Melanie Ganz-Benjaminsen

Melanie Ganz-Benjaminsen

Lektor - forfremmelsesprogrammet


  1. Udgivet

    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 flere, 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, s. 19955-19966

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    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. (red.). Springer, s. 34-41 8 s. (Lecture notes in computer science, Bind 6357).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Dense Iterative Contextual Pixel Classification using Kriging

    Ganz, Melanie, Loog, M., Brandt, S. & Nielsen, Mads, 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. . s. 87-93 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    MACD - an imaging marker for cardiovascular disease

    Ganz, Melanie, de Bruijne, Marleen & Nielsen, Mads, 2010, Medical Imaging 2010: computer-aided diagnosis. Karssemeijer, N. & Summers, R. M. (red.). SPIE - International Society for Optical Engineering, 9 s. 76240

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. 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.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  6. Udgivet

    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. (red.). Springer, s. 147-154 8 s. (Lecture notes in computer science, Bind 8184).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Permutations Tests for Binary Classification:Revisited

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

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. 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. (red.). Springer Publishing Company, s. 171-178 8 s. (Lecture notes in computer science, Bind 8184).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Growth Pattern of Atherosclerotic Calcifications

    Larsen, L. L., Ganz, Melanie, Dam, E., Dandu, N. & Nielsen, Mads, 2008, CVII '08: Second International Workshop on Computer vision for intracardiac and intravascular imaging, held in New York, USA, September 10, 2008 in conjunction with the 11th MICCAI conference. Sabancí Üniversítesí. 34956 Tuzla, Istanbul, s. 63-70

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    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. (red.). Springer, Bind 11764. s. 196-204 9 s. (Lecture Notes in Computer Science, Bind 11767).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  11. Udgivet

    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 s. 8423962

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. 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.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. Udgivet

    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, s. 706-719 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11361 LNCS).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  14. Udgivet

    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., s. 817-829 13 s. (ACM International Conference Proceeding Series).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Udgivet

    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. (red.). Springer, Bind Part 1. s. 88-98 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13431 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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