Carré

dr.ir. K. Niu (Kenan)

Assistant Professor
EEMCS-EE-RAM
Carré C3613
k.niu@utwente.nl
+31534896740
Business card

Dr.ir. Kenan Niu is an assistant professor in the Robotics and Mechatronics (RAM) Group at the University of Twente (the Netherlands) since 05. 2022. He obtained a doctoral degree in the field of biomechanical engineering from the University of Twente in 02.2018. His Ph.D. research focus on Ultrasound based motion tracking for tracking real-time knee kinematics. He received the BS and MS degrees in biomedical engineering (both as Cum Laude) from Northeastern University (China) with specialization in medical image processing and surgical navigation in 2011 and 2013, respectively.

From 03.2018 to 01.2019, he worked as a postdoc researcher in imec-Vision Lab for dynamic 4D heart modelling at the University of Antwerp (Belgium). From 02.2019 to 04.2022, He worked as a postdoc researcher at the Robot-Assisted Surgery group (RAS) at KU Leuven (Belgium). His work includes research, development, and management of several European and nationally funded research projects (e.g. FWO-RadarSpine-2022-2024, H2020-FAROS-2021-2024, ICON-DIASTOLE-2018-2019.

Dr. Kenan Niu’s current research interests include robotic imaging and smart sensing, robotic orthopedic surgery, medical image processing, ultrasound imaging, surgical navigation and system integration, computer vision and biomechanical /statistical shape modelling.

Expertise

  • Computer Science

    • Robotics
    • Ultrasound
    • Procedures

  • Medicine and Dentistry

    • Hysteroscopy
    • Bone
    • Measurement
    • Accuracy
    • Cadaver

Organisations

Dr. Kenan Niu’s research interests include robotic imaging and smart sensing, robotic orthopedic surgery, medical image processing, ultrasound imaging, surgical navigation and system integration, computer vision and biomechanical /statistical shape modelling and cognitive architecture. The research ambition is to empower human intelligence into a robotic system. 

Publications

2024
Anatomical Region Recognition and Real-time Bone Tracking Methods by Dynamically Decoding A-Mode Ultrasound Signals. ArXiv.org. Lan, B., Stramigioli, S. & Niu, K.A Method to Track 3D Knee Kinematics by Multi-Channel 3D-Tracked A-Mode Ultrasound, Article 2439. Niu, K., Sluiter, V., Lan, B., Homminga, J., Sprengers, A. & Verdonschot, N.https://doi.org/10.3390/s24082439Deep Learning based acoustic measurement approach for robotic applications on orthopedics. ArXiv.org. Lan, B., Abayazid, M., Verdonschot, N., Stramigioli, S. & Niu, K.A Comparative Study for Control of Semi-Automatic Robotic-Assisted Ultrasound System in Spine SurgeryIn 2023 21st International Conference on Advanced Robotics, ICAR 2023 (pp. 303-310). IEEE. Davoodi, A., Li, R., Cai, Y., Niu, K., Borghesan, G. & Poorten, E. V.https://doi.org/10.1109/ICAR58858.2023.10406449
2023
Physiological Motion Compensation for Neuroscience Research based on Electrical Bio-Impedance Sensing, 25377-25389. Zhang, Y., Verschooten, E., Ourak, M., Van Assche, K., Borghesan, G., Wu, D., Niu, K., Joris, P. X. & Poorten, E. V.https://doi.org/10.1109/JSEN.2023.3307489State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review, Article 8094. Timmermans, M., Massalimova, A., Li, R., Davoodi, A., Goossens, Q., Niu, K., Poorten, E. V., Fürnstahl, P. & Denis, K.https://doi.org/10.3390/s23198094Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study, 1613-1623. Li, R., Davoodi, A., Cai, Y., Niu, K., Borghesan, G., Cavalcanti, N., Massalimova, A., Carrillo, F., Laux, C. J., Farshad, M., Fürnstahl, P. & Poorten, E. V.https://doi.org/10.1007/s11548-023-02932-zDevelopment of Robot-assisted Ultrasound System for Fetoscopic Tracking in Twin to Twin Transfusion Syndrome SurgeryIn 2023 International Symposium on Medical Robotics, ISMR 2023. IEEE. Cai, Y., Davoodi, A., Li, R., Ourak, M., Niu, K., Deprest, J. & Poorten, E. V.https://doi.org/10.1109/ISMR57123.2023.10130208
2022
RL-Based Guidance in Outpatient Hysteroscopy Training: A Feasibility Study. Poliakov, V., Niu, K., Poorten, E. V. & Tsetserukou, D.An Augmented Reality-Based Interaction Scheme for Robotic Pedicle Screw Placement, Article 273. Vörös, V., Li, R., Davoodi, A., Wybaillie, G., Poorten, E. V. & Niu, K.https://doi.org/10.3390/jimaging8100273

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University of Twente

Carré (building no. 15), room C3613
Hallenweg 23
7522 NH Enschede
Netherlands

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