Kayhan N. Batmanghelich

Publication Activity (10 Years)

Years Active: 2008-2018
Publications (10 Years): 8

Top Topics

Hierarchical Bayesian Model

Machine Learning

Survival Prediction

Top Venues

Publications

Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. CoRR (2018)
Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich
Deep Diffeomorphic Normalizing Flows. CoRR (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. MICCAI (1) (2018)
Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. IPMI (2017)
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
Nonparametric Spherical Topic Modeling with Word Embeddings. CoRR (2016)
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
Nonparametric Spherical Topic Modeling with Word Embeddings. ACL (2) (2016)
Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. ICCV (2015)
Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland
Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. BAMBI (2014)
Yasser Ghanbari, Luke Bloy, Kayhan N. Batmanghelich, Timothy P. L. Roberts, Ragini Verma
Dominant Component Analysis of Electrophysiological Connectivity Networks. MICCAI (3) (2012)
Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
Disease classification and prediction via semi-supervised dimensionality reduction. ISBI (2011)
Kayhan N. Batmanghelich, Xiaoying Wu, Evangelia I. Zacharaki, Clyde E. Markowitz, Christos Davatzikos, Ragini Verma
Multiparametric tissue abnormality characterization using manifold regularization. Medical Imaging: Computer-Aided Diagnosis (2008)