Organ-At-Risk Segmentation in Brain MRI using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors

Por Orasanu, Eliza, Brosch, Tom, Glide-Hurst, Carri, Renisch, Steffen
Publicado no Shape Med Imaging (2018) (2018)

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease

Por Pace, Danielle F., Dalca, Adrian V., Brosch, Tom, Geva, Tal, Powell, Andrew J., Weese, Jürgen, Moghari, Mehdi H., Golland, Polina
Publicado no Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018) (2018)

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

Por Yoo, Youngjin, Tang, Lisa Y.W., Brosch, Tom, Li, David K.B., Kolind, Shannon, Vavasour, Irene, Rauscher, Alexander, MacKay, Alex L., Traboulsee, Anthony, Tam, Roger C.
Publicado no Neuroimage Clin (2017)

Spinal cord grey matter segmentation challenge

Por Prados, Ferran, Ashburner, John, Blaiotta, Claudia, Brosch, Tom, Carballido-Gamio, Julio, Cardoso, Manuel Jorge, Conrad, Benjamin N., Datta, Esha, Dávid, Gergely, Leener, Benjamin De, Dupont, Sara M., Freund, Patrick, Wheeler-Kingshott, Claudia A.M. Gandini, Grussu, Francesco, Henry, Roland, Landman, Bennett A., Ljungberg, Emil, Lyttle, Bailey, Ourselin, Sebastien, Papinutto, Nico, Saporito, Salvatore, Schlaeger, Regina, Smith, Seth A., Summers, Paul, Tam, Roger, Yiannakas, Marios C., Zhu, Alyssa, Cohen-Adad, Julien
Publicado no Neuroimage (2017)