| CeleST: Computer Vision Software for Quantitative Analysis of C. elegans Swim Behavior Reveals Novel Features of Locomotion C Restif, C Ibáñez-Ventoso, MM Vora, S Guo, D Metaxas, M Driscoll PLoS computational biology 10 (7), e1003702, 2014 | 123 | 2014 |
| Using the Pn Potts model with learning methods to segment live cell images C Russell, D Metaxas, C Restif, P Torr 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 28 | 2007 |
| Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior PK Thanos, C Restif, JR O’Rourke, CY Lam, D Metaxas Journal of Neural Transmission 124, 3-11, 2017 | 25 | 2017 |
| Tracking the Swimming Motions of C. elegans Worms with Applications in Aging Studies C Restif, D Metaxas Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 23 | 2008 |
| Group sparsity based classification for cervigram segmentation Y Yu, J Huang, S Zhang, C Restif, X Huang, D Metaxas 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 22 | 2011 |
| Segmentation and evaluation of fluorescence microscopy images C Restif Oxford Brookes University, 2006 | 13 | 2006 |
| Revisiting the evaluation of segmentation results: Introducing confidence maps C Restif International Conference on Medical Image Computing and Computer-Assisted …, 2007 | 9 | 2007 |
| Comparison of segmentation methods for cytometric assay C Restif, W Clocksin Medical Image Understanding and Analysis, 153-156, 2004 | 9 | 2004 |
| Information needs for validating evolving software systems: An exploratory study at google A Al-Nayeem, K Ostrowski, S Pueblas, C Restif, S Zhang 2017 IEEE International Conference on Software Testing, Verification and …, 2017 | 8 | 2017 |
| Towards safer, faster prenatal genetic tests: Novel unsupervised, automatic and robust methods of segmentation of nuclei and probes C Restif Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 8 | 2006 |
| Tracking C. elegans swimming for high-throughput phenotyping C Restif, C Ibanez-Ventoso, M Driscoll, D Metaxas 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 7 | 2011 |
| A Classifier for the Latency-CPU Behaviors of Serving Jobs in Distributed Environments C Restif, N Ponomareva, K Ostrowski 2015 IEEE 7th International Conference on Cloud Computing Technology and …, 2015 | 3 | 2015 |
| A comparison of tracking methods for swimming C. elegans C Restif, D Metaxas Medical Imaging 2010: Image Processing 7623, 755-762, 2010 | 2 | 2010 |
| CeleST: computer vision software for quantitative analysis of C. elegans swim C Restif, C Ibánez-Ventoso, MM Vora, S Guo, D Metaxas, M Driscoll Phil. Trans. R. Soc. B 9, 2014 | 1 | 2014 |
| Detecting and Outlining Potential Wildfire Areas via Satellite Imagery M Schlesinger, P Giencke, C Restif, A Hoffman | | 2021 |
| Poster Session IV-Segmentation and Grouping-Towards Safer, Faster Prenatal Genetic Tests: Novel Unsupervised, Automatic and Robust Methods of Segmentation of Nuclei and Probes C Restif Lecture Notes in Computer Science 3954, 437-450, 2006 | | 2006 |
| Mathematical Methods in Biomedical Image Analysis (MMBIA 2007) C Russell, C Restif, PT Metaxas, C Hoogendoorn, FM Sukno, S Ordas, ... | | |
| Imaging system design for detecting small changes in telomere length AJ McCollum, C Restif, WF Clocksin | | |
