Publications for Kayhan Batmanghelich, PhD

2020

Yu K, Visweswaran S, Batmanghelich K.  Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space.  arXiv 1 June 2020. arXiv.org.  arXiv:2006.00986

Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich.  Unpaired Data Empowers Association Tests. bioRxiv. doi: https://doi.org/10.1101/839159.

2019

Mingming Gong, Yanwu Xu, Chuyuan Li, Kun Zhang, Kayhan Batmanghelich.  Twin Auxiliary Classifiers GAN. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

2018

Singla S, Gong M, Ravanbakhsh S, Sciurba F, Poszos B, Batmanghelich KN. Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2018: 502-510. doi: 10.1007/978-3-030-00928-1_57. PubMed PMID: 30895278. PMCID: PMC6422035.

Huisman, SMH, Mahfouz A, Batmanghelich NK, Lelieveldt BPF, Reinders MJT on behalf of for the Alzheimer's Disease Neuroimaging Initiative. A structural equation model for imaging genetics using spatial transcriptomics. Brain Inf. (2018) 5:13. PMID: 30390165. doi: https://doi.org/10.1186/s40708-018-0091-0.

Yu X, Liu T, Gong M, Batmanghelich K, Tao D. An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. PMC in process.

Fu H, Gong M, Wang C, Batmanghelich K, Tao D. Deep Ordinal Regression Network for Monocular Depth Estimation. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2018 Jun;2018:2002-2011. doi: 10.1109/CVPR.2018.00214. Epub 2018 Dec 17. PubMed PMID: 31274971. PMCID: PMC6607900.

2017

Schabdach J, Wells S, Cho M, Batmanghelich N. A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. International Conference on Information Processing in Medical Imaging (IPMI). 2017 Jun 25; 170-183. PMID:29129964. PMCID: PMC5679301. doi: 10.1007/978-3-319-59050-9_14

Freifeld O, Haubert S, Fisher J III, Batmanghelich N, Transformations Based on Continuous Piecewise-Affine Velocity Fields. IEEE Trans Pattern Anal Mach Intell. 2017 Dec;39(12):2496-2509. Epub 2017 Jan 1. doi: 10.1109/TPAMI.2016.2646685. PubMed PMID: 28092517. PMCID: PMC5889303.

2016

Batmanghelich N, Saeedi A, Estepar RJ, Cho M, Wells S. Inferring Disease Status by non-Parametric Probabalistic Embedding. Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. 2016 Oct 21; 49-57.

Binder P, Batmanghelich N, Estepar R, Golland P. Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort. Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. 2016 Oct;10019:180-187. doi: 10.1007/978-3-319-47157-0_22. Epub 2016 Oct 1. PubMed PMID: 28232959. PMCID: PMC5317320.

Batmanghelich N, Saeedi A, Narasimhan K, Gershman S. Nonparametric Spherical Topic Modeling with Word Embeddings. Proc Conf Assoc Comput Linguist Meet. 2016 Aug; 2016: 537-542. pp 537-542, 2016. doi: 10.18653/v1/P16-2087. PMID: 30636838. PMCID: PMC6327958. 

Batmanghelich N, Dalca A, Quon G, Sabuncu M, Golland P. Probabilistic Modeling of Imaging, Genetics and the Diagnosis. IEEE Transactions on Medical Imaging (TMI), pp 1765-1779, 2016.  doi: 10.1109/TMI.2016.2527784. PMID: 26886973. PMCID: PMC5364030.

2015

Batmanghelich N, Saeedi A, Cho M, Jose R, Golland P. Generative Method to Discover Genetically Driven Image Biomarkers. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 9123, pp 30-42, 2015. PMID: 26221665. PMCID: PMC4527679.

2014

Batmanghelich N, Cho M, Jose R, Golland P. Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. Workshop on Bayesian and Graphical Models for Biomedical imaging, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 8677, pp 107-117, 2014.

