Peidi Xu

PhD fellow, PhD student, Assistant lecturer

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2022
Published
Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning
Xu, Peidi, nsv780, nsv780, Gholamalizadeh, T., Nielsen, Michael Bachmann, Erleben, Kenny & Darkner, Sune, 2022, Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022 Held in Conjunction with MICCAI 2022 Singapore, September 22, 2022 Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Medical Image Learning with Limited and Noisy Data, Vol. 13559).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 226561698

31 downloads
A hybrid approach to full-scale reconstruction of renal arterial network
Research output: Contribution to journal › Journal article › Research › peer-review
Published
11 downloads
Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes
Research output: Contribution to journal › Journal article › Research › peer-review
Published
10 downloads
Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published