Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 1 Finished
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Advancing Smart Optical Imaging and Sensing for Health
de With, P. H. N., Zinger, S., Bernas, A., Manni, F., Li, C., van der Sommen, F., Ghazvinian Zanjani, F., Sun, Y. & van der Hagen, D.
1/06/16 → 31/05/19
Project: Research direct
Research output
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Camera-based discomfort detection using multi-channel attention 3D-CNN for hospitalized infants
Sun, Y., Hu, J., Wang, W., He, M. & de With, P. H. N., Jul 2021, In: Quantitative Imaging in Medicine and Surgery. 11, 7, p. 3059-3069 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile14 Downloads (Pure) -
Video-based infant discomfort detection
Sun, Y., 7 Jul 2021, Eindhoven: Technische Universiteit Eindhoven. 159 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile52 Downloads (Pure) -
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs
Sun, Y., Kommers, D., Tan, T., Wang, W., Long, X., Shan, C., van Pul, C., Aarts, R. M., Andriessen, P. & de With, P. H. N., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, Vol. 11314. 8 p. 113144B. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Automatic corneal nerve fiber segmentation and geometric biomarker quantification
Zhang, D., Huang, F., Khansari, M., Berendschot, T. T. J. M., Xu, X., Dashtbozorg, B., Sun, Y., Zhang, J. & Tan, T., 20 Feb 2020, In: European Physical Journal. Plus. 135, 2, 16 p., 266.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Citations (Scopus)55 Downloads (Pure) -
Automatic and continuous discomfort detection for premature infants in a NICU using video-based motion analysis
Sun, Y., Kommers, D., Wang, W., Joshi, R., Shan, C., Tan, T., Aarts, R. M., Pul, C. V., Andriessen, P. & With, P. H. N. D., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 5995-5999 5 p. 8857597Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
12 Citations (Scopus)1 Downloads (Pure)
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Video-based discomfort detection for premature infants
Y. Sun (Speaker), S. Zinger (Member), S. Bambang Oetomo (Member) & P.H.N. de With (Member)
11 Jul 2017 → 13 Jul 2017Activity: Talk or presentation types › Poster presentation › Scientific
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Video-based discomfort detection for premature infants
Yue Sun (Speaker), S. Zinger (Member), S. Bambang Oetomo (Member) & P.H.N. de With (Member)
9 May 2017 → 10 May 2017Activity: Talk or presentation types › Poster presentation › Scientific
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Video-based monitoring and assessing discomfort in premature infants
Yue Sun (Speaker), S. Zinger (Member), S. Bambang Oetomo (Member) & P.H.N. de With (Member)
26 Jan 2017 → 27 Jan 2017Activity: Talk or presentation types › Contributed talk › Scientific