A methodology and clinical dataset with ground-truth to evaluate registration accuracy quantitatively in computer-assisted Laparoscopic Liver Resection - Université Clermont Auvergne
Journal Articles Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Year : 2021

A methodology and clinical dataset with ground-truth to evaluate registration accuracy quantitatively in computer-assisted Laparoscopic Liver Resection

Navid Rabbani Najafabadi
  • Function : Author
  • PersonId : 1136223
Institut Pascal
Lilian Calvet
  • Function : Author
  • PersonId : 1290514
  • IdRef : 179718436
Institut Pascal
Yamid Espinel Lopez
  • Function : Author
  • PersonId : 1135572
Institut Pascal
B Le Roy
  • Function : Author
Mathieu Ribeiro Gomes Pereira
  • Function : Author
Institut Pascal
Emmanuel Buc
  • Function : Author
  • PersonId : 1135574
Institut Pascal
Adrien Bartoli
  • Function : Author
  • PersonId : 1135569
Institut Pascal

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Imaging

Christophe Tournayre  : Connect in order to contact the contributor

https://uca.hal.science/hal-03703703

Submitted on : Friday, June 24, 2022-11:20:53 AM

Last modification on : Friday, January 26, 2024-3:00:52 PM

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hal-03703703 , version 1 (24-06-2022)

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Navid Rabbani Najafabadi, Lilian Calvet, Yamid Espinel Lopez, B Le Roy, Mathieu Ribeiro Gomes Pereira, et al.. A methodology and clinical dataset with ground-truth to evaluate registration accuracy quantitatively in computer-assisted Laparoscopic Liver Resection. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021, 1, pp.1. ⟨10.1080/21681163.2021.1997642⟩. ⟨hal-03703703⟩

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