Justus Schock
Justus Schock
Lightning AI
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Cited by
Cited by
Pytorch Lightning. 2019
W Falcon, J Borovec, J Schock, A Wälchli, A Mocholi, A Nitta, T Chaton, ...
URL https://github. com/PyTorchLightning/pytorch-lightning, 2019
Torchmetrics-measuring reproducibility in pytorch
NS Detlefsen, J Borovec, J Schock, AH Jha, T Koker, L Di Liello, D Stancl, ...
Journal of Open Source Software 7 (70), 4101, 2022
A thermal infrared face database with facial landmarks and emotion labels
M Kopaczka, R Kolk, J Schock, F Burkhard, D Merhof
IEEE Transactions on Instrumentation and Measurement 68 (5), 1389-1401, 2018
batchgenerators—a python framework for data augmentation
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Version 0.19 6, 2020
Automated analysis of alignment in long-leg radiographs by using a fully automated support system based on artificial intelligence
J Schock, D Truhn, DB Abrar, D Merhof, S Conrad, M Post, F Mittelstrass, ...
Radiology: Artificial Intelligence 3 (2), e200198, 2020
A modular system for detection, tracking and analysis of human faces in thermal infrared recordings
M Kopaczka, L Breuer, J Schock, D Merhof
Sensors 19 (19), 4135, 2019
A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images
M Kopaczka, J Schock, J Nestler, K Kielholz, D Merhof
2018 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2018
PyTorch lightning. GitHub (March 2019)
WA Falcon
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
M Kopaczka, J Schock, D Merhof
arXiv preprint arXiv:1902.03459, 2019
A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality
T Hafner, J Schock, M Post, DB Abrar, P Sewerin, K Linka, M Knobe, ...
Scientific reports 10 (1), 15106, 2020
Deep learning-based post-processing of real-time MRI to assess and quantify dynamic wrist movement in health and disease
KL Radke, LM Wollschläger, S Nebelung, DB Abrar, C Schleich, ...
Diagnostics 11 (6), 1077, 2021
An MRI-compatible varus–valgus loading device for whole-knee joint functionality assessment based on compartmental compression: A proof-of-concept study
O Said, J Schock, N Krämer, J Thüring, L Hitpass, P Schad, C Kuhl, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 33, 839-854, 2020
A method for semantic knee bone and cartilage segmentation with deep 3D shape fitting using data from the osteoarthritis initiative
J Schock, M Kopaczka, B Agthe, J Huang, P Kruse, D Truhn, S Conrad, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020
Adaptive preprocessing for generalization in cardiac MR image segmentation
F Khader, J Schock, D Truhn, F Morsbach, C Haarburger
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
Magnetic resonance imaging of human knee joint functionality under variable compressive in-situ loading and axis alignment
P Schad, M Wollenweber, J Thüring, J Schock, J Eschweiler, G Palm, ...
journal of the mechanical behavior of biomedical materials 110, 103890, 2020
Assessment of laboratory mouse activity in video recordings using deep learning methods
M Kopaczka, D Tillmann, L Ernst, J Schock, R Tolba, D Merhof
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks
G Müller-Franzes, T Nolte, M Ciba, J Schock, F Khader, A Prescher, ...
Diagnostics 12 (3), 688, 2022
No pressure, no diamonds?-Static vs. dynamic compressive in-situ loading to evaluate human articular cartilage functionality by functional MRI
D Truhn, KT Zwingenberger, J Schock, DB Abrar, KL Radke, M Post, ...
Journal of the mechanical behavior of biomedical materials 120, 104558, 2021
Radiomic feature stability analysis based on probabilistic segmentations
C Haarburger, J Schock, D Truhn, P Weitz, G Mueller-Franzes, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1188-1192, 2020
Using machine learning to study the kinematics of cold gas in galaxies
JM Dawson, TA Davis, EL Gomez, J Schock, N Zabel, TG Williams
Monthly Notices of the Royal Astronomical Society 491 (2), 2506-2519, 2020
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