Kenny Erleben

Kenny Erleben

Professor

ORCID: 0000-0001-6808-4747

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  1. 2023
  2. Udgivet

    cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis

    Lu, J., Yin, C., Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, (Proceedings - International Symposium on Biomedical Imaging, Bind 2023-April).

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

  3. Udgivet

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

    Xu, Peidi, Lee, B., Sosnovtseva, Olga, Sørensen, Charlotte Mehlin, Erleben, Kenny & Darkner, Sune, 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 › fagfællebedømt

  4. 2022
  5. Udgivet

    Group Convolutional Neural Networks for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J. & Erleben, Kenny, 2022, I: Proceedings of Machine Learning Research. 2022, 1, s. 1-11

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning

  6. Udgivet

    Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

    Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (red.). Springer, s. 33-43 (Lecture Notes in Computer Science, Bind 13611).

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

  7. Udgivet

    Fast Vortex Particle Method for Fluid-Character Interaction

    Meldgaard, A., Darkner, Sune & Erleben, Kenny, 2022, I: OpenReview.net. 2022, 7 s.

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning

  8. Udgivet

    Fast Vortex Particle Method for Fluid-Character Interaction

    Meldgaard, A., Erleben, Kenny & Darkner, Sune, 2022, I: Proceedings - Graphics Interface. 2022-May, 10.

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  9. Udgivet

    A Direct Geometry Processing Cartilage Generation Method Using Segmented Bone Models from Datasets with Poor Cartilage Visibility

    nsv780, nsv780, Nielsen, M. K., Tascon Vidarte, J. D., Darkner, Sune & Erleben, Kenny, 2022, Computational Biomechanics for Medicine: Towards Translation and Better Patient Outcomes. Springer, s. 155.169

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

  10. Udgivet

    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. (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 › fagfællebedømt

  11. 2021
  12. Udgivet

    Contact and friction simulation for computer graphics

    Andrews, S. & Erleben, Kenny, 2021, SIGGRAPH '21: ACM SIGGRAPH 2021 Courses, Proceedings. Association for Computing Machinery, s. 1-124 2

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

  13. Udgivet

    ∇Sim: DIFFERENTIABLE SIMULATION FOR SYSTEM IDENTIFICATION AND VISUOMOTOR CONTROL https://gradsim.github.io

    Jatavallabhula, K. M., Macklin, M., Golemo, F., Voleti, V., Petrini, L., Weiss, M., Considine, B., Parent-Lévesque, J., Xie, K., Erleben, Kenny, Paull, L., Shkurti, F., Nowrouzezahrai, D. & Fidler, S., 2021.

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

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ID: 6466