Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Augmented Reality (AR) is considered to be a promising technology for the guidance of
laparoscopic liver surgery. By overlaying pre-operative 3D information of the liver and …

Recently, artificial intelligence (AI) has been applied in various fields due to the
development of new learning methods, such as deep learning, and the marked progress in …

Abstract Purpose. Augmented Reality (AR) in Laparoscopic Liver Resection requires
anatomical landmarks and the silhouette to be found on the laparoscopic image. They are …

A liver surgeon's knowledge of anatomy is critical. Due to the patient's small field of vision,
patient specific, complex nerve system, and other factors, even a minor loss can result in …

Obtaining feedback from time-constrained end-users is a major challenge in evaluating
novel systems for specialised applications. The performance and feedback of engineers and …

We propose the patient-specific Liver Mesh Recovery (LMR) framework, to automatically
achieve Augmented Reality (AR) guidance by registering a preoperative 3D model in …

Shape registration of patient-specific organ shapes to endoscopic camera images is
expected to be a key to realizing image-guided surgery, and a variety of applications of …

Retrograde intrarenal surgery (RIRS) is a widely utilized diagnostic and therapeutic tool for
multiple upper urinary tract pathologies. The image‐guided navigation system can assist the …

Estimating a registration between intra-operative data and a pre-operative scan is a key step
to enable image guidance, and is particularly challenging in the laparoscopic approach due …