Nagesh K. Subbanna

14 papers A* 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2017	—	`conf`	Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. BrainLes@MICCAI Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel
2015	—	`conf`	IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. IPMI Nagesh K. Subbanna, Doina Precup, Douglas L. Arnold, Tal Arbel
2015	J	`jnl`	Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information. IEEE Trans. Biomed. Eng. Rola Harmouche, Nagesh K. Subbanna, D. Louis Collins, Douglas L. Arnold, Tal Arbel
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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 J. 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
2014	A*	`conf`	Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. CVPR Nagesh K. Subbanna, Doina Precup, Tal Arbel
2013	—	`conf`	Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes. MICCAI (1) Nagesh K. Subbanna, Doina Precup, D. Louis Collins, Tal Arbel
2011	—	`conf`	Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. MIUA Nagesh K. Subbanna, Simon J. Francis, Doina Precup, D. Louis Collins, Douglas L. Arnold, Tal Arbel
2011	J	`jnl`	Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Anal. Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2008	J	`jnl`	Macromolecular sequence analysis using multiwindow Gabor representations. Signal Process. Nagesh K. Subbanna, Yehoshua Y. Zeevi
2007	J	`jnl`	A Unified Approach to Dual Gabor Windows. IEEE Trans. Signal Process. Tobias Werther, Ewa Matusiak, Yonina C. Eldar, Nagesh K. Subbanna
2007	J	`jnl`	Existence Conditions for Discrete Noncanonical Multiwindow Gabor Schemes. IEEE Trans. Signal Process. Nagesh K. Subbanna, Yehoshua Y. Zeevi
2005	—	`conf`	An efficient analysis technique for DNA sequences using multiwindow Gabor representations. EUSIPCO Nagesh K. Subbanna, Yehoshua Y. Zeevi
2005	J	`jnl`	Dual Gabor frames: theory and computational aspects. IEEE Trans. Signal Process. Tobias Werther, Yonina C. Eldar, Nagesh K. Subbanna
2004	—	`conf`	Efficient Gabor expansion using non minimal dual Gabor windows. ICECS Nagesh K. Subbanna, Yonina C. Eldar