Blar i NTNU Open på forfatter "Perez de Frutos, Javier"
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Assessment and comparison of target registration accuracy in surgical instrument tracking technologies
Teatini, Andrea; Perez de Frutos, Javier; Langø, Thomas; Edwin, Bjørn; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)Image guided surgery systems aim to support surgeons by providing reliable pre-operative and intra-operative imaging of the patient combined with the corresponding tracked instrument location. The image guidance is based ... -
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions
Survarachakan, Shanmugapriya; Prasad, Pravda Jith Ray; Naseem, Rabia; Perez de Frutos, Javier; Kumar, Rahul Prasanna; Langø, Thomas; Alaya Cheikh, Faouzi; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2022)Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using ... -
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
Pedersen, André; Valla, Marit; Bofin, Anna Mary; Perez de Frutos, Javier; Reinertsen, Ingerid; Smistad, Erik (Peer reviewed; Journal article, 2021)Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, ... -
Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery
Teatini, Andrea; Perez de Frutos, Javier; Eigl, Benjamin; Aghayan, Davit; Pelanis, Egidijus; Lai, Marco; Kumar, Rahul Prasanna; Palomar, Rafael; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)Purpose This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery. Material and methods The study was conducted in three ... -
Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform
Perez de Frutos, Javier; Hofstad, Erlend Fagertun; Solberg, Ole Vegard; Tangen, Geir Arne; Lindseth, Frank; Langø, Thomas; Elle, Ole Jacob; Mårvik, Ronald (Journal article; Peer reviewed, 2018)Purpose Test the feasibility of the novel Single Landmark image-to-patient registration method for use in the operating room for future clinical trials. The algorithm is implemented in the open-source platform CustusX, a ... -
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ...