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Tom Brosch

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

1

Active years

2013–2018

Best venue rank

A

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2018MICCAIDeep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation.Tom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle, Jrgen Weese
2018MICCAIOrgan-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
2018MICCAIIterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease.Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jrgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2017MICCAIGrey 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
2017MICCAIAbdomen 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
2016MICCAICorpus 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
2016MICCAIDeep 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
2015MICCAIDeep 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
2014MICCAIModeling 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
2014MICCAIDeep 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
2013MICCAIManifold Learning of Brain MRIs by Deep Learning.Tom Brosch, Roger C. Tam