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- 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
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- Verdaasdonk, E.G.G. (author), Stassen, L.P.S. (author), Schijven, M.P. (author), Dankelman, J. (author) journal article 2007
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- 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
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- Verdaasdonk, E.G.G. (author), Stassen, L.P.S. (author), Van Wijk, R.P.J. (author), Dankelman, J. (author) journal article 2007
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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
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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
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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
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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
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Ganni, S. (author), Chmarra, M.K. (author), Goossens, R.H.M. (author), Jakimowicz, J.J. (author)Background: The concept of self-assessment has been widely acclaimed for its role in the professional development cycle and self-regulation. In the field of medical education, self-assessment has been most used to evaluate the cognitive knowledge of students. The complexity of training and evaluation in laparoscopic surgery has previously...journal article 2017
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Ganni, S. (author), Botden, Sanne M.B.I. (author), Chmarra, M.K. (author), Goossens, R.H.M. (author), Jakimowicz, J.J. (author)Background: The use of motion tracking has been proved to provide an objective assessment in surgical skills training. Current systems, however, require the use of additional equipment or specialised laparoscopic instruments and cameras to extract the data. The aim of this study was to determine the possibility of using a software-based...journal article 2018
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Yadati, N.K. (author), Larson, M.A. (author), Liem, C.C.S. (author), Hanjalic, A. (author)In this paper, we focus on event detection over the timeline of a music track. Such technology is motivated by the need for innovative applications such as searching, non-linearaccess and recommendation. Event detection over the timeline requires time-code level labels in order to train machine learning dels. We use timed comments from...journal article 2018
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IJgosse, Wouter M. (author), Leijte, Erik (author), Ganni, S. (author), Luursema, Jan Maarten (author), Francis, Nader K. (author), Jakimowicz, Jack J. (author), Botden, Sanne M.B.I. (author)Background: Laparoscopic suturing can be technically challenging and requires extensive training to achieve competency. To date no specific and objective assessment method for laparoscopic suturing and knot tying is available that can guide training and monitor performance in these complex surgical skills. In this study we aimed to develop a...journal article 2019
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Limbu, B.H. (author), Jarodzka, Halszka (author), Klemke, Roland (author), Specht, M.M. (author)Sensors can monitor physical attributes and record multimodal data in order to provide feedback. The application calligraphy trainer, exploits these affordances in the context of handwriting learning. It records the expert’s handwriting performance to compute an expert model. The application then uses the expert model to provide guidance and...journal article 2019
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Pérez-Dattari, Rodrigo (author), Celemin, Carlos (author), Franzese, G. (author), Ruiz-del-Solar, Javier (author), Kober, J. (author)Current ongoing industry revolution demands more flexible products, including robots in household environments and medium-scale factories. Such robots should be able to adapt to new conditions and environments and be programmed with ease. As an example, let us suppose that there are robot manipulators working on an industrial production line and...journal article 2020
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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
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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
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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
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Yousefi, Sahar (author), Sokooti, Hessam (author), Elmahdy, Mohamed S. (author), Lips, Irene M. (author), Shalmani, Mohammad T.Manzuri (author), Zinkstok, Roel T. (author), Dankers, Frank J.W.M. (author), Staring, M. (author)Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presence of foreign bodies (e.g. feeding tubes). Physicians therefore usually exploit additional...journal article 2021
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Ferreira de Brito, B.F. (author), Everett, Michael (author), How, Jonathan Patrick (author), Alonso-Mora, J. (author)Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the environment conditions are continuously changing. Local trajectory optimization methods, such as model predictive control (MPC), can deal with those changes but require...journal article 2021
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Kulhanek, Jonas (author), Derner, Erik (author), Babuska, R. (author)Visual navigation is essential for many applications in robotics, from manipulation, through mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an elegant map-free approach integrating image processing, localization, and planning in one module, which can be trained and therefore optimized for a given environment....journal article 2021