Melanie Ganz-Benjaminsen

Melanie Ganz-Benjaminsen

Associate Professor - Promotion Programme


  1. 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 proceedingBook chapterResearchpeer-review

  2. E-pub ahead of print

    Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features

    Dörfel, Ruben Paul, Arenas-Gomez, J. M., Svarer, C., Ganz, Melanie, Knudsen, Gitte Moos, Svensson, J. E. & Plavén-Sigray, P., 2024, (E-pub ahead of print) In: GeroScience.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    NeuroPharm study: EEG wakefulness regulation as a biomarker in MDD

    Ip, C. T., Ganz, Melanie, Dam, V. H., Ozenne, Brice Maxime Hugues, Rüesch, A., Köhler-Forsberg, K., Jørgensen, Martin Balslev, Frøkjær, Vibe Gedsø, Søgaard, B., Christensen, S. R., Knudsen, Gitte Moos & Olbrich, S., 2021, In: Journal of Psychiatric Research. 141, p. 57-65 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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 proceedingArticle in proceedingsResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Open and reproducible neuroimaging: from study inception to publication

    Niso, G., Botvinik-Nezer, R., Appelhoff, S., Vega, A. D. L., Esteban, O., Etzel, J. A., Finc, K., Ganz, M., Gau, R., Halchenko, Y. O., Herholz, P., Karakuzu, A., Keator, D. B., Markiewicz, C. J., Maumet, C., Pernet, C. R., Pestilli, F., Queder, N., Schmitt, T., Sójka, W. & 3 others, Wagner, A. S., Whitaker, K. J. & Rieger, J. W., 2022, In: NeuroImage. 263, 19 p., 119623.

    Research output: Contribution to journalReviewResearchpeer-review

  7. Published

    Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [11C]DASB PET study

    Nørgaard, M., Ganz, Melanie, Svarer, C., Frokjaer, V. G., Greve, D. N., Strother, S. C. & Knudsen, Gitte Moos, 2019, In: NeuroImage. 199, p. 466-479 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

    Nørgaard, M., Matheson, G. J., Hansen, H. D., Thomas, A., Searle, G., Rizzo, G., Veronese, M., Giacomel, A., Yaqub, M., Tonietto, M., Funck, T., Gillman, A., Boniface, H., Routier, A., Dalenberg, J. R., Betthauser, T., Feingold, F., Markiewicz, C. J., Gorgolewski, K. J., Blair, R. W. & 12 others, Appelhoff, S., Gau, R., Salo, T., Niso, G., Pernet, C., Phillips, C., Oostenveld, R., Gallezot, J., Carson, R. E., Knudsen, Gitte Moos, Innis, R. B. & Ganz, Melanie, 2021, 8 p. (bioRxiv).

    Research output: Working paperPreprintResearch

  9. Published

    PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

    Norgaard, M., Matheson, G. J., Hansen, H. D., Thomas, A., Searle, G., Rizzo, G., Veronese, M., Giacomel, A., Yaqub, M., Tonietto, M., Funck, T., Gillman, A., Boniface, H., Routier, A., Dalenberg, J. R., Betthauser, T., Feingold, F., Markiewicz, C. J., Gorgolewski, K. J., Blair, R. W. & 12 others, Appelhoff, S., Gau, R., Salo, T., Niso, G., Pernet, Cyril Raymond, Phillips, C., Oostenveld, R., Gallezot, J., Carson, R. E., Knudsen, Gitte Moos, Innis, R. B. & Ganz, Melanie, 2022, In: Scientific Data. 9, 1, p. 1-7 65.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Patch-based generative shape model and MDL model selection for statistical analysis of archipelagos

    Ganz, Melanie, Nielsen, Mads & Brandt, S., 2010, Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Wang, F., Yan, P., Suzuki, K. & Shen, D. (eds.). Springer, p. 34-41 8 p. (Lecture notes in computer science, Vol. 6357).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  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 proceedingBook chapterResearchpeer-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 proceedingArticle in proceedingsResearchpeer-review

  13. Published

    Postprocessing of MRIs Using FreeSurfer in Epilepsy Surgery Patients Provides an Excellent Imaging Marker of Hippocampal Sclerosis but Fails to Separate Subtypes

    Kloster, A. G., Opheim, G., Alfstad, K., Larsen, K. B., Niehusmann, P., Holm, E., Fink-Jensen, P., Lund, Eva Løbner, Jespersen, B., Ivanovic, J., Rubboli, Guido, Madsen, C. G., Marthinsen, P. B., Ganz, Melanie, Lossius, M. & Pinborg, Lars Hageman, 2023, In: Acta Neurologica Scandinavica. 2023, 10 p., 2366355.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    Pre-intervention test-retest reliability of EEG and ERP over four recording intervals

    Ip, C., Ganz, Melanie, Ozenne, Brice Maxime Hugues, Sluth, L. B., Gram, M., Viardot, G., l'Hostis, P., Danjou, P., Knudsen, Gitte Moos & Christensen, S. R., 1 Dec 2018, In: International Journal of Psychophysiology. 134, p. 30-43

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Published

    Precision medicine in the treatment of first-episode depression - establishing the BrainDrugs-Depression Cohort

    Jensen, K. R., Dam, V. H., Ganz, Melanie, Fisher, P. M., Osler, M., Frøkjær, Vibe Gedsø, Knudsen, Gitte Moos & Jørgensen, Martin Balslev, 2021, In: European Neuropsychopharmacology. 53, p. S416-S417

