Catherine Bor-Angelier, Daniel Racoceanu
2017 — conf
Tumor angiogenesis assessment using multi-fluorescent scans on murine slices by Markov random field framework.
SIPAIM
Oumeima Laifa, Delphine Le Guillou-Buffello, Daniel Racoceanu
2016 — conf
A structure-based approach for colon gland segmentation in digital pathology.
Digital Pathology
Bassem Ben Cheikh, Philippe Bertheau, Daniel Racoceanu
2016 J jnl
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest.
CoRR
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
2016 J jnl
Neurite Tracing With Object Process.
IEEE Trans. Medical Imaging
Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu
2016 — conf
Resource-Centered Distributed Processing of Large Histopathology Images.
CSE/EUC/DCABES
Daniel Salas, Jens Gustedt, Daniel Racoceanu, Isabelle Perseil
2015 J jnl
Breakthrough Technologies in Digital Pathology.
Comput. Medical Imaging Graph.
Daniel Racoceanu, Philippe Belhomme
2015 J jnl
Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology.
Comput. Medical Imaging Graph.
Daniel Racoceanu, Frédérique Capron
2014 — conf
Improved marked point process priors for single neurite tracing.
PRNI
Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu
2014 J jnl
Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology.
Comput. Medical Imaging Graph.
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
2014 C conf
Particle Video for Crowd Flow Tracking - Entry-Exit Area and Dynamic Occlusion Detection.
ICPRAM
Antoine Fagette, Patrick Jamet, Daniel Racoceanu, Jean-Yves Dufour
2014 B conf
Reconstructing neuronal morphology from microscopy stacks using fast marching.
ICIP
Sreetama Basu, Daniel Racoceanu
2014 — conf
Spectral band selection for mitosis detection in histopathology.
ISBI
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
2014 — conf
Statistically Representative Cloud of Particles for Crowd Flow Tracking.
ICPRAM (Selected Papers)
Patrick Jamet, Stephen Chai Kheh Chew, Antoine Fagette, Jean-Yves Dufour, Daniel Racoceanu
2014 J jnl
Unsupervised dense crowd detection by multiscale texture analysis.
Pattern Recognit. Lett.
Antoine Fagette, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour
2013 — conf
A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology.
MICCAI (1)
Sreetama Basu, Maria S. Kulikova, Elena A. Zhizhina, Wei Tsang Ooi, Daniel Racoceanu
2013 — conf
An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy.
EMBC
Stephane Ulysse Rigaud, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu
2013 — conf
Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology.
EMBC
Humayun Irshad, Ludovic Roux, Daniel Racoceanu
2013 J jnl
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology
CoRR
Humayun Irshad, Alexandre Gouaillard, Ludovic Roux, Daniel Racoceanu
2012 B conf
Neurosphere fate prediction: An analysis-synthesis approach for feature extraction.
IJCNN
Stephane Ulysse Rigaud, Nicolas Loménie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu
2012 B conf
Nuclei extraction from histopathological images using a marked point process approach.
Image Processing
Maria S. Kulikova, Antoine Veillard, Ludovic Roux, Daniel Racoceanu
2012 J jnl
Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy.
IEEE Trans. Biomed. Eng.
Chao-Hui Huang, Shvetha Sankaran, Daniel Racoceanu, Srivats Hariharan, Sohail Ahmed
2012 J jnl
Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis.
Pattern Recognit.
Nicolas Loménie, Daniel Racoceanu
2012 — conf
SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry.
ICMLA (1)
Antoine Veillard, Stéphane Bressan, Daniel Racoceanu
2012 — conf
pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods.
ICMLA (1)
Antoine Veillard, Daniel Racoceanu, Stéphane Bressan
2011 B conf
Consciousness-driven model for visual attention.
IJCNN
Pierre Cagnac, Noel Di Noia, Chao-Hui Huang, Daniel Racoceanu, Laurent Chaudron
2011 B conf
Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation.
ICTAI
Antoine Veillard, Daniel Racoceanu, Stéphane Bressan
2011 J jnl
Time-efficient sparse analysis of histopathological whole slide images.
Comput. Medical Imaging Graph.
Chao-Hui Huang, Antoine Veillard, Ludovic Roux, Nicolas Loménie, Daniel Racoceanu
2010 B conf
An Exploration Scheme for Large Images: Application to Breast Cancer Grading.
ICPR
Antoine Veillard, Nicolas Loménie, Daniel Racoceanu
2010 J jnl
Automatic Area Classification in Peripheral Blood Smears.
