A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images. - Marcin Kopaczka; Justus Schock; Jan Nestler; Kevin Kielholz; Dorit Merhof (IST, 2018)

Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice. - Marcin Kopaczka; Lisa Ernst; Justus Schock; Arne Schneuing; Alexander Guth; René Tolba; Dorit Merhof (VCBM@MICCAI, 2018)

Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods. - Marcin Kopaczka; Daniel Tillmann; Lisa Ernst; Justus Schock; René Tolba; Dorit Merhof (EMBC, 2019)

Combined Learning for Similar Tasks with Domain-Switching Networks. - Daniel Bug; Dennis Eschweiler; Qianyu Liu; Justus Schock; Leon Weninger; Friedrich Feuerhake; Julia Schüler; Johannes Stegmaier; Dorit Merhof (MICCAI (5), 2019)

Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters. - Marcin Kopaczka; Justus Schock; Dorit Merhof (CoRR, 2019)

Radiomic Feature Stability Analysis based on Probabilistic Segmentations. - Christoph Haarburger; Justus Schock; Daniel Truhn; Philippe Weitz; Leon Weninger; Dorit Merhof (CoRR, 2019)

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. - Christoph Haarburger; Justus Schock; Michael Baumgartner 001; Oliver Rippel; Dorit Merhof (J. Open Source Softw., 2019)

A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. - Marcin Kopaczka; Lukas Breuer; Justus Schock; Dorit Merhof (Sensors, 2019)

A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels. - Marcin Kopaczka; Raphael Kolk; Justus Schock; Felix Burkhard; Dorit Merhof (IEEE Trans. Instrum. Meas., 2019)

Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks. - Marcin Kopaczka; Justus Schock; Paul Kruse; Dorit Merhof (IPTA, 2020)

Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. - Christoph Haarburger; Justus Schock; Daniel Truhn; Philippe Weitz; Gustav Mueller-Franzes; Leon Weninger; Dorit Merhof (ISBI, 2020)

Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. - Firas Khader; Justus Schock; Daniel Truhn; Fabian Morsbach; Christoph Haarburger (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. - Justus Schock; Marcin Kopaczka; Benjamin Agthe; Jie Huang; Paul Kruse; Daniel Truhn; Stefan Conrad 001; Gerald Antoch; Christiane Kuhl; Sven Nebelung; Dorit Merhof (ShapeMI@MICCAI, 2020)

A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System. - Jianzhang Li; Sven Nebelung; Justus Schock; Björn Rath; Markus Tingart; Yu Liu; Nad Siroros; Jörg Eschweiler (Comput. Methods Programs Biomed., 2021)

Monoplanar CT Reconstruction with GANs. - Justus Schock; Yu-Chia Lan; Daniel Truhn; Marcin Kopaczka; Stefan Conrad 001; Sven Nebelung; Dorit Merhof (IPTA, 2022)

Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. - Dennis Eschweiler; Justus Schock; Johannes Stegmaier (SASHIMI@MICCAI, 2022)

TorchMetrics - Measuring Reproducibility in PyTorch. - Nicki Skafte Detlefsen; Jirí Borovec; Justus Schock; Ananya Harsh Jha; Teddy Koker; Luca Di Liello; Daniel Stancl; Changsheng Quan; Maxim Grechkin; William Falcon (J. Open Source Softw., 2022)