Tom Brosch

According to our database, Tom Brosch authored at least 22 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

2021

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

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 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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018

Spine centerline extraction and efficient spine reading of MRI and CT data.

Cristian Lorenz, Nora Vogt, Peter Börnert, Tom Brosch

Proceedings of the Medical Imaging 2018: 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, Alexander Schmidt-Richberg

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Nearest neighbor 3D segmentation with context features.

Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Foveal fully convolutional nets for multi-organ segmentation.

Tom Brosch, Axel Saalbach

Proceedings of the Medical Imaging 2018: Image Processing, 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

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 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

Proceedings of the Shape in Medical Imaging, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad

NeuroImage, 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

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

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

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

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

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

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

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

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Manifold Learning of Brain MRIs by Deep Learning.

Tom Brosch, Roger C. Tam

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013