Elizabeth R. Gerstner
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2010 – today
- 2018
- [j4]Yangming Ou, Lilla Zöllei, Xiao Da, Kallirroi Retzepi, Shawn N. Murphy, Elizabeth R. Gerstner, Bruce R. Rosen, P. Ellen Grant, Jayashree Kalpathy-Cramer, Randy L. Gollub:
Field of View Normalization in Multi-Site Brain MRI. Neuroinformatics 16(3-4): 431-444 (2018) - [c3]Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential neural networks for biologically-informed glioma segmentation. Medical Imaging: Image Processing 2018: 1057433 - [i2]Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
DeepNeuro: an open-source deep learning toolbox for neuroimaging. CoRR abs/1808.04589 (2018) - 2017
- [j3]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Trans. Med. Imaging 36(3): 815-825 (2017) - [i1]Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. CoRR abs/1709.02967 (2017) - 2016
- [j2]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Trans. Med. Imaging 35(10): 2329-2339 (2016) - 2015
- [j1]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Med. Imaging 34(10): 1993-2024 (2015) - [c2]Kourosh Jafari-Khouzani, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Upsampling dynamic contrast enhanced MRI. ISBI 2015: 1032-1035 - [c1]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Bayesian Personalization of Brain Tumor Growth Model. MICCAI (2) 2015: 424-432
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last updated on 2019-01-09 01:41 CET by the dblp team
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