Feature ranking based nested support vector machine ensemble for medical image classification. - Erdem Varol; Bilwaj Gaonkar; Güray Erus; Robert Schultz; Christos Davatzikos (ISBI, 2012)

Classifying medical images using morphological appearance manifolds. - Erdem Varol; Bilwaj Gaonkar; Christos Davatzikos (ISBI, 2013)

Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. - Erdem Varol; Christos Davatzikos (MICCAI (2), 2014)

Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. - Erdem Varol; Aristeidis Sotiras; Christos Davatzikos (MICCAI (1), 2015)

Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. - Erdem Varol; Aristeidis Sotiras; Christos Davatzikos (MICCAI (1), 2016)

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. - Erdem Varol; Aristeidis Sotiras; Christos Davatzikos (NeuroImage, 2017)

Regionally discriminative multivariate statistical mapping. - Erdem Varol; Aristeidis Sotiras; Christos Davatzikos (ISBI, 2018)

Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. - Erdem Varol; Aristeidis Sotiras; Ke Zeng; Christos Davatzikos (MICCAI (3), 2018)

MIDAS: Regionally linear multivariate discriminative statistical mapping. - Erdem Varol; Aristeidis Sotiras; Christos Davatzikos (NeuroImage, 2018)

Sinkhorn Permutation Variational Marginal Inference. - Gonzalo E. Mena; Erdem Varol; Amin Nejatbakhsh; Eviatar Yemini; Liam Paninski (AABI, 2019)

Robust approximate linear regression without correspondence. - Erdem Varol; Amin Nejatbakhsh (CoRR, 2019)

Wasserstein total variation filtering. - Erdem Varol; Amin Nejatbakhsh (CoRR, 2019)

Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution. - Erdem Varol; Amin Nejatbakhsh; Conor McGrory (CoRR, 2019)

Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. - Amin Nejatbakhsh; Erdem Varol; Eviatar Yemini; Oliver Hobert; Liam Paninski (MICCAI (5), 2020)

Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. - Amin Nejatbakhsh; Erdem Varol; Eviatar Yemini; Vivek Venkatachalam; Albert Lin; Aravinthan D. T. Samuel; Oliver Hobert; Liam Paninski (MICCAI (5), 2020)

Statistical Atlas of C. elegans Neurons. - Erdem Varol; Amin Nejatbakhsh; Ruoxi Sun 006; Gonzalo E. Mena; Eviatar Yemini; Oliver Hobert; Liam Paninski (MICCAI (5), 2020)

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. - Junhao Wen 002; Erdem Varol; Ganesh B. Chand; Aristeidis Sotiras; Christos Davatzikos (MICCAI (7), 2020)

Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. - Gonzalo E. Mena; Amin Nejatbakhsh; Erdem Varol; Jonathan Niles-Weed (CoRR, 2020)

Decentralized Motion Inference and Registration of Neuropixel Data. - Erdem Varol; Julien Boussard; Nishchal Dethe; Olivier Winter; Anne E. Urai; International Brain Laboratory; Anne Churchland; Nick Steinmetz; Liam Paninski (ICASSP, 2021)

Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. - Bovey Y. Rao; Alexis M. Peterson; Elena K. Kandror; Stephanie Herrlinger; Attila Losonczy; Liam Paninski; Abbas H. Rizvi; Erdem Varol (MICCAI (8), 2021)

Three-dimensional spike localization and improved motion correction for Neuropixels recordings. - Julien Boussard; Erdem Varol; Hyun Dong Lee; Nishchal Dethe; Liam Paninski (NeurIPS, 2021)

Neuron matching in C. elegans with robust approximate linear regression without correspondence. - Amin Nejatbakhsh; Erdem Varol (WACV, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Subtyping brain diseases from imaging data. - Junhao Wen 002; Erdem Varol; Zhijian Yang; Gyujoon Hwang; Dominique Dwyer; Anahita Fathi Kazerooni; Paris Alexandros Lalousis; Christos Davatzikos (CoRR, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. - Shuonan Chen; Bovey Y. Rao; Stephanie Herrlinger; Attila Losonczy; Liam Paninski; Erdem Varol (ICASSP, 2023)

Robust Online Multiband Drift Estimation in Electrophysiology Data. - Charlie Windolf; Angelique C. Paulk; Yoav Kfir; Eric Trautmann; Domokos Meszéna; William Muñoz; Irene Caprara; Mohsen Jamali; Julien Boussard; Ziv M. Williams; Sydney S. Cash; Liam Paninski; et al. (ICASSP, 2023)

Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks. - Amin Nejatbakhsh; Neel Dey; Vivek Venkatachalam; Eviatar Yemini; Liam Paninski; Erdem Varol (IPMI, 2023)

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. - Yizi Zhang; Tianxiao He; Julien Boussard; Charles Windolf; Olivier Winter; Eric Trautmann; Noam Roth; Hailey Barrell; Mark Churchland; Nicholas A. Steinmetz; Erdem Varol; Cole L. Hurwitz; et al. (NeurIPS, 2023)