Erdem Varol
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
3
Active years
2014–2023
Best venue rank
A
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | Robust Online Multiband Drift Estimation in Electrophysiology Data. | Charlie Windolf, Angelique C. Paulk, Yoav Kfir, Eric Trautmann, Domokos Meszna, William Muoz, Irene Caprara, Mohsen Jamali, Julien Boussard, Ziv M. Williams, Sydney S. Cash, Liam Paninski, Erdem Varol |
| 2021 | ICASSP | 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 |
| 2021 | MICCAI | 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 |
| 2021 | WACV | Neuron matching in C. elegans with robust approximate linear regression without correspondence. | Amin Nejatbakhsh, Erdem Varol |
| 2020 | MICCAI | Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. | Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Statistical Atlas of C. elegans Neurons. | Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski |
| 2020 | MICCAI | MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. | Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos |
| 2018 | MICCAI | Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. | Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos |
| 2016 | MICCAI | Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. | Erdem Varol, Aristeidis Sotiras, Christos Davatzikos |
| 2015 | MICCAI | Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. | Erdem Varol, Aristeidis Sotiras, Christos Davatzikos |
| 2014 | MICCAI | Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy. | Erdem Varol, Christos Davatzikos |