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Melanie Ganz-Benjaminsen
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- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2024
- [i8]Brice Ozenne, Martin Norgaard, Cyril R. Pernet, Melanie Ganz:
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses. CoRR abs/2404.14882 (2024) - 2023
- [j13]Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen:
The path toward equal performance in medical machine learning. Patterns 4(7): 100790 (2023) - [c12]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c11]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. FAccT 2023: 817-829 - [e1]Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - [i7]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. CoRR abs/2302.08851 (2023) - [i6]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i5]Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen:
Are demographically invariant models and representations in medical imaging fair? CoRR abs/2305.01397 (2023) - 2022
- [j12]Guiomar Niso, Rotem Botvinik-Nezer, Stefan Appelhoff, Alejandro de la Vega, Oscar Esteban, Joset A. Etzel, Karolina Finc, Melanie Ganz, Remi Gau, Yaroslav O. Halchenko, Peer Herholz, Agah Karakuzu, David B. Keator, Christopher J. Markiewicz, Camille Maumet, Cyril R. Pernet, Franco Pestilli, Nazek Queder, Tina Schmitt, Weronika Sójka, Adina S. Wagner, Kirstie J. Whitaker, Jochem W. Rieger:
Open and reproducible neuroimaging: From study inception to publication. NeuroImage 263: 119623 (2022) - [j11]Anders S. Olsen, Anders Lykkebo-Valløe, Brice Ozenne, Martin K. Madsen, Dea S. Stenbæk, Sophia Armand, Morten Mørup, Melanie Ganz, Gitte Moos Knudsen, Patrick M. Fisher:
Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects. NeuroImage 264: 119716 (2022) - [c10]Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz:
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection. MICCAI (1) 2022: 88-98 - [i4]Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz:
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection. CoRR abs/2204.01737 (2022) - [i3]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j10]Martin Nørgaard, Vincent Beliveau, Melanie Ganz, Claus Svarer, Lars H. Pinborg, Sune Høgild Keller, Peter S. Jensen, Douglas N. Greve, Gitte Moos Knudsen:
A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors. NeuroImage 232: 117878 (2021) - 2020
- [j9]Vincent Beliveau, Brice Ozenne, Stephen C. Strother, Douglas N. Greve, Claus Svarer, Gitte Moos Knudsen, Melanie Ganz:
The structure of the serotonin system: A PET imaging study. NeuroImage 205 (2020)
2010 – 2019
- 2019
- [j8]Martin Nørgaard, Melanie Ganz, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Stephen C. Strother, Gitte Moos Knudsen:
Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [11C]DASB PET study. NeuroImage 199: 466-479 (2019) - [c9]Martin Nørgaard, Brice Ozenne, Claus Svarer, Vibe G. Frokjaer, Martin Schain, Stephen C. Strother, Melanie Ganz:
Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging. MICCAI (4) 2019: 196-204 - [i2]Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Folkmann Hansen, Melanie Ganz, Gudmundur Einarsson:
Multi-view consensus CNN for 3D facial landmark placement. CoRR abs/1910.06007 (2019) - 2018
- [j7]Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Jerry L. Prince:
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018) - [c8]Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Folkmann Hansen, Melanie Ganz, Gudmundur Einarsson:
Multi-view Consensus CNN for 3D Facial Landmark Placement. ACCV (1) 2018: 706-719 - [c7]Martin Nørgaard, Douglas N. Greve, Claus Svarer, Stephen C. Strother, Gitte Moos Knudsen, Melanie Ganz:
The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data. PRNI 2018: 1-4 - 2017
- [j6]Melanie Ganz, Daniel Kondermann, Jonas Andrulis, Gitte Moos Knudsen, Lena Maier-Hein:
Crowdsourcing for error detection in cortical surface delineations. Int. J. Comput. Assist. Radiol. Surg. 12(1): 161-166 (2017) - [c6]Melanie Ganz, Ender Konukoglu:
Permutation tests for classification: revisited. PRNI 2017: 1-4 - 2016
- [j5]Anders Ettrup, Claus Svarer, Brenda McMahon, Sofi da Cunha-Bang, Szabolcs Lehel, Kirsten Møller, Agnete Dyssegaard, Melanie Ganz, Vincent Beliveau, Louise Møller, Nic Gillings, Gitte Moos Knudsen:
Serotonin 2A receptor agonist binding in the human brain with [11C]Cimbi-36: Test-retest reproducibility and head-to-head comparison with the antagonist [18F]altanserin. NeuroImage 130: 167-174 (2016) - 2015
- [j4]Melanie Ganz, Douglas N. Greve, Bruce Fischl, Ender Konukoglu:
Relevant feature set estimation with a knock-out strategy and random forests. NeuroImage 122: 131-148 (2015) - 2014
- [i1]Ender Konukoglu, Melanie Ganz:
Approximate False Positive Rate Control in Selection Frequency for Random Forest. CoRR abs/1410.2838 (2014) - 2013
- [c5]Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput:
An Improved Optimization Method for the Relevance Voxel Machine. MLMI 2013: 147-154 - [c4]Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI 2013: 171-178 - 2012
- [j3]Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal, Claus Christiansen, Mads Nielsen:
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j2]Melanie Ganz, Xiaoyun Yang, Greg G. Slabaugh:
Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data. IEEE Trans. Biomed. Eng. 59(8): 2144-2151 (2012) - [j1]Kersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt:
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging 31(3): 663-676 (2012) - 2010
- [c3]Melanie Ganz, Marleen de Bruijne, Mads Nielsen:
MACD: an imaging marker for cardiovascular disease. Medical Imaging: Computer-Aided Diagnosis 2010: 76240P - [c2]Melanie Ganz, Mads Nielsen, Sami S. Brandt:
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos. MLMI 2010: 34-41
2000 – 2009
- 2009
- [c1]Melanie Ganz, Marco Loog, Sami S. Brandt, Mads Nielsen:
Dense iterative contextual pixel classification using Kriging. CVPR Workshops 2009: 87-93
Coauthor Index
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