Carlotta B. C. Barkhau

According to our database, Carlotta B. C. Barkhau authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks.

Lukas Fisch, Nils R. Winter, Janik Goltermann, Carlotta B. C. Barkhau, Daniel Emden, Jan Ernsting, Maximilian Konowski, Ramona Leenings, Tiana Borgers, Kira Flinkenflügel, Dominik Grotegerd, Anna Kraus, Elisabeth J. Leehr, Susanne Meinert, Frederike Stein, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Marco Hermesdorf, Hamidreza Jamalabadi, Andreas Jansen, Igor Nenadic, Benjamin Straube, Tilo Kircher, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn

CoRR, 2024

deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.

Lukas Fisch, Stefan Zumdick, Carlotta B. C. Barkhau, Daniel Emden, Jan Ernsting, Ramona Leenings, Kelvin Sarink, Nils R. Winter, Benjamin Risse, Udo Dannlowski, Tim Hahn

Comput. Biol. Medicine, 2024

GateNet: A novel neural network architecture for automated flow cytometry gating.

Lukas Fisch, Michael O. Heming, Andreas Schulte-Mecklenbeck, Catharina C. Gross, Stefan Zumdick, Carlotta B. C. Barkhau, Daniel Emden, Jan Ernsting, Ramona Leenings, Kelvin Sarink, Nils R. Winter, Udo Dannlowski, Heinz Wiendl, Gerd Meyer zu Hörste, Tim Hahn

Comput. Biol. Medicine, 2024

C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal Ultrasound.

Ramona Leenings, Maximilian Konowski, Nils R. Winter, Jan Ernsting, Lukas Fisch, Carlotta B. C. Barkhau, Udo Dannlowski, Andreas Lügering, Xiaoyi Jiang, Tim Hahn

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

2023

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling.

Jan Ernsting, Nils R. Winter, Ramona Leenings, Kelvin Sarink, Carlotta B. C. Barkhau, Lukas Fisch, Daniel Emden, Vincent Holstein, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, NAKO Investigators, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn

CoRR, 2023

Can Synthetic Images Improve CNN Performance in Wound Image Classification?

Leila Malihi, Ursula Hübner, Mats L. Richter, Maurice Moelleken, Mareike Przysucha, Dorothee Busch, Jan Heggemann, Guido Hafer, Stefan Wiemeyer, Gunther Heidemann, Joachim Dissemond, Cornelia Erfurt-Berge, Carlotta B. C. Barkhau, Achim Hendriks, Jens Hüsers

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023