- document
-
Tuijthoff, G.J.M. (author), Van Sterkenburg, M.N. (author), Sierevelt, I.N. (author), Van Oldenrijk, J. (author), Van Dijk, C.N. (author), Kerkhoffs, G.M.M.J. (author)The demand for high quality care is in contrast to reduced training time for residents to develop arthroscopic skills. Thereto, simulators are introduced to train skills away from the operating room. In our clinic, a physical simulation environment to Practice Arthroscopic Surgical Skills for Perfect Operative Real-life Treatment (PASSPORT) is...journal article 2009
- document
-
Botden, S.M.B.I. (author), De Hingh, I.H.J.T. (author), Jakimowicz, J.J. (author)To be an effective training tool, a laparoscopic simulator has to provide metrics that are meaningful and informative to the trainee. Time, path length and smoothness are often used parameters, but are not very informative on the quality of the performance. This study aims to validate a newly developed assessment method for laparoscopic suturing...journal article 2009
- document
-
Koch, A.D. (author), Buzink, S.N. (author), Heemskerk, J. (author), Botden, S.M.B.I. (author), Veenendaal, R. (author), Jakimowicz, J.J. (author), Schoon, E.J. (author)Objectives The main objectives of this study were to establish expert validity (a convincing realistic representation of colonoscopy according to experts) and construct validity (the ability to discriminate between different levels of expertise) of the Simbionix GI Mentor II virtual reality (VR) simulator for colonoscopy tasks, and to assess the...journal article 2007
- document
- Blom, E.M. (author), Verdaasdonk, E.G.G. (author), Stassen, L.P.S. (author), Stassen, H.G. (author), Wieringa, P.A. (author), Dankelman, J. (author) journal article 2007
- document
- Verdaasdonk, E.G.G. (author), Stassen, L.P.S. (author), Schijven, M.P. (author), Dankelman, J. (author) journal article 2007
- document
-
Botden, S.M.B.I. (author), De Hingh, I.H.J.T. (author), Jakimowicz, J.J. (author)Background: Providing informative feedback and setting goals tends to motivate trainees to practice more extensively. Augmented Reality simulators retain the benefit of realistic haptic feedback and additionally generate objective assessment and informative feedback during the training. This study researched the performance curve of the adapted...journal article 2008
- document
- Buzink, S.N. (author), Koch, A.D. (author), Heemskerk, J. (author), Botden, S.M.B.I. (author), Goossens, R.H.M. (author), De Ridder, H. (author), Schoon, E.J. (author), Jakimowicz, J.J. (author) journal article 2007
- document
- Verdaasdonk, E.G.G. (author), Stassen, L.P.S. (author), Van Wijk, R.P.J. (author), Dankelman, J. (author) journal article 2007
- document
-
Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...journal article 2022
- document
-
He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...journal article 2022
- document
-
Stölzle, Maximilian (author), Miki, Takahiro (author), Gerdes, Levin (author), Azkarate, Martin (author), Hutter, Marco (author)Accurate and complete terrain maps enhance the awareness of autonomous robots and enable safe and optimal path planning. Rocks and topography often create occlusions and lead to missing elevation information in the Digital Elevation Map (DEM). Currently, these occluded areas are either fully avoided during motion planning or the missing...journal article 2022
- document
-
Franci, B. (author), Grammatico, S. (author)Generative adversarial networks (GANs) are a class of generative models with two antagonistic neural networks: a generator and a discriminator. These two neural networks compete against each other through an adversarial process that can be modeled as a stochastic Nash equilibrium problem. Since the associated training process is challenging,...journal article 2023
- document
-
Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...journal article 2022
- document
-
Zhou, Zixia (author), Zu, Xinrui (author), Wang, Yuanyuan (author), Lelieveldt, Boudewijn P.F. (author), Tao, Q. (author)Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value. In this article, we propose to combine deep neural networks (DNN) with mathematics-guided embedding rules for high-dimensional data embedding. We introduce a generic deep embedding network (DEN) framework, which is able to learn a...journal article 2021
- document
-
Akhtar, Syed Adnan (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)We present a learning method to learn the mapping from an input space to an action space, which is particularly suitable when the action is an optimal decision with respect to a certain unknown cost function. We use an inverse optimization approach to retrieve the cost function by introducing a new loss function and a new hypothesis class of...journal article 2022
- document
-
Dai, Pengwen (author), Li, Y. (author), Zhang, Hua (author), Li, Jingzhi (author), Cao, Xiaochun (author)Scene text detection has attracted increasing concerns with the rapid development of deep neural networks in recent years. However, existing scene text detectors may overfit on the public datasets due to the limited training data, or generate inaccurate localization for arbitrary-shape scene texts. This paper presents an arbitrary-shape scene...journal article 2021
- document
-
Xia, Z. (author), Booij, Olaf (author), Manfredi, Marco (author), Kooij, J.F.P. (author)Cross-view matching aims to learn a shared image representation between ground-level images and satellite or aerial images at the same locations. In robotic vehicles, matching a camera image to a database of geo-referenced aerial imagery can serve as a method for self-localization. However, existing work on cross-view matching only aims at...journal article 2021
- document
-
Nowroozi, Ehsan (author), Mohammadi, Mohammadreza (author), Savas, Erkay (author), Mekdad, Yassine (author), Conti, M. (author)In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia security. However, the underlying fragility of CNN structures poses major security problems, making them inappropriate for use in security-oriented applications,...journal article 2023
- document
-
Ashruf, CMA (author)Despite the many product development techniques available today, manufacturers under pressure to reduce time to market while keeping up with stricter regulatory demands are struggling more than ever with their product development processes. Here, I list a selection of problems and challenges frequently encountered in my consulting practice...journal article 2023
- document
-
Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...journal article 2024