Erdem Varol

According to our database, Erdem Varol authored at least 29 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Information Processing in Medical Imaging, 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, Erdem Varol

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.

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 M. 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

Medical Image Anal., 2022

Subtyping brain diseases from imaging data.

Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos

CoRR, 2022

2021

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.

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

CoRR, 2021

Neuron matching in C. elegans with robust approximate linear regression without correspondence.

Amin Nejatbakhsh, Erdem Varol

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Three-dimensional spike localization and improved motion correction for Neuropixels recordings.

Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport.

Gonzalo E. Mena, Amin Nejatbakhsh, Erdem Varol, Jonathan Niles-Weed

CoRR, 2020

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases.

Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Statistical Atlas of C. elegans Neurons.

Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Probabilistic Joint Segmentation and Labeling of C. elegans Neurons.

Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution.

Erdem Varol, Amin Nejatbakhsh, Conor McGrory

CoRR, 2019

Wasserstein total variation filtering.

Erdem Varol, Amin Nejatbakhsh

CoRR, 2019

Robust approximate linear regression without correspondence.

Erdem Varol, Amin Nejatbakhsh

CoRR, 2019

Sinkhorn Permutation Variational Marginal Inference.

Gonzalo E. Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

MIDAS: Regionally linear multivariate discriminative statistical mapping.

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos

NeuroImage, 2018

Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging.

Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Regionally discriminative multivariate statistical mapping.

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos

NeuroImage, 2017

2016

Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes.

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier.

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy.

Erdem Varol, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Classifying medical images using morphological appearance manifolds.

Erdem Varol, Bilwaj Gaonkar, Christos Davatzikos

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Feature ranking based nested support vector machine ensemble for medical image classification.

Erdem Varol, Bilwaj Gaonkar, Güray Erus, Robert Schultz, Christos Davatzikos

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012