Melanie Ganz-Benjaminsen

Melanie Ganz-Benjaminsen

Associate Professor - Promotion Programme

ORCID: 0000-0002-9120-8098

Publication year:
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  1. 2023
  2. Published

    On (assessing) the fairness of risk score models

    Petersen, E., Ganz, Melanie, Holm, Sune Hannibal & Feragen, A., 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc., p. 817-829 13 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. 2022
  4. Published

    Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection

    Alzheimer’s Disease Neuroimaging Initiative, A. D. N. I., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference Singapore, September 18–22, 2022 Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer, Vol. Part 1. p. 88-98 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13431 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. 2019
  6. Published

    Multi-view Consensus CNN for 3D Facial Landmark Placement

    Paulsen, R. R., Juhl, K. A., Haspang, T. M., Hansen, T., Ganz, Melanie & Einarsson, G., 2019, Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I. Springer, p. 706-719 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11361 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  7. Published

    Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging

    Nørgaard, M., Ozenne, Brice Maxime Hugues, Svarer, C., Frokjaer, V. G., Schain, M., Strother, S. C. & Ganz, Melanie, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, Vol. 11764. p. 196-204 9 p. (Lecture Notes in Computer Science, Vol. 11767).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  8. 2018
  9. Published

    The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data

    Nørgaard, M., Greve, D. N., Svarer, C., Strother, S. C., Knudsen, Gitte Moos & Ganz, Melanie, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018. IEEE, 4 p. 8423962

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. 2017

  11. Permutation tests for classification: Revisited

    Ganz, Melanie & Konukoglu, E., 14 Jul 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2017. Institute of Electrical and Electronics Engineers Inc.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  12. Permutations Tests for Binary Classification:Revisited

    Ganz, Melanie & Konukoglu, E., 2017, (Accepted/In press) Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. 2015

  14. Estimation of Regional Seasonal Variations in SERT-levels using the FreeSurfer PET pipeline: a reproducibility study

    Nørgaard, M., Ganz, Melanie, Svarer, C., Beliveau, V., Fisher, Patrick Mac Donald, McMahon, B., Greve, D. N., Strother, S. C. & Knudsen, Gitte Moos, 2015, Proceedings of the MICCAI workshop on Computational Methods for Molecular Imaging 2015.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  15. 2013
  16. Published

    An improved optimization method for the relevance voxel machine

    Ganz, Melanie, Sabuncu, M. R. & Van Leemput, K., 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 147-154 8 p. (Lecture notes in computer science, Vol. 8184).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  17. On feature relevance in image-based prediction models: an empirical study

    Konukoglu, E., Ganz, Melanie, Van Leemput, K. & Sabuncu, M. R., 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer Publishing Company, p. 171-178 8 p. (Lecture notes in computer science, Vol. 8184).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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