Erdem Varol
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Erdem Varol - Publications

Journal Papers


  1. Varol, E., Sotiras, A., Shinohara, R.T., & Davatzikos, C. Generative discriminative machine. NeuroImage. (In Preparation)

  2. Dong, A., Sotiras, A., Varol, E., Doshi, J., Shinohara, R.T., Davatzikos, C. HELIOS: Parsing the Heterogeneity of Longitudinal Imaging through Integrated Clustering and Spatiotemporally Regularized Spline Curve Fitting. IEEE Transactions on Medical Imaging (In Review)

  3. Varol, E., Sotiras, A., & Davatzikos, C. (2018). MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage, 174, 111-126. (PDF) (Code)

  4. Varol, E., Sotiras, A., Davatzikos, C. and Alzheimer's Disease Neuroimaging Initiative, 2017. HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage, 145, pp.346-364. (PDF) (Code)

  5. Dong, A., Toledo, J.B., Honnorat, N., Doshi, J., Varol, E., Sotiras, A., Wolk, D., Trojanowski, J.Q., Davatzikos, C. and Alzheimer’s Disease Neuroimaging Initiative, 2016. Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers. Brain, 140(3), pp.735-747.

  6. Allen, G.I., Amoroso, N., Anghel, C., Balagurusamy, V., …, Varol, E.,…, Boutros, P.C. and Caberlotto, L., 2016. Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer's & dementia: the journal of the Alzheimer's Association, 12(6), pp.645-653.

  7. Gross, P., Honnorat, N., Varol, E., Wallner, M., Trappanese, D.M., Sharp, T.E., Starosta, T., Duran, J.M., Koller, S., Davatzikos, C. and Houser, S.R., 2016. Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images. Scientific reports, 6, p.23431. (PDF) (Code)

Conference Papers


  1. Varol, E., Sotiras, A., Zeng, K., and Davatzikos, C., 2018, October. Generative discriminative models for multivariate inference and statistical mapping in medical imaging. In International Conference on Medical Image Computing and Computer-Assisted Intervention (To Appear). (Code)

  2. Varol, E., Sotiras, A. and Davatzikos, C., 2018, April. Regionally discriminative multivariate statistical mapping. In Biomedical Imaging (ISBI), 2018 IEEE 15th International Symposium on (To Appear).

  3. Varol, E., Sotiras, A. and Davatzikos, C., 2016, October. Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 300-307).

  4. Varol, E., Sotiras, A. and Davatzikos, C., 2015, October. Disentangling disease heterogeneity with max-margin multiple hyperplane classifier. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 702-709).

  5. Varol, E. and Davatzikos, C., 2014, September. Supervised block sparse dictionary learning for simultaneous clustering and classification in computational anatomy. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 446-453).

  6. Varol, E., Gaonkar, B. and Davatzikos, C., 2013, April. Classifying medical images using morphological appearance manifolds. In Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on (pp. 744-747).

  7. Varol, E., Gaonkar, B., Erus, G., Schultz, R. and Davatzikos, C., 2012, May. Feature ranking based nested support vector machine ensemble for medical image classification. In Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on (pp. 146-149).

Book Chapters


  1. Sotiras, A., Gaonkar, B., Eavani, H., Honnorat, N., Varol, E., Dong, A. and Davatzikos, C., 2016. Machine learning as a means toward precision diagnostics and prognostics. In Machine Learning and Medical Imaging (pp. 299-334).

Theses


  1. Varol, E., Advancing statistical inference for population studies in neuroimaging using machine learning, Doctoral Thesis, Department of Electrical and Systems Engineering, University of Pennsylvania, 2018. (PDF)

  2. Varol, E., Generative discriminative models for multivariate inference and statistical mapping in medical imaging, Masters Thesis, Department of Statistics, Wharton School, University of Pennsylvania, 2018.