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International Journal of Computer Assisted Radiology and Surgery|June 1, 2019
An in vivo porcine dataset and evaluation methodology to measure soft-body laparoscopic liver registration accuracy with an extended algorithm that handles collisionsRichard Modrzejewski, Toby Collins, Barbara Seeliger, et al.
Medical Image Analysis|April 4, 2024
Keyhole-aware laparoscopic augmented realityYamid Espinel, Navid Rabbani, Thien Bao Bui, et al.
Annals of Biomedical Engineering|March 1, 2020
Combining Visual Cues with Interactions for 3D-2D Registration in Liver LaparoscopyYamid Espinel, Erol Özgür, Lilian Calvet, et al.
Surgical Endoscopy|July 7, 2025
Improved tumour localisation during minimally invasive liver surgery using augmented reality: a retrospective study with propensity score analysisFlorian Martinet-Kosinski, Bertrand Le Roy, Yamid Espinel Lopez, et al.
Journal of Minimally Invasive Gynecology|January 31, 2023
SurgAI3.8K: A Labeled Dataset of Gynecologic Organs in Laparoscopy with Application to Automatic Augmented Reality Surgical GuidanceSabrina Madad Zadeh, Tom François, Aurélie Comptour, et al.
Healthcare Technology Letters|November 21, 2025
Point-Guided Latent Diffusion Model for Novel View Synthesis in Laparoscopic Liver SurgeryWenzhe Tang, Tao Chen, Yamid Espinel, et al.
Journal of Minimally Invasive Gynecology|November 26, 2019
Augmented Reality with Diffusion Tensor Imaging and Tractography during Laparoscopic MyomectomiesPauline Chauvet, Nicolas Bourdel, Lilian Calvet, et al.
Sensors (Basel, Switzerland)|December 4, 2012
Source localization with acoustic sensor arrays using generative model based fitting with sparse constraintsJose Velasco, Daniel Pizarro, Javier Macias-Guarasa
Surgical Endoscopy|November 4, 2021
Augmented reality in laparoscopic liver resection evaluated on an ex-vivo animal model with pseudo-tumoursMourad Adballah, Yamid Espinel, Lilian Calvet, et al.
Acta Obstetricia Et Gynecologica Scandinavica|July 11, 2026
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognitionAntoine Netter, Fanny Duchateau, Henrique Abrao, et al.
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