Erdem Varol

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 27

Top Topics

Matrix Factorization

Dictionary Learning

Simultaneous Clustering

Top Venues

Publications

Shuonan Chen, Bovey Y. Rao, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Erdem Varol
Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. ICASSP (2023)
Amin Nejatbakhsh, Neel Dey, Vivek Venkatachalam, Eviatar Yemini, Liam Paninski, Erdem Varol
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks. IPMI (2023)
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, Erdem Varol
Robust Online Multiband Drift Estimation in Electrophysiology Data. ICASSP (2023)
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, Liam Paninski
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. NeurIPS (2023)
Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos
Subtyping brain diseases from imaging data. CoRR (2022)
Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75 (2022)
Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski
Three-dimensional spike localization and improved motion correction for Neuropixels recordings. NeurIPS (2021)
Amin Nejatbakhsh, Erdem Varol
Neuron matching in C. elegans with robust approximate linear regression without correspondence. WACV (2021)
Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski
Decentralized Motion Inference and Registration of Neuropixel Data. ICASSP (2021)
Bovey Y. Rao, Alexis M. Peterson, Elena K. Kandror, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Abbas H. Rizvi, Erdem Varol
Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. MICCAI (8) (2021)
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR (2021)
Gonzalo E. Mena, Amin Nejatbakhsh, Erdem Varol, Jonathan Niles-Weed
Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. CoRR (2020)
Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) (2020)
Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel, Oliver Hobert, Liam Paninski
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. MICCAI (5) (2020)
Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski
Statistical Atlas of C. elegans Neurons. MICCAI (5) (2020)
Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. MICCAI (5) (2020)
Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR (2020)
Erdem Varol, Amin Nejatbakhsh, Conor McGrory
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution. CoRR (2019)
Gonzalo E. Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski
Sinkhorn Permutation Variational Marginal Inference. AABI (2019)
Erdem Varol, Amin Nejatbakhsh
Robust approximate linear regression without correspondence. CoRR (2019)
Erdem Varol, Amin Nejatbakhsh
Wasserstein total variation filtering. CoRR (2019)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Regionally discriminative multivariate statistical mapping. ISBI (2018)
Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) (2018)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage 174 (2018)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage 145 (2017)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) (2016)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) (2015)
Erdem Varol, Christos Davatzikos
Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. MICCAI (2) (2014)
Erdem Varol, Bilwaj Gaonkar, Christos Davatzikos
Classifying medical images using morphological appearance manifolds. ISBI (2013)
Erdem Varol, Bilwaj Gaonkar, Güray Erus, Robert Schultz, Christos Davatzikos
Feature ranking based nested support vector machine ensemble for medical image classification. ISBI (2012)