Manifold Learning of Brain MRIs by Deep Learning. - Tom Brosch; Roger C. Tam (MICCAI (2), 2013)

Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning. - Tom Brosch; Youngjin Yoo; David K. B. Li; Anthony Traboulsee; Roger C. Tam (MICCAI (2), 2014)

Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation. - Youngjin Yoo; Tom Brosch; Anthony Traboulsee; David K. B. Li; Roger C. Tam (MLMI, 2014)

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation. - Tom Brosch; Youngjin Yoo; Lisa Y. W. Tang; David K. B. Li; Anthony Traboulsee; Roger C. Tam (MICCAI (3), 2015)

Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images. - Tom Brosch; Roger C. Tam (Neural Comput., 2015)

Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction. - Lisa Y. W. Tang; Tom Brosch; Xingtong Liu; Youngjin Yoo; Anthony Traboulsee; David K. B. Li; Roger C. Tam (MICCAI (2), 2016)

Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis. - Youngjin Yoo; Lisa Y. W. Tang; Tom Brosch; David K. B. Li; Luanne Metz; Anthony Traboulsee; Roger C. Tam (LABELS/DLMIA@MICCAI, 2016)

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation. - Tom Brosch; Lisa Y. W. Tang; Youngjin Yoo; David K. B. Li; Anthony Traboulsee; Roger C. Tam (IEEE Trans. Medical Imaging, 2016)

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections. - Adam Porisky; Tom Brosch; Emil Ljungberg; Lisa Y. W. Tang; Youngjin Yoo; Benjamin De Leener; Anthony Traboulsee; Julien Cohen-Adad; Roger C. Tam (DLMIA/ML-CDS@MICCAI, 2017)

Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models. - Alexander Schmidt-Richberg; Tom Brosch; Nicole Schadewaldt; Tobias Klinder; Angelo Cavallaro; Ibtisam Salim; David Roundhill; Aris T. Papageorghiou; Cristian Lorenz (FIFI/OMIA@MICCAI, 2017)

Spinal cord grey matter segmentation challenge. - Ferran Prados; John Ashburner; Claudia Blaiotta; Tom Brosch; Julio Carballido-Gamio; Manuel Jorge Cardoso; Benjamin N. Conrad; Esha Datta; Gergely Dávid; Benjamin De Leener; Sara M. Dupont; Patrick Freund; et al. (NeuroImage, 2017)

Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation. - Tom Brosch; Jochen Peters; Alexandra Groth; Thomas Stehle; Jürgen Weese (MICCAI (4), 2018)

Organ-At-Risk Segmentation in Brain MRI Using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors. - Eliza Orasanu; Tom Brosch; Carri Glide-Hurst; Steffen Renisch (ShapeMI@MICCAI, 2018)

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. - Danielle F. Pace; Adrian V. Dalca; Tom Brosch; Tal Geva; Andrew J. Powell; Jürgen Weese; Mehdi Hedjazi Moghari; Polina Golland (DLMIA/ML-CDS@MICCAI, 2018)

Foveal fully convolutional nets for multi-organ segmentation. - Tom Brosch; Axel Saalbach (Image Processing, 2018)

Nearest neighbor 3D segmentation with context features. - Evelin Hristova; Heinrich Schulz; Tom Brosch; Mattias P. Heinrich; Hannes Nickisch (Image Processing, 2018)

Automated abdominal plane and circumference estimation in 3D US for fetal screening. - Cristian Lorenz; Tom Brosch; Cybèle Ciofolo-Veit; Tobias Klinder; Thierry Lefevre; Angelo Cavallaro; Ibtisam Salim; Aris T. Papageorghiou; Caroline Raynaud; David Roundhill; Laurence Rouet; Nicole Schadewaldt; et al. (Image Processing, 2018)

Spine centerline extraction and efficient spine reading of MRI and CT data. - Cristian Lorenz; Nora Vogt; Peter Börnert; Tom Brosch (Image Processing, 2018)

Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks. - Heike Carolus; Andra-Iza Iuga; Tom Brosch; Rafael Wiemker; Frank Thiele; Anna J. Höink; David Maintz; Michael Püsken; Tobias Klinder (Computer-Aided Diagnosis, 2020)

3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images. - Cheryl Sital; Tom Brosch; Dominique Tio; Alexander Raaijmakers; Jürgen Weese (CoRR, 2020)

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks. - Andra-Iza Iuga; Heike Carolus; Anna J. Höink; Tom Brosch; Tobias Klinder; David Maintz; Thorsten Persigehl; Bettina Baeßler; Michael Püsken (BMC Medical Imaging, 2021)

Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. - Danielle F. Pace; Adrian V. Dalca; Tom Brosch; Tal Geva; Andrew J. Powell; Jürgen Weese; Mehdi Hedjazi Moghari; Polina Golland (Medical Image Anal., 2022)