Publications

50 latest publications

[2]
Rolfö, L., Eklund, J. (2019). A proposed methods framework and a pilot intervention for workplace design. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 356-365). Springer.
[3]
Moustaid, E., Kornevs, M., Lindencrona, F. & Meijer, S. (2019). A System of Systems of Mental Health in Cities : Digging Deep into the Origins of Complexity. .
[4]
Ghorbani, M., Svagan, A. J., Grishenkov, D. (2019). Acoustic Response of a Novel Class of Pickering Stabilized Perfluorodroplets. Presented at 24th European symposium on Ultrasound Contrast Imaging.
[5]
Eklund, J. (2019). Application of the HTO Concept for a Powered Pallet Truck. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 482-485). Springer.
[6]
Kornevs, M. (2019). Assessment of Application of Participatory Methods for Complex Adaptive Systems  in the Public Sector (Doctoral thesis , KTH Royal Institute of Technology, Stockholm, Sweden, TRITA-CBH-FOU 2019:5). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-243022.
[7]
Rose, L. M., Österman, C. (2019). Developing an International Master’s Programme in Ergonomics at a Technical University in Sweden. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 429-436). Springer.
[8]
Yang, L., Lu, K., Forsman, M., Lindecrantz, K., Seoane, F., Ekblom, Ö. & Eklund, J. (2019). Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system. Ergonomics.
[9]
Berglund, M., Arman, O. (2019). From Safety I to Safety II : Applying an HTO Perspective on Supervisory Work Within Aviation. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 558-565). Springer.
[11]
Kornevs, M., Baalsrud Hauge, J., Meijer, S. (2019). Gaming Simulation Validation: Matching Participants’ Worldviews with Their Decisions. In ISAGA 2018..
[12]
Li, X., Sandler, H. & Kleiven, S. (2019). Infant skull fractures : Accident or abuse? Evidences from biomechanical analysis using finite element head models. Forensic Science International, 294, 173-182.
[14]
Eklund, J. (2019). Observation Methods in the Context of Interactive Research. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 1845-1849). Springer.
[15]
Chang, F., Östlund, B. (2019). Perspectives of older adults and informal caregivers on information visualization for smart home monitoring systems : A critical review. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 681-690). Springer.
[16]
Rose, L. M., Eklund, J., Nord Nilsson, L. (2019). RAMP – A comprehensive MSD risk management tool. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 537-546). Springer.
[17]
Chen, H., Evangelou, D., Grishenkov, D. (2019). Sequence design for ultrasound imaging of polyvinyl alcohol microbubbles. Presented at 24th European symposium on Ultrasound Contrast Imaging.
[18]
Eklund, J., Forsman, M. (2019). Smart work clothes give better health - Through improved work technique, work organization and production technology. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 515-519). Springer.
[20]
Yang, L., Borgström, D., Forsman, M. (2019). Validation and comparison of three positioning protocols of inertial measurement units for measuring trunk movement. In 20th Congress of the International Ergonomics Association, IEA 2018. (pp. 205-211). Springer.
[21]
Lu, K., Yang, L., Abtahi, F., Lindecrantz, K., Rödby, K., Seoane, F. (2019). Wearable cardiorespiratory monitoring system for unobtrusive free-living energy expenditure tracking. In IFMBE Proceedings. (pp. 433-437). Springer.
[24]
Ormsson, K. A., Persson, H. (2018). A commercial vehicle’s electrical startability. .
[25]
[26]
Zhou, Z., Li, X., Kleiven, S., Shah, C. & Hardy, W. (2018). A reanalysis of experimental brain strain data: implication for finite element head model validation. Stapp Car Crash Journal, 62, 293-318.
[27]
Zhang, C., Grandits, T., Härenstam, K., Hauge, J. & Meijer, S. (2018). A systematic literature review of simulation models for non-technical skill training in healthcare logistics. Advances in Simulation, 1-15.
[29]
Rolfö, L. (2018). Activity-based Flexible Office work environments : Design and implementation processes and outcomes (Doctoral thesis , KTH Royal Institute of Technology, Stockholm, TRITA-CBH-FOU 2018:52). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239417.
[34]
Numanovic, K., Mogren, S. (2018). Applikation för insamling av träningsdata. .
[35]
Skepp, E., Bäckström, T. (2018). "Arbetsskador i svenska sjöfarten åren 2014-2016". .
[36]
Ekenstedt, C., Holmström, G. (2018). Artificiell intelligens och maskinlärning i finansbranschen. .
[37]
Kataria, B., Althen, J. N., Smedby, Ö., Persson, A., Sokjer, H. & Sandborg, M. (2018). Assessment of image quality in abdominal CT : potential dose reduction with model-based iterative reconstruction. European Radiology, 28(6), 2464-2473.
[38]
Mahbod, A., Chowdhury, M., Smedby, Ö. & Wang, C. (2018). Automatic brain segmentation using artificial neural networks with shape context. Pattern Recognition Letters, 101, 74-79.
[39]
[41]
Ejdemark, J. (2018). Automatisk detektering av andning. .
[42]
Zhou, Z., Li, X. & Kleiven, S. (2018). Biomechanics of acute subdural hematoma in the elderly: A fluid-structure interaction study. Journal of Neurotrauma.
[43]
Ahluwalia, A., De Maria, C., Diaz Lantada, A., Madete, J., Makobore, P. N., Ravizza, A. ... Torop, J. (2018). Biomedical Engineering Project Based Learning : Euro-African Design School Focused on Medical Devices. International Journal of Engineering ,Science and Innovative Technology, 34(5), 1709-1722.
[44]
Mahbod, A., Ellinger, I., Ecker, R., Smedby, Ö., Wang, C. (2018). Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion. In 15th International Conference on Image Analysis and Recognition, ICIAR 2018. (pp. 754-762). Springer.
[45]
Kölegård, R., Da Silva, C., Siebenmann, C., Keramidas, M. E. & Eiken, O. (2018). Cardiac performance is influenced by rotational changes of position in the transversal plane, both in the horizontal and 60° head-up postures. Clinical Physiology and Functional Imaging, 38(6), 1021-1028.
[47]
Brusini, I., Carneiro, M., Wang, C., Rubin, C.-J., Ring, H., Afonso, S. ... Andersson, L. (2018). Changes in brain architecture are consistent with altered fear processing in domestic rabbits. Proceedings of the National Academy of Sciences of the United States of America, 115(28), 7380-7385.
[48]
Farsi, Z., Gowrisankaran, S., Krunic, M., Rammner, B., Woehler, A., Lafer, E. M. ... Milosevic, I. (2018). Clathrin coat controls synaptic vesicle acidification by blocking vacuolar ATPase activity. eLIFE, 7.
[49]
Bekius, F., Meijer, S. & de Bruijn, H. (2018). Collaboration patterns in the Dutch railway sector : Using game concepts to compare different outcomes in a unique development case. RESEARCH IN TRANSPORTATION ECONOMICS, 69, 360-368.
[50]
Pavoni, M., Chang, Y., Park, S.-H. & Smedby, Ö. (2018). Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention. Journal of Medical Imaging, 5(2).
Page responsible:Kenneth Carlsson
Belongs to: Department of Biomedical Engineering and Health Systems
Last changed: Jan 17, 2019