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Erdem Varol
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2020 – today
- 2023
- [c20]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: 1-5 - [c19]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: 1-5 - [c18]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: 332-343 - [c17]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 - 2022
- [j3]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: 102304 (2022) - [i7]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 abs/2202.10945 (2022) - 2021
- [c16]Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski:
Decentralized Motion Inference and Registration of Neuropixel Data. ICASSP 2021: 1085-1089 - [c15]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: 466-475 - [c14]Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski:
Three-dimensional spike localization and improved motion correction for Neuropixels recordings. NeurIPS 2021: 22095-22105 - [c13]Amin Nejatbakhsh, Erdem Varol:
Neuron matching in C. elegans with robust approximate linear regression without correspondence. WACV 2021: 2836-2845 - [i6]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 abs/2110.11347 (2021) - 2020
- [c12]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: 14-24 - [c11]Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Statistical Atlas of C. elegans Neurons. MICCAI (5) 2020: 119-129 - [c10]Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. MICCAI (5) 2020: 130-140 - [c9]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) 2020: 678-687 - [i5]Gonzalo E. Mena, Amin Nejatbakhsh, Erdem Varol, Jonathan Niles-Weed:
Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. CoRR abs/2006.16548 (2020) - [i4]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR abs/2007.00812 (2020)
2010 – 2019
- 2019
- [c8]Gonzalo E. Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski:
Sinkhorn Permutation Variational Marginal Inference. AABI 2019: 1-9 - [i3]Erdem Varol, Amin Nejatbakhsh:
Robust approximate linear regression without correspondence. CoRR abs/1906.00273 (2019) - [i2]Erdem Varol, Amin Nejatbakhsh:
Wasserstein total variation filtering. CoRR abs/1910.10822 (2019) - [i1]Erdem Varol, Amin Nejatbakhsh, Conor McGrory:
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution. CoRR abs/1912.03463 (2019) - 2018
- [j2]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage 174: 111-126 (2018) - [c7]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Regionally discriminative multivariate statistical mapping. ISBI 2018: 1560-1563 - [c6]Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos:
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) 2018: 540-548 - 2017
- [j1]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage 145: 346-364 (2017) - 2016
- [c5]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) 2016: 300-307 - 2015
- [c4]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) 2015: 702-709 - 2014
- [c3]Erdem Varol, Christos Davatzikos:
Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. MICCAI (2) 2014: 446-453 - 2013
- [c2]Erdem Varol, Bilwaj Gaonkar, Christos Davatzikos:
Classifying medical images using morphological appearance manifolds. ISBI 2013: 744-747 - 2012
- [c1]Erdem Varol, Bilwaj Gaonkar, Güray Erus, Robert Schultz, Christos Davatzikos:
Feature ranking based nested support vector machine ensemble for medical image classification. ISBI 2012: 146-149
Coauthor Index
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