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Author Details
Full Name
Daniel Racoceanu
Affiliation
Sorbonne Universite, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inserm
ORCID
Career Start Year
2008
Papers
30
H Index
14
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36757686
Deep Learning Using Images of the Retina for Assessment of Severity of Neurological Dysfunction in Parkinson Disease.
JAMA Ophthalmol
2023
34829514
Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP).
Diagnostics (Basel)
2021
31281813
Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading.
Front Bioeng Biotechnol
2019
29409716
Efficient deep learning model for mitosis detection using breast histopathology images.
Comput Med Imaging Graph
2018
27614792
Gland segmentation in colon histology images: The glas challenge contest.
Med Image Anal
2017
28330587
Comparison of semi-automated and manual methods to measure the volume of prostate cancer on magnetic resonance imaging.
Diagn Interv Imaging
2017
28423830
Bridging the Semantic Gap Between Diagnostic Histopathology and Image Analysis.
Stud Health Technol Inform
2017
29234806
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
JAMA
2017
29127995
Preface.
Comput Med Imaging Graph
2017
29218067
Perceived Age and Life Style. The Specific Contributions of Seven Factors Involved in Health and Beauty.
Maedica (Bucur)
2017
27100713
Semantic Integrative Digital Pathology: Insights into Microsemiological Semantics and Image Analysis Scalability.
Pathobiology
2016
26742129
Neurite Tracing With Object Process.
IEEE Trans Med Imaging
2016
25442055
Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.
Comput Med Imaging Graph
2015
25791382
Breakthrough technologies in digital pathology.
Comput Med Imaging Graph
2015
24831181
Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology.
Comput Med Imaging Graph
2014
24802905
Methods for nuclei detection, segmentation, and classification in digital histopathology: a review-current status and future potential.
IEEE Rev Biomed Eng
2014
23766934
Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach.
J Pathol Inform
2013
24505691
A stochastic model for automatic extraction of 3D neuronal morphology.
Med Image Comput Comput Assist Interv
2013
24111129
Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology.
Annu Int Conf IEEE Eng Med Biol Soc
2013
24110606
An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy.
Annu Int Conf IEEE Eng Med Biol Soc
2013
23858383
Mitosis detection in breast cancer histological images An ICPR 2012 contest.
J Pathol Inform
2013
22677914
New trends to support independence in persons with mild dementia: a mini-review.
Gerontology
2012
22510943
Online 3-D tracking of suspension living cells imaged with phase-contrast microscopy.
IEEE Trans Biomed Eng
2012
21145705
Time-efficient sparse analysis of histopathological whole slide images.
Comput Med Imaging Graph
2011
20199933
Automatic area classification in peripheral blood smears.
IEEE Trans Biomed Eng
2010
20547044
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography.
Artif Intell Med
2010
19965006
A cognitive virtual microscopic framework for knowledge-based exploration of large microscopic images in breast cancer histopathology.
Annu Int Conf IEEE Eng Med Biol Soc
2009
18827457
Ontology for FMRI as a biomedical informatics method.
Magn Reson Med Sci
2008
19163350
Automatic breast cancer grading of histopathological images.
Annu Int Conf IEEE Eng Med Biol Soc
2008
19163607
Automatic working area classification in peripheral blood smears without cell central zone extraction.
Annu Int Conf IEEE Eng Med Biol Soc
2008
1 - 30 of 30
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University of Castilla-La Mancha
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