Daniel Racoceanu

Orcid: 0000-0002-9416-1803

Affiliations:
  • Sorbonne University, Paris, France


According to our database1, Daniel Racoceanu authored at least 70 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression.
CoRR, 2024

2023
Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis.
CoRR, 2023

Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR, 2023

Computational Pathology for Brain Disorders.
CoRR, 2023

2022
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR, 2022

Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Corn Crops Identification Using Multispectral Images from Unmanned Aircraft Systems.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2018
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images.
CoRR, 2018

Efficient deep learning model for mitosis detection using breast histopathology images.
Comput. Medical Imaging Graph., 2018

2017
Gland segmentation in colon histology images: The glas challenge contest.
Medical Image Anal., 2017

Preface.
Comput. Medical Imaging Graph., 2017

Prostate cancer: computer-aided diagnosis on multiparametric MRI.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Tumor angiogenesis assessment using multi-fluorescent scans on murine slices by Markov random field framework.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Semantic knowledge for histopathological image analysis: from ontologies to processing portals and deep learning.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Automated high-grade prostate cancer detection and ranking on whole slide images.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Spatial interaction analysis with graph based mathematical morphology for histopathology.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Neurite Tracing With Object Process.
IEEE Trans. Medical Imaging, 2016

A structure-based approach for colon gland segmentation in digital pathology.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Resource-Centered Distributed Processing of Large Histopathology Images.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

2015
Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology.
Comput. Medical Imaging Graph., 2015

Breakthrough Technologies in Digital Pathology.
Comput. Medical Imaging Graph., 2015

2014
Unsupervised dense crowd detection by multiscale texture analysis.
Pattern Recognit. Lett., 2014

Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology.
Comput. Medical Imaging Graph., 2014

Improved marked point process priors for single neurite tracing.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Spectral band selection for mitosis detection in histopathology.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Statistically Representative Cloud of Particles for Crowd Flow Tracking.
Proceedings of the Pattern Recognition Applications and Methods, 2014

Particle Video for Crowd Flow Tracking - Entry-Exit Area and Dynamic Occlusion Detection.
Proceedings of the ICPRAM 2014, 2014

Reconstructing neuronal morphology from microscopy stacks using fast marching.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology
CoRR, 2013

A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy.
IEEE Trans. Biomed. Eng., 2012

Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis.
Pattern Recognit., 2012

Nuclei extraction from histopathological images using a marked point process approach.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Neurosphere fate prediction: An analysis-synthesis approach for feature extraction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Time-efficient sparse analysis of histopathological whole slide images.
Comput. Medical Imaging Graph., 2011

Consciousness-driven model for visual attention.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Automatic Area Classification in Peripheral Blood Smears.
IEEE Trans. Biomed. Eng., 2010

Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography.
Artif. Intell. Medicine, 2010

Parkinson's disease prediction using diffusion-based atlas approach.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis.
Proceedings of the International Joint Conference on Neural Networks, 2010

Support Vector Methods for Sentence Level Machine Translation Evaluation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

An Exploration Scheme for Large Images: Application to Breast Cancer Grading.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Nuclear pleomorphism scoring by selective cell nuclei detection.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Toward translational incremental similarity-based reasoning in breast cancer grading.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A Cellular Neural Network as a Principal Component Analyzer.
Proceedings of the International Joint Conference on Neural Networks, 2009

Emergent Behavior Control Patterns in Robotic Collectives.
Proceedings of the Intelligent Robotics and Applications, Second International Conference, 2009

Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval
CoRR, 2008

Automatic working area classification in peripheral blood smears using spatial distribution features across scales.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Finding Image Structure by Hierarchal Segmentation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
A neuro-fuzzy monitoring system: Application to flexible production systems.
Comput. Ind., 2006

IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006.
Proceedings of the Working Notes for CLEF 2006 Workshop co-located with the 10th European Conference on Digital Libraries (ECDL 2006), 2006

Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL.
Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006

A Semantic Fusion Approach Between Medical Images and Reports Using UMLS.
Proceedings of the Information Retrieval Technology, 2006

Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF.
Proceedings of the Information Retrieval Technology, 2006

2005
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., 2005

2004
Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

2003
Fuzzy Petri nets for monitoring and recovery.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002
Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic.
Rev. d'Intelligence Artif., 2002

Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
A Petri net Graphic Method of Reduction Using Birth-death Processes.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

The RRBF. Dynamic representation of time in radial basis function network.
Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001

1994
Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains: application to the operation safety study.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994


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