40 citations · 180 across the 13 of their papers we have counts for
13 papers
Optimizing Surgical Plans for Parenchyma-Sparing Liver Resections through Contour-Guided Resection and Surface Approximation
Gabriella d'Albenzio, Ruoyan Meng, Davit Aghayan +7
Objective: This study introduces a novel method for defining virtual resections in liver cancer surgery, aimed at enhancing the adaptability of parenchyma-sparing resection (PSR) p…
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis +5
Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Differe…
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment
Abbas Tariverdi, Ulysse Côté-Allard, Kim Mathiassen +4
This work presents a reinforcement learning-based switching control mechanism to autonomously move a ferromagnetic object (representing a milliscale robot) around obstacles within…
Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
Orestis Zachariadis, Andrea Teatini, Nitin Satpute +4
Background and Objective. B-spline interpolation (BSI) is a popular technique in the context of medical imaging due to its adaptability and robustness in 3D object modeling. A fiel…
Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos
Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh +6
Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for aut…
Adaptive Context Encoding Module for Semantic Segmentation
Congcong Wang, Faouzi Alaya Cheikh, Azeddine Beghdadi +1
The object sizes in images are diverse, therefore, capturing multiple scale context information is essential for semantic segmentation. Existing context aggregation methods such as…
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN
Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3
Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does n…
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network
Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item r…
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images
Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3
The field of collaborative robotics and human-robot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configu…
A Smoke Removal Method for Laparoscopic Images
Congcong Wang, Faouzi Alaya Cheikh, Mounir Kaaniche +1
In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces error for the image processing (used in image guided surgery), but also…
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks
Justinas Miseikis, Patrick Knobelreiter, Inka Brijacak +4
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as g…
Multi 3D Camera Mapping for Predictive and Reflexive Robot Manipulator Trajectory Estimation
Justinas Miseikis, Kyrre Glette, Ole Jakob Elle +1
With advancing technologies, robotic manipulators and visual environment sensors are becoming cheaper and more widespread. However, robot control can be still a limiting factor for…
Automatic Calibration of a Robot Manipulator and Multi 3D Camera System
Justinas Miseikis, Kyrre Glette, Ole Jakob Elle +1
With 3D sensing becoming cheaper, environment-aware and visually-guided robot arms capable of safely working in collaboration with humans will become common. However, a reliable ca…