| Pytorch lightning (2019) W Falcon, J Borovec, J Schock, A Wälchli, A Mocholi, A Nitta, T Chaton, ... GitHub Note: Available online at: https://githubcom/PyTorchLightning/pytorch …, 2019 | 1453* | 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 | 173* | 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 | 81 | 2018 |
| 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 | 53 | 2020 |
| batchgenerators—a python framework for data augmentation F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ... Zenodo 3632567, 2020 | 49 | 2020 |
| Pytorch lightning. GitHub, March 2019 WA Falcon | 41* | |
| 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 | 30 | 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 | 28 | 2018 |
| 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 | 16 | 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 | 16 | 2020 |
| 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 | 15 | 2019 |
| 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 | 14 | 2020 |
| 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 | 14 | 2020 |
| batchgenerators-a python framework for data augmentation (2020) F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ... URL https://doi. org/10.5281/zenodo 3632567, 2020 | 14 | 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 | 14 | 2019 |
| 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 | 13 | 2021 |
| Pytorchlightning/pytorch-lightning: 0.7. 6 release (2020) W Falcon, J Borovec, A Wälchli, N Eggert, J Schock, J Jordan, N Skafte, ... URL https://doi. org/10.5281/zenodo 3828935, 2023 | 12 | 2023 |
| 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 | 11 | 2021 |
| 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 | 10 | 2022 |
| 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 | 10 | 2020 |
Sven NebelungDepartment of Diagnostic and Interventional Radiology, University Hospital Aachenยืนยันอีเมลแล้วที่ ukaachen.de