Erdem Varol - RankMe

30 papers A* 2A 1Misc 3Journal 10Unranked 14

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. NeurIPS 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
2023	—	`conf`	Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks. IPMI Amin Nejatbakhsh, Neel Dey, Vivek Venkatachalam, Eviatar Yemini, Liam Paninski, Erdem Varol
2023	Misc	`conf`	Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. ICASSP Shuonan Chen, Bovey Y. Rao, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Erdem Varol
2023	Misc	`conf`	Robust Online Multiband Drift Estimation in Electrophysiology Data. ICASSP 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
2022	J	`jnl`	Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 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 Filho Bussato, Benedicto Crespo-Facorro, Rafael Romero-Garcia, 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
2022	J	`jnl`	Subtyping brain diseases from imaging data. CoRR Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos
2021	Misc	`conf`	Decentralized Motion Inference and Registration of Neuropixel Data. ICASSP Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR 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
2021	A	`conf`	Neuron matching in C. elegans with robust approximate linear regression without correspondence. WACV Amin Nejatbakhsh, Erdem Varol
2021	—	`conf`	Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. MICCAI (8) Bovey Y. Rao, Alexis M. Peterson, Elena K. Kandror, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Abbas H. Rizvi, Erdem Varol
2021	A*	`conf`	Three-dimensional spike localization and improved motion correction for Neuropixels recordings. NeurIPS Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski
2020	—	`conf`	Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. MICCAI (5) Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel, Oliver Hobert, Liam Paninski
2020	—	`conf`	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
2020	J	`jnl`	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
2020	—	`conf`	Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. MICCAI (5) Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski
2020	J	`jnl`	Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. CoRR Gonzalo E. Mena, Amin Nejatbakhsh, Erdem Varol, Jonathan Niles-Weed
2020	—	`conf`	Statistical Atlas of C. elegans Neurons. MICCAI (5) Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski
2019	J	`jnl`	Robust approximate linear regression without correspondence. CoRR Erdem Varol, Amin Nejatbakhsh
2019	—	`conf`	Sinkhorn Permutation Variational Marginal Inference. AABI Gonzalo E. Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski
2019	J	`jnl`	Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution. CoRR Erdem Varol, Amin Nejatbakhsh, Conor McGrory
2019	J	`jnl`	Wasserstein total variation filtering. CoRR Erdem Varol, Amin Nejatbakhsh
2018	—	`conf`	Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos
2018	J	`jnl`	MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2018	—	`conf`	Regionally discriminative multivariate statistical mapping. ISBI Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2017	J	`jnl`	HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2016	—	`conf`	Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2015	—	`conf`	Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2014	—	`conf`	Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. MICCAI (2) Erdem Varol, Christos Davatzikos
2013	—	`conf`	Classifying medical images using morphological appearance manifolds. ISBI Erdem Varol, Bilwaj Gaonkar, Christos Davatzikos
2012	—	`conf`	Feature ranking based nested support vector machine ensemble for medical image classification. ISBI Erdem Varol, Bilwaj Gaonkar, Güray Erus, Robert Schultz, Christos Davatzikos