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The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|
June 9, 2020
Intraoperative surgery room management: A deep learning perspective
Leonardo Tanzi, Pietro Piazzolla, Enrico Vezzetti
International Journal of Computer Assisted Radiology and Surgery
|
June 24, 2021
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance
Leonardo Tanzi, Pietro Piazzolla, Francesco Porpiglia, et al.
Journal of Medical Engineering & Technology
|
August 9, 2025
Human respiratory simulation based on 3D modelling - a review
Elena Lucania, Pietro Piazzolla, Michele Bertolini, et al.
Urology
|
June 16, 2022
AUTHOR REPLY
Daniele Amparore, Enrico Checcucci, Pietro Piazzolla, et al.
Computer Methods and Programs in Biomedicine
|
May 11, 2020
3D augmentation of the surgical video stream: Toward a modular approach
Marco Gribaudo, Pietro Piazzolla, Francesco Porpiglia, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|
March 5, 2022
A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery
Erica Padovan, Giorgia Marullo, Leonardo Tanzi, et al.
European Urology
|
April 14, 2019
Three-dimensional Elastic Augmented-reality Robot-assisted Radical Prostatectomy Using Hyperaccuracy Three-dimensional Reconstruction Technology: A Step Further in the Identification of Capsular Involvement
Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al.
Urology
|
January 22, 2022
Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of "Automatic" Overlapping Era
Daniele Amparore, Enrico Checcucci, Pietro Piazzolla, et al.
BJU International
|
September 25, 2018
Augmented-reality robot-assisted radical prostatectomy using hyper-accuracy three-dimensional reconstruction (HA3D™) technology: a radiological and pathological study
Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al.
Minerva Urology and Nephrology
|
September 6, 2019
3D mixed reality holograms for preoperative surgical planning of nephron-sparing surgery: evaluation of surgeons' perception
Enrico Checcucci, Daniele Amparore, Angela Pecoraro, et al.
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Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|
June 9, 2020
Intraoperative surgery room management: A deep learning perspective
Leonardo Tanzi, Pietro Piazzolla, Enrico Vezzetti
International Journal of Computer Assisted Radiology and Surgery
|
June 24, 2021
Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance
Leonardo Tanzi, Pietro Piazzolla, Francesco Porpiglia, et al.
Journal of Medical Engineering & Technology
|
August 9, 2025
Human respiratory simulation based on 3D modelling - a review
Elena Lucania, Pietro Piazzolla, Michele Bertolini, et al.
Urology
|
June 16, 2022
AUTHOR REPLY
Daniele Amparore, Enrico Checcucci, Pietro Piazzolla, et al.
Computer Methods and Programs in Biomedicine
|
May 11, 2020
3D augmentation of the surgical video stream: Toward a modular approach
Marco Gribaudo, Pietro Piazzolla, Francesco Porpiglia, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|
March 5, 2022
A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery
Erica Padovan, Giorgia Marullo, Leonardo Tanzi, et al.
European Urology
|
April 14, 2019
Three-dimensional Elastic Augmented-reality Robot-assisted Radical Prostatectomy Using Hyperaccuracy Three-dimensional Reconstruction Technology: A Step Further in the Identification of Capsular Involvement
Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al.
Urology
|
January 22, 2022
Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of "Automatic" Overlapping Era
Daniele Amparore, Enrico Checcucci, Pietro Piazzolla, et al.
BJU International
|
September 25, 2018
Augmented-reality robot-assisted radical prostatectomy using hyper-accuracy three-dimensional reconstruction (HA3D™) technology: a radiological and pathological study
Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al.
Minerva Urology and Nephrology
|
September 6, 2019
3D mixed reality holograms for preoperative surgical planning of nephron-sparing surgery: evaluation of surgeons' perception
Enrico Checcucci, Daniele Amparore, Angela Pecoraro, et al.
Page
of 2