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  16. Published
  17. Published

    Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages

    Dörfel, R. P., Arenas-Gomez, J. M., Fisher, Patrick Mac Donald, Ganz, Melanie, Knudsen, Gitte Moos, Svensson, J. E. & Plavén-Sigray, P., 2023, In: Human Brain Mapping. 44, 17, p. 6139-6148

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. 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 proceedingBook chapterResearchpeer-review

  19. Published

    Pretreatment qEEG biomarkers for predicting pharmacological treatment outcome in major depressive disorder: Independent validation from the NeuroPharm study

    Ip, C. T., Olbrich, S., Ganz, Melanie, Ozenne, Brice Maxime Hugues, Köhler-Forsberg, K., Dam, V. H., Beniczky, S., Jørgensen, Martin Balslev, Frøkjær, Vibe Gedsø, Søgaard, B., Christensen, S. R. & Knudsen, Gitte Moos, Aug 2021, In: European Neuropsychopharmacology. 49, p. 101-112 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects

    Olsen, A. S., Lykkebo-Valløe, A., Ozenne, Brice Maxime Hugues, Madsen, M. K., Stenbæk, Dea Siggaard, Armand, Sophia, Mørup, M., Ganz, Melanie, Knudsen, Gitte Moos & Fisher, P. M., 2022, In: NeuroImage. 264, 12 p., 119716.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Relevant feature set estimation with a knock-out strategy and random forests

    Ganz, Melanie, Greve, D. N., Fischl, B. & Konukoglu, E., 2015, In: NeuroImage. 122

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. Published

    Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge

    and the Grand Challenge Participants#, A. T. G. C. P., Oct 2021, In: Journal of Cerebral Blood Flow and Metabolism. 41, 10, p. 2778-2796 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  23. Published

    Reward processing in major depressive disorder and prediction of treatment response – Neuropharm study

    Brandt, Ida Marie, Köhler-Forsberg, K., Ganz, Melanie, Ozenne, Brice Maxime Hugues, Jørgensen, Martin Balslev, Poulsen, A., Knudsen, Gitte Moos, Frøkjær, Vibe Gedsø & Fisher, P. M., 2021, In: European Neuropsychopharmacology. 44, p. 23-33 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. Serotonin 2A receptor agonist binding in the human brain with [11C]Cimbi-36: test-retest reproducibility and comparison with [18F]altanserin

    Ettrup, A., Svarer, C., McMahon, B., da Cunha-Bang, S., Lehel, S., Møller, K., Dyssegaard, A., Ganz, Melanie, Beliveau, V., Jørgensen, L. M., Gillings, N. & Knudsen, Gitte Moos, 2015.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  25. Published

    Superior assessment of CVD death by MACD index compared with the framingham score is highly associated with predisposition to diabetes

    Soltyskinska, E., Barascuk, N., Ganz, Melanie, Nielsen, Mads, Karsdal, M. & Christiansen, C., 2008. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  26. 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 proceedingArticle in proceedingsResearchpeer-review

  27. Published

    The braindrugs-epilepsy cohort - precision medicine in the treatment of epilepsy

    Marstrand-Joergensen, M. R., Dam, V. N. H., Vinter, K., Andersen, N. B., Ip, C. T., Høi-Hansen, Christina Engel, Born, A. P., Ozenne, Brice Maxime Hugues, Ganz, Melanie, Jørgensen, Martin Balslev, Hansen, Adam Espe, Beniczky, S., Frøkjær, Vibe Gedsø, Fisher, P. M., Ryvlin, P., Knudsen, Gitte Moos & Pinborg, Lars Hageman, 2021, In: European Neuropsychopharmacology. 53, p. S39-S40 2 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  28. Published

    The improved relevance voxel machine

    Ganz, Melanie, Sabuncu, M. & Leemput, K. V., 2013, Technical University of Denmark. 19 p. (DTU Compute Technical Report, Vol. 2013-10).

    Research output: Book/ReportReportResearch

  29. Published

    The path toward equal performance in medical machine learning

    Petersen, E., Holm, Sune Hannibal, Ganz, Melanie & Feragen, A., 2023, In: Patterns. 4, 7, 9 p., 100790.

    Research output: Contribution to journalJournal articleResearchpeer-review

  30. Published

    The structure of the serotonin system: a PET imaging study

    Beliveau, V., Ozenne, Brice Maxime Hugues, Strother, S., Greve, D. N., Svarer, C., Knudsen, Gitte Moos & Ganz, Melanie, 2019, In: Journal of Cerebral Blood Flow and Metabolism. 39, p. 614-615 2 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  31. Published

    The structure of the serotonin system: A PET imaging study

    Beliveau, V., Ozenne, Brice Maxime Hugues, Strother, S., Greve, D. N., Svarer, C., Knudsen, Gitte Moos & Ganz, Melanie, 2020, In: NeuroImage. 205, 116240.

    Research output: Contribution to journalJournal articleResearchpeer-review

  32. Vermis - to exclude or not exclude? Defining a proper reference region for PET modelling of the serotonin system

    Ganz, Melanie, Hansen, H. D., Beliveau, V., Feng, L., Svarer, C. & Knudsen, Gitte Moos, 28 Jun 2015.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  33. Published

    Why is the winner the best?

    Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. D., Depeursinge, A. & 105 others, Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, Melanie, Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Wijnen, K. V., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D. B., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., Faura, Á. G., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M. H., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A. & Maier-Hein, L., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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