IEEE Trans. Biomed. Eng.
Wei Xiong, Sim Heng Ong, Joo-Hwee Lim, Kelvin W. C. Foong, Jiang Liu, Daniel Racoceanu, Alvin G. L. Chong, Kevin S. W. Tan
2010 B conf
Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis.
IJCNN
Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti
2010 J jnl
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography.
Artif. Intell. Medicine
Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Müller
2010 — conf
Parkinson's disease prediction using diffusion-based atlas approach.
Computer-Aided Diagnosis
Roxana Oana Teodorescu, Daniel Racoceanu, Nicolas Smit, Vladimir-Ioan Cretu, Eng King Tan, Ling Ling Chan
2010 — conf
Support Vector Methods for Sentence Level Machine Translation Evaluation.
ICTAI (2)
Antoine Veillard, Elvina Melissa, Cassandra Theodora, Daniel Racoceanu, Stéphane Bressan
2009 B conf
A Cellular Neural Network as a Principal Component Analyzer.
IJCNN
Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu
2009 — conf
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images.
BMEI
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim, Jiang Liu, Daniel Racoceanu, Kelvin Weng Chiong Foong
2009 — conf
Emergent Behavior Control Patterns in Robotic Collectives.
ICIRA
Razvan-Dorel Cioarga, Mihai V. Micea, Vladimir Cretu, Daniel Racoceanu
2009 A conf
Nuclear pleomorphism scoring by selective cell nuclei detection.
WACV
Jean-Romain Dalle, Hao Li, Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu, Thomas C. Putti
2009 — conf
Toward translational incremental similarity-based reasoning in breast cancer grading.
Computer-Aided Diagnosis
Adina Eunice Tutac, Daniel Racoceanu, Wee-Keng Leow, Henning Müller, Thomas C. Putti, Vladimir Cretu
2008 B conf
Automatic working area classification in peripheral blood smears using spatial distribution features across scales.
ICPR
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
2008 — conf
Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images.
BMEI (2)
Adina Eunice Tutac, Daniel Racoceanu, Thomas C. Putti, Wei Xiong, Wee Kheng Leow, Vladimir Cretu
2008 J jnl
Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval
CoRR
Roxana Teodorescu, Daniel Racoceanu, Wee Kheng Leow, Vladimir Cretu
2007 A conf
Finding Image Structure by Hierarchal Segmentation.
ICME
Bo Qiu, Daniel Racoceanu
2006 — conf
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS.
AIRS
Daniel Racoceanu, Caroline Lacoste, Roxana Teodorescu, Nicolas Vuillemenot
2006 J jnl
A neuro-fuzzy monitoring system: Application to flexible production systems.
Comput. Ind.
N. Palluat, Daniel Racoceanu, Noureddine Zerhouni
2006 — conf
IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006.
CLEF (Working Notes)
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Xiong Wei, Daniel Racoceanu, Diem Thi Hoang Le, Roxana Teodorescu, Nicolas Vuillemenot
2006 — conf
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL.
CLEF
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Thi Hoang Le, Wei Xiong, Daniel Racoceanu, Roxana Teodorescu, Nicolas Vuillemenot
2006 — conf
Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF.
AIRS
Bo Qiu, Daniel Racoceanu, Changsheng Xu, Qi Tian
2005 J jnl
Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique. Etude comparative de trois réseaux de neurones récurrents.
Rev. d'Intelligence Artif.
N. Palluat, Daniel Racoceanu, Noureddine Zerhouni
2004 — conf
Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets.
RAM
Maxime Monnin, Daniel Racoceanu, Noureddine Zerhouni
2003 A* conf
Fuzzy Petri nets for monitoring and recovery.
ICRA
Daniel Racoceanu, Eugenia Minca, Noureddine Zerhouni
2002 A* conf
Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance.
ICRA
Daniel Racoceanu, Noureddine Zerhouni, Nawal Addouche
2002 J jnl
Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic.
Rev. d'Intelligence Artif.
Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni
2001 A* conf
A Petri net Graphic Method of Reduction Using Birth-death Processes.
ICRA
Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni
2001 — conf
The RRBF. Dynamic representation of time in radial basis function network.
ETFA (2)
Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni
1994 A* conf
Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains: application to the operation safety study.
ICRA
Daniel Racoceanu, Abdellah El Moudni, Michel Ferney, Said Noureddine Zerhouni