Peidi Xu

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• 2024

  Locally orderless networks

  Sporring, J., Xu, P., Lu, J., Lauze, F. B. & Darkner, S., 19 jun. 2024, arxiv.org, 12 s.

  Publikation: Working paper › Preprint

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• Virtual Kidney: Full-scale reconstruction and simulation of the renal nephron-vascular network

  Xu, P., 2024, Department of Computer Science, University of Copenhagen. 140 s.

  Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning

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• 2023

  A hybrid approach to full-scale reconstruction of renal arterial network

  Xu, P., Holstein-Rathlou, N-H., Søgaard, S. B., Gundlach, C., Sørensen, C. M., Erleben, K., Sosnovtseva, O. & Darkner, S., 9 maj 2023, I: Scientific Reports. 13, 1, 15 s., 7569.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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  3 Citationer (Scopus)

  64 Downloads (Pure)

• Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes

  Xu, P., Gholamalizadeh, T., Moshfeghifar, F., Darkner, S. & Erleben, K., 2023, I: IEEE Access. 11, s. 102460-102470

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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  2 Citationer (Scopus)

  28 Downloads (Pure)

• Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation

  Xu, P., Lee, B., Sosnovtseva, O., Sørensen, C. M., Erleben, K. & Darkner, S., 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (red.). Springer, s. 191-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14307 LNCS).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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  2 Citationer (Scopus)

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• 2022

  Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

  Xu, P., Moshfeghifar, F., Gholamalizadeh, T., Nielsen, M. B., Erleben, K. & Darkner, S., 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. (red.). Springer Science and Business Media Deutschland GmbH, s. 153-162 10 s. (Medical Image Learning with Limited and Noisy Data, Bind 13559).

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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  2 Citationer (Scopus)

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