Kayhan Batmanghelich

Assistant Professor
Department of Biomedical Informatics
 
Room 531
5607 Baum Blvd, Suite 500
Pittsburgh, PA 15206-3701
Phone: 412-648-9037
Admin Support: Noreen Doloughty

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I am an Assistant Professor of Department of Biomedical Informatics and Intelligent Systems Program with secondary appointments in the Computer Science and Electrical Engineering Departments at the University of Pittsburgh and an adjunct faculty in the Machine Learning Department at the Carnegie Mellon University. My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical image along with genetic data and other electrical health records such as the clinical report. For example, we are developing a probabilistic model to extract information from brain images (Magnetic Resonance Images) of patients with Alzheimer's disease and relate them the underlying genetic markers involved in the disease. We are interested in method development as well as translational clinical problems because after all, exciting research directions are coming from real applications. Read More

News

09/15/18: Our collaborative proposal with Suvrit Sra (MIT) received $600K from the NSF Division of Mathematical Sciences
06/18/18: Mingming's team won the single image depth prediction competition in Robust Vision Challenge 2018!
05/09/18: We are awarded a large R01 ($2.8M with indirect) to develop an approach to integrate Radiomic data with Genetic for characterization of Chronic Obstructive Pulmonary Disease (COPD).
04/29/18: Congratulations to Sumedha for the Early Acceptance of her first paper to MICCAI!
04/27/18: We are awarded $390K to develop methods for multimodal learning in collaboration with SAP research.
02/19/18: Congratulations to Mingming Gong--two CVPR papers have been accepted!
05/12/17: Congrats to Yashin! A coalition of the BatmanLab (ourLab) and MedGIFT won the tuberculosis Multi-drug resistance competition.

Positions Available

LOOKING FOR POSTDOC: I am hiring a post-doc for an exciting imaging-genetic project. Please send me your application if you are interested (see the job ad for detail).
LOOKING FOR PHD: I am also hiring a graduate student through Intelligent Systems Program and Computer Science. Contact me if you would like to do research in machine learning with applications in healthcare. Please make sure your email contains CV, BS transcript (and MS if applicable), link to GitHub repo, and a representative manuscript.  

Lab Members

Post Doctoral Researchers:   Mingming Gong, Payman Yadollahpour, Junxiang ChenBrian Pollack (co-advised by Dr. Visweswaran)

Graduate Students Researchers:  Sumedha Singla, Ke Yu (co-advised by Dr. Visweswaran)

Visiting Researchers: Yanwu Xu

Selected Publications

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
[abs] [pdf]

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)
[abs] [pdf]

Probabilistic Modeling of Imaging, Genetics and the Diagnosis
K.N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland
IEEE Trans Med Imaging
[abs] [pdf]

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)
[abs] [pdf]

Publications

2018

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
[abs] [pdf]

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
Brain Informatics
[abs] [pdf]

Causal Generative Domain Adaptation Networks
M. Gong, K. Zhang, B. Huang, C. Glymour, D. Tao, K. Batmanghelich
arXiv:1804.04333
[abs] [pdf]

Deep Diffeomorphic Normalizing Flows
H. Salman, P. Yadollahpour, T. Fletcher, K. Batmanghelich
arXiv:1810.03256
[abs] [pdf]

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption
X. Yu, T. Liu, M. Gong, K. Batmanghelich, D. Tao
CVPR
[abs] [pdf]

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)
[abs] [pdf]

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
[abs] [pdf]

2017

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
[abs] [pdf]

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)
[abs] [pdf]

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)
[abs] [pdf]

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)
[abs] [pdf]

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)
[abs] [pdf]

Probabilistic Modeling of Imaging, Genetics and the Diagnosis
K.N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland
IEEE Trans Med Imaging
[abs] [pdf]

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)
[abs] [pdf]

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
[abs] [pdf]

2014

Diversifying Sparsity Using Variational Determinantal Point Processes
K.N. Batmanghelich, G. Quon, A. Kuleza, M. Kellis, P. Golland, L. Bornn
In Proc. ArXiv
[abs] [pdf]

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
[abs] [pdf]

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)
[abs] [pdf]

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
[abs] [pdf]

2012

Generative-Discriminative Basis Learning for Medical Imaging
N. Batmanghelich, B. Taskar, C. Davatzikos
IEEE Trans Med Imaging
[abs] [pdf]

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)
[abs] [pdf]

An integrated Framework for High Angular Resolution Diffusion Imaging-Based Investigation of Structural Connectivity
L. Bloy, M. Ingalhalikar, N. Batmanghelich
Brain Connectivity
[abs] [pdf]

2011

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)
[abs] [pdf]

Disease Classification and Prediction via Semi-Supervised Dimensionality Reduction
N. Batmanghelich, D. Ye, K. Pohl, B. Taskar, C. Davatzikos
ISBI 2011 (Oral Presentation)
[abs] [pdf]

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)
[abs] [pdf]

Prediction of MCI Conversion via MRI, CSF Biomarkers, and Pattern Classification
C. Davatzikos, P. Bhatt, L. Shaw, N. Batmanghelich, J. Trojanowski
Neurobiology of Aging
[abs] [pdf]

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)
[abs] [pdf]

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
[abs] [pdf]

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
NeuroImage
[abs] [pdf]