| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2213 | 2023 |
| Coca: Contrastive captioners are image-text foundation models J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu arXiv preprint arXiv:2205.01917, 2022 | 1330 | 2022 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 619 | 2022 |
| Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in neuroanatomy 9, 152591, 2015 | 383 | 2015 |
| Pali-x: On scaling up a multilingual vision and language model X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ... arXiv preprint arXiv:2305.18565, 2023 | 148 | 2023 |
| Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks M Seyedhosseini, M Sajjadi, T Tasdizen Proceedings of the IEEE international conference on computer vision, 2168-2175, 2013 | 124 | 2013 |
| A workflow for the automatic segmentation of organelles in electron microscopy image stacks AJ Perez, M Seyedhosseini, TJ Deerinck, EA Bushong, S Panda, ... Frontiers in neuroanatomy 8, 126, 2014 | 81 | 2014 |
| A modular hierarchical approach to 3D electron microscopy image segmentation T Liu, C Jones, M Seyedhosseini, T Tasdizen Journal of neuroscience methods 226, 88-102, 2014 | 80 | 2014 |
| Semantic image segmentation with contextual hierarchical models M Seyedhosseini, T Tasdizen IEEE transactions on pattern analysis and machine intelligence 38 (5), 951-964, 2015 | 68 | 2015 |
| Image segmentation using hierarchical merge tree T Liu, M Seyedhosseini, T Tasdizen IEEE transactions on image processing 25 (10), 4596-4607, 2016 | 59 | 2016 |
| Watershed merge tree classification for electron microscopy image segmentation T Liu, E Jurrus, M Seyedhosseini, M Ellisman, T Tasdizen Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 59 | 2012 |
| Coca: Contrastive captioners are image-text foundation models. arXiv 2022 J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu arXiv preprint arXiv:2205.01917 2, 0 | 53 | |
| Detection of neuron membranes in electron microscopy images using multi-scale context and radon-like features M Seyedhosseini, R Kumar, E Jurrus, R Giuly, M Ellisman, H Pfister, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 43 | 2011 |
| Multi-class multi-scale series contextual model for image segmentation M Seyedhosseini, T Tasdizen IEEE transactions on image processing 22 (11), 4486-4496, 2013 | 41 | 2013 |
| Disjunctive normal random forests M Seyedhosseini, T Tasdizen Pattern Recognition 48 (3), 976-983, 2015 | 34 | 2015 |
| Segmentation of mitochondria in electron microscopy images using algebraic curves M Seyedhosseini, MH Ellisman, T Tasdizen 2013 IEEE 10th International Symposium on Biomedical Imaging, 860-863, 2013 | 34 | 2013 |
| Fast adaboost training using weighted novelty selection M Seyedhosseini, ARC Paiva, T Tasdizen The 2011 International Joint Conference on Neural Networks, 1245-1250, 2011 | 27 | 2011 |
| Hybrid patch-based and image-wide classification of confocal laser endomicroscopy images in Barrett's esophagus surveillance E Veronese, E Grisan, G Diamantis, G Battaglia, C Crosta, C Trovato 2013 IEEE 10th international symposium on biomedical imaging, 362-365, 2013 | 22* | 2013 |
| Watershed merge forest classification for electron microscopy image stack segmentation T Liu, M Seyedhosseini, M Ellisman, T Tasdizen 2013 IEEE International Conference on Image Processing, 4069-4073, 2013 | 17 | 2013 |
| Systems and methods for image classification T Tasdizen, M Seyedhosseini US Patent App. 15/017,257, 2017 | 16 | 2017 |
Tolga TasdizenUniversity of UtahVerified email at sci.utah.edu