Wachinger C, Batmanghelich N, Golland P, Reuter M. BrainPrint in the Computer-Aided Diagnosis of Alzheimer's Disease. Challenge on Computer-Aided Diagnosis of Dementia. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.

2013

Batmanghelich N, Dalca A, Sabuncu M, Golland P. Joint Modeling of Imaging and Genetics. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 7917, pp 766-777, 2013. PMID: 24684016 PMCID: PMC3979537.

2012

Ghanbari Y, Bloy L, Batmanghelich N, Verma R. Dominant Component Analysis of Electro-physiological Connectivity Network. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp 231-238, 2012. PMID: 23286135. PMCID: PMC4029114.

Batmanghelich N, Taskar B, Davatzikos C. Generative-Discriminative Basis Learning for Medical Imaging. IEEE Transactions on Medical Imaging (TMI), 31(1), pp 51-69, 2012. doi: 10.1109/TMI.2011.2162961. PMID: 21791408. PMCID: PMC3402718.

Bloy L, Ingalhalikar M, Batmanghelich N. An integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity. Brain Connectivity, 2(2), pp 69-19, 2012. doi:  10.1089/brain.2011.0070 PMCID: PMC3380149.

2011

Batmanghelich N, Taskar B, Davatzikos C. Regularized Tensor Factorization for Multi-Modality Medical Image Classification. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp 17-24, 2011. PMID: 22003679

Batmanghelich N, Ye D, Taskar B, Davatzikos C. Disease Classification and Prediction via semi-supervised Dimensionality Reduction. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp 1086-1090, 2011. doi: 10.1109/ISBI.2011.5872590

Davatzikos C, Bhatt P, Shaw L, Batmanghelich N, Trojanowski J. Prediction of MCI Conversion via MRI, CSF Biomarkers, and Pattern Classification. Neurobiology of Aging, 32(12), pp 2322.e192322.e27, 2010. PMID: 20594615 PMCID: PMC2951483 DOI: 10.1016/j.neurobiolaging.2010.05.023

2010

Batmanghelich N, Gooya A, Taskar B, Davatzikos C. Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Computer Vision and Pattern Recognition Workshops (CVPRW), pp 146-153, 2010. doi: 10.1109/CVPRW.2010.5543596

2009

Batmanghelich N, Taskar B, Davatzikos C. A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification. International Conference on Information Processing in Medical Imaging (IPMI), LNCS 5636, pp 423-434, 2009. PMID: 19694282

2008

Fan Y, Batmanghelich N, Clark C, Davatzikos C. Spatial Patterns of Brain Atrophy in MCI Patients, Identified via High-dimensional Pattern Classification, Predict Subsequent Cognitive Decline. NeuroImage, 39(4), pp 1731-43, 2008. PMID: 18053747 PMCID: PMC2861339 DOI: 10.1016/j.neuroimage.2007.10.031

Batmanghelich N, Verma R. On Non-linear Characterization of Tissue Abnormality by Constructing Disease Manifolds. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Computer Vision and Pattern Recognition Workshops (CVPRW), pp 1-8, 2008. doi: 10.1109/CVPRW.2008.4563027

2006

Shariatpanahi H, Batmanghelich N, Kermani A, Ahmadabadi M, Soltanian-Zadeh H. Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images. International Joint Conference on Neural Networks (IJCNN), pp 4535-4542, 2006. doi: 10.1109/IJCNN.2006.247079

2005

Batmanghelich N, Soltanian-Zadeh H, Aarabi B. Knowledge-based Segmentation: Using Simultaneous Shape Priori and Histogram Information to Segment Brain Structures. IASTED Conference on Signal and Image Processing, pp 15-17, 2005.

Karimi M, Batmanghelich N, Soltanian-Zadeh H, Lucas C. A 3-D Deformable Surface Method for Automatic Hippocampus-Amygdala Complex Segmentation. IEEE Nuclear Science Symposium Conference Record, 6, pp 3725-3729, 2004. doi: 10.1109/NSSMIC.2004.1466690

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