Jan Ernsting

According to our database, Jan Ernsting authored at least 24 papers between 2015 and 2025.

Collaborative distances:

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

2025

Towards population scale testis volume segmentation in DIXON MRI.

Jan Ernsting, Philipp Nikolas Beeken, Lynn Ogoniak, Jacqueline Kockwelp, Wolfgang Roll, Tim Hahn, Alexander Siegfried Busch, Benjamin Risse

Comput. Biol. Medicine, 2025

2024

Towards Population Scale Testis Volume Segmentation in DIXON MRI.

Jan Ernsting, Phillip Nikolas Beeken, Lynn Ogoniak, Jacqueline Kockwelp, Tim Hahn, Alexander Siegfried Busch, Benjamin Risse

CoRR, 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

pyAKI - An Open Source Solution to Automated KDIGO classification.

Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo Caspar von Groote

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

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.

Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado

CoRR, 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

2021

Towards a Network Control Theory of Electroconvulsive Therapy Response.

Tim Hahn, Hamidreza Jamalabadi, Erfan Nozari, Nils R. Winter, Jan Ernsting, Marius Gruber, Marco J. Mauritz, Pascal Grumbach, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Leon Kleine Vennekate, Daniel Emden, Nils Opel, Dominik Grotegerd, Verena Enneking, Susanne Meinert, Tiana Borgers, Melissa Klug, Elisabeth J. Leehr, Katharina Dohm, Walter Heindel, Joachim Gross, Udo Dannlowski, Ronny Redlich, Jonathan Repple

CoRR, 2021

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder.

Tim Hahn, Hamidreza Jamalabadi, Daniel Emden, Janik Goltermann, Jan Ernsting, Nils R. Winter, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Vincent Holstein, Marius Gruber, Dominik Grotegerd, Susanne Meinert, Katharina Dohm, Elisabeth J. Leehr, Maike Richter, Lisa Sindermann, Verena Enneking, Hannah Lemke, Stephanie H. Witt, Marcella Rietschel, Katharina Brosch, Julia-Katharina Pfarr, Tina Meller, Kai Gustav Ringwald, Simon Schmitt, Frederike Stein, Igor Nenadic, Tilo Kircher, Bertram Müller-Myhsok, Till F. M. Andlauer, Jonathan Repple, Udo Dannlowski, Nils Opel

CoRR, 2021

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder.

Tim Hahn, Nils R. Winter, Jan Ernsting, Marius Gruber, Marco J. Mauritz, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Vincent Holstein, Daniel Emden, Marie Beisemann, Nils Opel, Dominik Grotegerd, Susanne Meinert, Walter Heindel, Stephanie H. Witt, Marcella Rietschel, Markus M. Nöthen, Andreas J. Forstner, Tilo Kircher, Igor Nenadic, Andreas Jansen, Bertram Müller-Myhsok, Till F. M. Andlauer, Martin Walter, Martijn P. van den Heuvel, Hamidreza Jamalabadi, Udo Dannlowski, Jonathan Repple

CoRR, 2021

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.

Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger

CoRR, 2021

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.

Lukas Fisch, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Niklas Wulms, Heike Minnerup, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Annette Peters, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Bernhard T. Baune, Tilo Kircher, Benjamin Risse, Udo Dannlowski, Klaus Berger, Tim Hahn

CoRR, 2021

2020

The PHOTON Wizard - Towards Educational Machine Learning Code Generators.

Ramona Leenings, Nils Ralf Winter, Kelvin Sarink, Jan Ernsting, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn

CoRR, 2020

PHOTON - A Python API for Rapid Machine Learning Model Development.

Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn

CoRR, 2020

2018

appreci8: a pipeline for precise variant calling integrating 8 tools.

Sarah Sandmann, Mohsen Karimi, Aniek O. de Graaf, Christian Rohde, Stefanie Göllner, Julian Varghese, Jan Ernsting, Gunilla Walldin, Bert A. van der Reijden, Carsten Müller-Tidow, Luca Malcovati, Eva Hellström-Lindberg, Joop H. Jansen, Martin Dugas

Bioinform., 2018

2016

Refining a Reference Architecture for Model-Driven Business Apps.

Jan Ernsting, Christoph Rieger, Fabian Wrede, Tim A. Majchrzak

Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

Towards a Reference Architecture for Model-Driven Business Apps.

Soren Evers, Jan Ernsting, Tim A. Majchrzak

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Generating App Product Lines in a Model-Driven Cross-Platform Development Approach.

Jan C. Dageförde, Tobias Reischmann, Tim A. Majchrzak, Jan Ernsting

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

Achieving Business Practicability of Model-Driven Cross-Platform Apps.

Tim A. Majchrzak, Jan Ernsting, Herbert Kuchen

Open J. Inf. Syst., 2015

Reengineering an Approach to Model-Driven Development of Business Apps.

Tim A. Majchrzak, Jan Ernsting

Proceedings of the Information Systems: Development, Applications, Education, 2015

Integrating Agile Software Development and Enterprise Architecture Management.

Sebastian Hanschke, Jan Ernsting, Herbert Kuchen

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Model-Driven Cross-Platform Apps: Towards Business Practicability.

Tim A. Majchrzak, Jan Ernsting, Herbert Kuchen

Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), 2015