2019
Generative-Discriminative Complementary Learning
Y. Xu*, M. Gong*, J. Chen, T. Liu, K. Zhang, K. Batmanghelich (*: equal contribution)
to appear in proceeding of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping
H. Fu*, M. Gong*, C. Wang, K. Batmanghelich, K. Zhang, D. Tao (*: equal contribution)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Twin Auxiliary Classifiers GAN
M.*, Y. Xu*, Ch. Li, Kun Zhang, K. Batmanghelich (*: equal contribution)
NeurIPS 2019 [Spotlight 2.4%]
Weakly Supervised Disentanglement by Pairwise Similarities
J. Chen, K. Batmanghelich
to appear in proceeding of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)
Generative Interpretability: Application in Disease Subtyping
P. Yadollahpour, A. Saeedi, S. Singla, F. C. Sciurba, K. Batmanghelich
Submitted to IEEE Transaction of Medical Imaging
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement
J. Chen, K. Batmanghelich
Preprint: arXiv:1910.05898
Explanation by Progressive Exaggeration
S. Singla, B. Pollack, J. Chen, K. Batmanghelich
Unpaired Data Empowers Association Tests
M. Gong, P. Liu, F. C Sciurba, P. Stojanov, D. Tao, G. Tseng, K. Zhang, K. Batmanghelich
Preprint: bioRxiv DOI:10.1101/839159
2018
Deep Diffeomorphic Normalizing Flows
H. Salman, P. Yadollahpour, T. Fletcher, K. Batmanghelich
Preprint: arXiv:1810.03256
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption
X. Yu, T. Liu, M. Gong, K. Batmanghelich, D. Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
H. Fu, M. Gong, C. Wang, K. Batmanghelich, D. Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection
Y.D. Cid, K. Batmanghelich, H. Müller
International Conference of the Cross-Language Evaluation Forum for European Languages
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector
S. Singla, M. Gong, S. Ravanbakhsh, F. Sciurba, B. Poczos, K. N. Batmanghelich
Medical Image Computing & Computer Assisted Intervention
A structural equation model for imaging genetics using spatial transcriptomics
S. M. H. Huisman, A. Mahfouz, K. Batmanghelich, B. P. F. Lelieveldt, M. J. T. Reinders
Causal Generative Domain Adaptation Networks
M. Gong, K. Zhang, B. Huang, C. Glymour, D. Tao, K. Batmanghelich
Preprint: arXiv:1804.04333
2017
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies
J. Schabdach, S. Wells, M. Cho, N. Batmanghelich
Information Processing in Medical Imaging (IPMI)
Transformations Based on Continuous Piecewise-Affine Velocity Fields
O. Freifeld, S. Hauberg, J. Fisher III, N. Batmanghelich
IEEE Transactions on Pattern Analysis and Machine Intelligence
2016
Nonparametric Spherical Topic Modeling with Word Embeddings
N. Batmanghelich, A. Saeediy, K. Narasimhan, S. Gershman
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL)
Inferring Disease Status by non-Parametric Probabilistic Embedding
N. Batmanghelich, A. Saeedi, R. J. Estepar, M. Cho, S. Wells
Workshop on Medical Computer Vision: Algorithms for Big Data (MCV)
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
P. Binder N. Batmanghelich, R. J. Estepar, P. Golland
7th International Workshop on Machine Learning in Medical Imaging (MLMI)
Probabilistic Modeling of Imaging, Genetics and the Diagnosis
K.N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland
2015
Highly-Expressive Spaces of Well- Behaved Transformations: Keeping It Simple
O. Freifeld, S. Hauberg, N. Batmanghelich
Proceedings of the IEEE International Conference on Computer Vision (ICCV)
Generative Method to Discover Genetically Driven Image Biomarkers
K.N. Batmanghelich*, A. Saeedi*, M. Cho, R. Jose, P. Golland
In Proc. IPMI: International Conference on Information Processing and Medical Imaging
2014
Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies
K.N. Batmanghelich, M. Cho, R. Jose, P. Golland
In Proc. BAMBI: Workshop on Bayesian and Graphical Models for Biomedical imaging, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Diversifying Sparsity Using Variational Determinantal Point Processes
K.N. Batmanghelich, G. Quon, A. Kuleza, M. Kellis, P. Golland, L. Bornn
BrainPrint in the Computer-Aided Diagnosis of Alzheimer's Disease
C. Wachinger, K. Batmanghelich, P. Golland, M. Reuter
Challenge on Computer-Aided Diagnosis of Dementia, MICCAI, 2014
2013
Joint Modeling of Imaging and Genetics
K.N. Batmanghelich, A.V. Dalca, M.R. Sabuncu, P. Golland
In Proc. IPMI: International Conference on Information Processing and Medical Imaging
2012
Dominant Component Analysis of Electro- physiological Connectivity Network
Y. Ghanbari, L. Bloy, N. Batmanghelich, R. Verma
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
An integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity
L. Bloy, M. Ingalhalikar, N. Batmanghelich
Generative-Discriminative Basis Learning for Medical Imaging
N. Batmanghelich, B. Taskar, C. Davatzikos
2011
Disease Classification and Prediction via Semi-Supervised Dimensionality Reduction
N. Batmanghelich, D. Ye, K. Pohl, B. Taskar, C. Davatzikos
ISBI 2011 (Oral Presentation)
Regularized Tensor Factorization for Multi-Modality Medical Image Classification
N. Batmanghelich, B. Taskar, C. Davatzikos
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)
2010
Application of Trace-Norm and Low-Rank Matrix Decomposition for Computational Anatomy
N. Batmanghelich, A. Gooya, B. Taskar, C. Davatzikos
IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10)
Prediction of MCI Conversion via MRI, CSF Biomarkers, and Pattern Classification
C. Davatzikos, P. Bhatt, L. Shaw, N. Batmanghelich, J. Trojanowski
2009
A General and Unifying Framework for Feature Construction. in Image-Based Pattern Classification
N. Batmanghelich, B. Taskar, C. Davatzikos
20th International Conference on Information Processing in Medical Imaging (IPMI)
Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection
Y.D. Cid, K. Batmanghelich, H. Müller
International Conference of the Cross-Language Evaluation Forum for European Languages
Spatial Patterns of Brain Atrophy in MCI Patients, Identified via High-dimensional Pattern Classification, Predict Subsequent Cognitive Decline
Y. Fan, N. Batmanghelich, C. Clark, C. Davatzikos