Kenny Erleben

Kenny Erleben

Professor

ORCID: 0000-0001-6808-4747

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  1. Udgivet

    Area and volume restoration in elastically deformable solids

    Kelager, M., Fleron, A. & Erleben, Kenny, 1 jan. 2009, Progress In Computer Vision And Image Analysis. World Scientific Publishing Co., s. 381-400 20 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

  2. Udgivet

    A triangle bending constraint model for position-based dynamics

    Kelager, M., Abel, S. M. N. & Erleben, Kenny, 2010, Workshop in Virtual Reality Interactions and Physical Simulation "VRIPHYS" (2010). Erleben, K., Bender, J. & Teschner, M. (red.). Eurographics Association, s. 31-37 7 s.

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

  3. Udgivet

    Area and Volume Restoration in Elastically Deformable Solids

    Kelager, M., Fleron, A. & Erleben, Kenny, 2005, I: Electronic Letters on Compuer Vision and Image Analysis (ELCVIA). 5, 3, s. 32-43

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  4. 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

  5. Udgivet

    Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny & Darkner, Sune, 2021, Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Cetin-Karayumak, S., Christiaens, D., Figini, M., Guevara, P., Gyori, N., Nath, V. & Pieciak, T. (red.). Springer, s. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13006 LNCS).

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

  6. Udgivet

    Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

    Liu, Renfei, Lauze, Francois Bernard, Erleben, Kenny, Berg, Rune W. & Darkner, Sune, 2022, I: Journal of Medical Imaging. 9, 6, 14 s., 064002.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  7. Udgivet

    SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation

    Liu, Renfei, Lauze, Francois Bernard, Bekkers, E. J., Erleben, Kenny & Darkner, Sune, 2023, Research Square, 32 s.

    Publikation: Working paper › Preprint › Forskning

  8. 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

  9. 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

  10. Udgivet

    Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation

    Lyu, F., Ye, M., Carlsen, J. F., Erleben, Kenny, Darkner, Sune & Yuen, P. C., 2023, I: IEEE Transactions on Medical Imaging. 42, 3, s. 797-809

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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