Detection and characterization of pancreatic lesions with 3D CT data using an automated deep learning-based solution

Segbedji Goubalan, Angelo Della Corte, Valerie Laurent, Mathieu De Craene, Olivier Nempont, Artem Lobantsev, Alexandre Popoff, Mathieu Bouyrie, Agnès Rode, Théodore Aouad, Paul Levant, Nina Brillat-Savarin, Pénélope Gaillot, Christine Hoeffel, Eric Frampas, Maxime Barat, Roberta Russo, Mathilde Wagner, Magaly Zappa, Olivier Ernst, Anais Delagnes, Quentin Fillias, Lama Dawi, Céline Savoye-Collet, Pauline Copin, Paul Calame, Edouard Reizine, Alain Luciani, Marie-France Bellin, Hugues Talbot, Nathalie Lassau, Loïc Boussel

Open source

DOI: 10.1016/j.ejrad.2026.113093
Published: 2026-11
Container: European Journal of Radiology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ejrad.2026.113093,
  title = {Detection and characterization of pancreatic lesions with 3D CT data using an automated deep learning-based solution},
  author = {Segbedji Goubalan and Angelo Della Corte and Valerie Laurent and Mathieu De Craene and Olivier Nempont and Artem Lobantsev and Alexandre Popoff and Mathieu Bouyrie and Agnès Rode and Théodore Aouad and Paul Levant and Nina Brillat-Savarin and Pénélope Gaillot and Christine Hoeffel and Eric Frampas and Maxime Barat and Roberta Russo and Mathilde Wagner and Magaly Zappa and Olivier Ernst and Anais Delagnes and Quentin Fillias and Lama Dawi and Céline Savoye-Collet and Pauline Copin and Paul Calame and Edouard Reizine and Alain Luciani and Marie-France Bellin and Hugues Talbot and Nathalie Lassau and Loïc Boussel},
  year = {2026},
  journal = {European Journal of Radiology},
  doi = {10.1016/j.ejrad.2026.113093},
  url = {https://doi.org/10.1016/j.ejrad.2026.113093}
}

RIS

TY  - JOUR
TI  - Detection and characterization of pancreatic lesions with 3D CT data using an automated deep learning-based solution
AU  - Segbedji Goubalan
AU  - Angelo Della Corte
AU  - Valerie Laurent
AU  - Mathieu De Craene
AU  - Olivier Nempont
AU  - Artem Lobantsev
AU  - Alexandre Popoff
AU  - Mathieu Bouyrie
AU  - Agnès Rode
AU  - Théodore Aouad
AU  - Paul Levant
AU  - Nina Brillat-Savarin
AU  - Pénélope Gaillot
AU  - Christine Hoeffel
AU  - Eric Frampas
AU  - Maxime Barat
AU  - Roberta Russo
AU  - Mathilde Wagner
AU  - Magaly Zappa
AU  - Olivier Ernst
AU  - Anais Delagnes
AU  - Quentin Fillias
AU  - Lama Dawi
AU  - Céline Savoye-Collet
AU  - Pauline Copin
AU  - Paul Calame
AU  - Edouard Reizine
AU  - Alain Luciani
AU  - Marie-France Bellin
AU  - Hugues Talbot
AU  - Nathalie Lassau
AU  - Loïc Boussel
PY  - 2026
JO  - European Journal of Radiology
DO  - 10.1016/j.ejrad.2026.113093
UR  - https://doi.org/10.1016/j.ejrad.2026.113093
ER  -

APA

Goubalan, S., Corte, A. D., Laurent, V., Craene, M. D., Nempont, O., Lobantsev, A., Popoff, A., Bouyrie, M., Rode, A., Aouad, T., Levant, P., Brillat-Savarin, N., Gaillot, P., Hoeffel, C., Frampas, E., Barat, M., Russo, R., Wagner, M., Zappa, M., Ernst, O., Delagnes, A., Fillias, Q., Dawi, L., Savoye-Collet, C., Copin, P., Calame, P., Reizine, E., Luciani, A., Bellin, M., Talbot, H., Lassau, N., & Boussel, L. (2026). Detection and characterization of pancreatic lesions with 3D CT data using an automated deep learning-based solution. European Journal of Radiology. https://doi.org/10.1016/j.ejrad.2026.113093

Source records

crossref · retrieved 2026-09-26T08:14:07.559Z