Birgit Ertl-Wagner

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Interactive Visual

Low Grade Gliomas

Top Venues

Frontiers Artif. Intell.

Biomed. Signal Process. Control.

Publications

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 (2023)
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 (2022)
Adam Lim, Justin Lo, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
Automatic Artifact Detection Algorithm in Fetal MRI. Frontiers Artif. Intell. 5 (2022)
Ernest Namdar, Matthias W. Wagner, Birgit Ertl-Wagner, Farzad Khalvati
Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible. CoRR (2022)
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 (2022)
Partoo Vafaeikia, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. EMBC (2022)
Justin Lo, Saiee Nithiyanantham, Jillian Cardinell, Dylan Young, Sherwin Cho, Abirami Kirubarajan, Matthias W. Wagner, Roxana Azma, Steven Miller, Mike Seed, Birgit Ertl-Wagner, Dafna Sussman
Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation. Sensors 21 (13) (2021)
Partoo Vafaeikia, Matthias W. Wagner, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning. CoRR (2021)
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 (2020)
Valerie Kirsch, Rainer Boegle, Daniel Keeser, E. Kierig, Birgit Ertl-Wagner, Thomas Brandt, Marianne Dieterich
Handedness-dependent functional organizational patterns within the bilateral vestibular cortical network revealed by fMRI connectivity based parcellation. NeuroImage 178 (2018)
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. Comput. Vis. Image Underst. 164 (2017)
Jana Wörsching, Frank Padberg, Konstantin Helbich, Alkomiet Hasan, Lena Koch, Stephan Goerigk, Sophia Stoecklein, Birgit Ertl-Wagner, Daniel Keeser
Test-retest reliability of prefrontal transcranial Direct Current Stimulation (tDCS) effects on functional MRI connectivity in healthy subjects. NeuroImage 155 (2017)
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 (2016)