Author

Daniel Racoceanu

Centre National de la Recherche ScientifiqueORCID 0000-0002-9416-1803Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:mechanistic / dynamical model· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

Anuradha KariD· 1 shared Béatrice OrsettiiD· 1 shared Benoı̂t DelatouriD· 1 shared Gabriel JiméneziD· 1 shared Janan ArslaniD· 1 shared Laurent Le CamiD· 1 shared Léa IngrassiaiD· 1 shared Lev StimmeriD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Anuradha KarORCID

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2 papers

Recent·Most cited

Cancer BiologyPhysics in Medicine and BiologyPeer-reviewedMay 30, 2024

Deciphering Oxygen Distribution and Hypoxia Profiles in the Tumor Microenvironment: A Data-Driven Mechanistic Modeling Approach

Pawan Kumar, Matthieu Lacroix, P Dupré…·Ovidiu Radulescu

The paper develops a data-driven mechanistic model to quantify hypoxia profiles in tumors using reaction-diffusion equations and vascular data.

8 citations

humanbulk RNA-seq

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 31, 2023

Automated segmentation by deep learning of neuritic plaques and neurofibrillary tangles in brain sections of Alzheimer's Disease Patients

Léa Ingrassia, Susana Boluda, Gabriel Jiménez…·Lev Stimmer

This paper develops a deep learning workflow to automate the segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer's brain sections, achieving high accuracy and consistency across diverse tissue samples.

4 citations

𝕏 PostBluesky