Model-Driven Cross-Platform Apps: Towards Business Practicability. - Tim A. Majchrzak; Jan Ernsting; Herbert Kuchen (CAiSE Forum, 2015)

Integrating Agile Software Development and Enterprise Architecture Management. - Sebastian Hanschke; Jan Ernsting; Herbert Kuchen (HICSS, 2015)

Reengineering an Approach to Model-Driven Development of Business Apps. - Tim A. Majchrzak; Jan Ernsting (SIGSAND, 2015)

Achieving Business Practicability of Model-Driven Cross-Platform Apps. - Tim A. Majchrzak; Jan Ernsting; Herbert Kuchen (Open J. Inf. Syst., 2015)

Generating App Product Lines in a Model-Driven Cross-Platform Development Approach. - Jan C. Dageförde; Tobias Reischmann; Tim A. Majchrzak; Jan Ernsting (HICSS, 2016)

Towards a Reference Architecture for Model-Driven Business Apps. - Soren Evers; Jan Ernsting; Tim A. Majchrzak (HICSS, 2016)

Refining a Reference Architecture for Model-Driven Business Apps. - Jan Ernsting; Christoph Rieger; Fabian Wrede; Tim A. Majchrzak (WEBIST (2), 2016)

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; et al. (Bioinform., 2018)

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; et al. (CoRR, 2020)

The PHOTON Wizard - Towards Educational Machine Learning Code Generators. - Ramona Leenings; Nils Ralf Winter; Kelvin Sarink; Jan Ernsting; Xiaoyi Jiang 001; Udo Dannlowski; Tim Hahn (CoRR, 2020)

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; et al. (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; et al. (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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2021)

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; et al. (CoRR, 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; et al. (CoRR, 2023)

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 001; Tim Hahn (ASMUS@MICCAI, 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; et al. (Comput. Biol. Medicine, 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)

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)

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; et al. (CoRR, 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)