Melanie Ganz-Benjaminsen
Associate Professor - Promotion Programme
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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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
- 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 journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
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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
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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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, , 2022, In: NeuroImage. 263, 19 p., 119623.Research output: Contribution to journal › Review › Research › peer-review
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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 journal › Journal article › Research › peer-review
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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, , 2021, 8 p. (bioRxiv).Research output: Working paper › Preprint › Research
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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, , 2022, In: Scientific Data. 9, 1, p. 1-7 65.Research output: Contribution to journal › Journal article › Research › peer-review
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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 proceeding › Article in proceedings › Research › peer-review
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
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
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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 journal › Journal article › Research › peer-review
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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. 30-43Research output: Contribution to journal › Journal article › Research › peer-review
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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-S417Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol
Köhler-Forsberg, K., Jørgensen, Anders, Dam, V. H., Stenbæk, Dea Siggaard, Fisher, P. M., Ip, C. T., Ganz, Melanie, Poulsen, Henrik Enghusen, Giraldi, Annamaria Giovanna Elena, Ozenne, Brice Maxime Hugues, Jørgensen, Martin Balslev, Knudsen, Gitte Moos & Frøkjær, Vibe Gedsø, 2020, In: Frontiers in Psychiatry. 11, 15 p., 641.Research output: Contribution to journal › Journal article › Research › peer-review
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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. 6139-6148Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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 journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
Relevant feature set estimation with a knock-out strategy and random forests
Ganz, Melanie, Greve, D. N., Fischl, B. & Konukoglu, E., 2015, In: NeuroImage. 122Research output: Contribution to journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
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 conference › Conference abstract for conference › Research › peer-review
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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 conference › Conference abstract for conference › Research
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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. 8423962Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 journal › Conference abstract in journal › Research › peer-review
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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/Report › Report › Research
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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 journal › Journal article › Research › peer-review
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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 journal › Conference abstract in journal › Research › peer-review
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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 journal › Journal article › Research › peer-review
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 conference › Conference abstract for conference › Research › peer-review
- 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, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women
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Abdominal aortic calcification quantified by the Morphological Atherosclerotic Calcification Distribution (MACD) index is associated with features of the metabolic syndrome
Research output: Contribution to journal › Journal article › Research › peer-review
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