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ORCIDJustus Schock
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2020 – today
- 2022
[j5]Nicki Skafte Detlefsen
, Jirí Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon:
TorchMetrics - Measuring Reproducibility in PyTorch. J. Open Source Softw. 7(69): 4101 (2022)- [c10]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [c9]Dennis Eschweiler, Justus Schock, Johannes Stegmaier:
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. SASHIMI@MICCAI 2022: 24-33 - 2021
- [j4]Jianzhang Li, Sven Nebelung, Justus Schock, Björn Rath, Markus Tingart, Yu Liu, Nad Siroros, Jörg Eschweiler:
A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System. Comput. Methods Programs Biomed. 208: 106245 (2021) - 2020
- [c8]Marcin Kopaczka, Justus Schock, Paul Kruse, Dorit Merhof:
Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks. IPTA 2020: 1-6 - [c7]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI 2020: 1188-1192 - [c6]Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof:
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI 2020: 85-94 - [c5]Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger:
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 269-276
2010 – 2019
- 2019
- [j3]Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof:
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4(38): 1488 (2019) - [j2]Marcin Kopaczka, Lukas Breuer, Justus Schock, Dorit Merhof:
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. Sensors 19(19): 4135 (2019) - [j1]Marcin Kopaczka, Raphael Kolk, Justus Schock, Felix Burkhard, Dorit Merhof:
A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels. IEEE Trans. Instrum. Meas. 68(5): 1389-1401 (2019) - [c4]Marcin Kopaczka, Daniel Tillmann, Lisa Ernst, Justus Schock, René Tolba, Dorit Merhof:
Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods. EMBC 2019: 3673-3676 - [c3]Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof:
Combined Learning for Similar Tasks with Domain-Switching Networks. MICCAI (5) 2019: 565-572 - [i2]Marcin Kopaczka, Justus Schock, Dorit Merhof:
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters. CoRR abs/1902.03459 (2019) - [i1]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - 2018
- [c2]Marcin Kopaczka, Justus Schock, Jan Nestler, Kevin Kielholz, Dorit Merhof:
A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images. IST 2018: 1-6 - [c1]Marcin Kopaczka, Lisa Ernst, Justus Schock, Arne Schneuing, Alexander Guth, René Tolba, Dorit Merhof:
Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice. VCBM@MICCAI 2018: 101-106
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