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Birgit Ertl-Wagner
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
- [i8]Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati:
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR abs/2402.03547 (2024) - 2023
- [j7]Adam Lim, Justin Lo, Matthias W. Wagner
, Birgit Ertl-Wagner, Dafna Sussman
Motion artifact correction in fetal MRI based on a Generative Adversarial network method. Biomed. Signal Process. Control. 81: 104484 (2023) - [i7]Meng Zhou, Matthias W. Wagner, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati:
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks. CoRR abs/2310.01251 (2023) - 2022
- [j6]Adam Lim, Justin Lo, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
Automatic Artifact Detection Algorithm in Fetal MRI. Frontiers Artif. Intell. 5 (2022) - [j5]Justin Lo, Adam Lim, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI. Frontiers Artif. Intell. 5: 832485 (2022) - [c1]Partoo Vafaeikia, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori
Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. EMBC 2022: 2119-2122 - [i6]Ernest Namdar, Matthias W. Wagner, Birgit Ertl-Wagner, Farzad Khalvati:
Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. CoRR abs/2207.14776 (2022) - [i5]Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR abs/2210.07287 (2022) - [i4]Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati:
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR abs/2211.05269 (2022) - 2021
- [j4]Justin Lo, Saiee Nithiyanantham, Jillian Cardinell, Dylan Young
Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. Sensors 21(13): 4490 (2021) - [i3]Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. CoRR abs/2111.14959 (2021) - 2020
- [i2]Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John D. Haynes, Michael T. Heneka, Daniel Janowitz, Deniz Baris Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc-André Weber, Birgit Ertl-Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen, Stefan J. Teipel:
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. CoRR abs/2012.10294 (2020)
2010 – 2019
- 2018
- [j3]Valerie Kirsch
Handedness-dependent functional organizational patterns within the bilateral vestibular cortical network revealed by fMRI connectivity based parcellation. NeuroImage 178: 224-237 (2018) - 2017
- [j2]Fausto Milletari, Seyed-Ahmad Ahmadi
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. Comput. Vis. Image Underst. 164: 92-102 (2017) - [j1]Jana Wörsching, Frank Padberg, Konstantin Helbich, Alkomiet Hasan, Lena Koch, Stephan Goerigk
Test-retest reliability of prefrontal transcranial Direct Current Stimulation (tDCS) effects on functional MRI connectivity in healthy subjects. NeuroImage 155: 187-201 (2017) - 2016
- [i1]Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena E. Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab:
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound. CoRR abs/1601.07014 (2016)
Coauthor Index
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