Detalhe da pesquisa
1.
Augmented reality in laparoscopic liver resection evaluated on an ex-vivo animal model with pseudo-tumours.
Surg Endosc
; 36(1): 833-843, 2022 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34734305
2.
SurgAI: deep learning for computerized laparoscopic image understanding in gynaecology.
Surg Endosc
; 34(12): 5377-5383, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31996995
3.
A case series study of augmented reality in laparoscopic liver resection with a deformable preoperative model.
Surg Endosc
; 34(12): 5642-5648, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32691206
4.
Augmented Reality with Diffusion Tensor Imaging and Tractography during Laparoscopic Myomectomies.
J Minim Invasive Gynecol
; 27(4): 973-976, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31765829
5.
Use of Augmented Reality in Gynecologic Surgery to Visualize Adenomyomas.
J Minim Invasive Gynecol
; 26(6): 1177-1180, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30965117
6.
Using multiple images and contours for deformable 3D-2D registration of a preoperative CT in laparoscopic liver surgery.
Int J Comput Assist Radiol Surg
; 17(12): 2211-2219, 2022 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-36253604
7.
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
Med Image Anal
; 70: 101994, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33611053
8.
Combining Visual Cues with Interactions for 3D-2D Registration in Liver Laparoscopy.
Ann Biomed Eng
; 48(6): 1712-1727, 2020 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-32112344
9.
Detecting the occluding contours of the uterus to automatise augmented laparoscopy: score, loss, dataset, evaluation and user study.
Int J Comput Assist Radiol Surg
; 15(7): 1177-1186, 2020 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-32372385
10.
Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data.
IEEE Trans Biomed Eng
; 65(12): 2769-2780, 2018 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-29993424