| Automatic white blood cell classification using pre-trained deep learning models: Resnet and inception M Habibzadeh, M Jannesari, Z Rezaei, H Baharvand, M Totonchi Tenth international conference on machine vision (ICMV 2017) 10696, 274-281, 2018 | 246 | 2018 |
| Breast cancer histopathological image classification: A deep learning approach MH Motlagh, M Jannesari, HR Aboulkheyr, P Khosravi, O Elemento, ... BioRxiv, 242818, 2018 | 140 | 2018 |
| White blood cell differential counts using convolutional neural networks for low resolution images M Habibzadeh, A Krzyżak, T Fevens International conference on artificial intelligence and soft computing, 263-274, 2013 | 108 | 2013 |
| Breast cancer histopathological image classification: a deep learning approach M Jannesari, M Habibzadeh, HR Aboulkheyr, P Khosravi, O Elemento, ... 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 89 | 2018 |
| Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification M Habibzadeh, A Krzyżak, T Fevens Journal of Theoretical and Applied Computer Science 7 (1), 20-35, 2013 | 61 | 2013 |
| Counting of RBCs and WBCs in noisy normal blood smear microscopic images M Habibzadeh, A Krzyzak, T Fevens, A Sadr Medical Imaging 2011: Computer-Aided Diagnosis 7963, 1009-1019, 2011 | 40 | 2011 |
| Application of pattern recognition techniques for the analysis of thin blood smear images M Habibzadeh, A Krzyżak, T Fevens Journal of Medical Informatics & Technologies 18, 2011 | 28 | 2011 |
| Analysis of white blood cell differential counts using dual-tree complex wavelet transform and support vector machine classifier M Habibzadeh, A Krzyżak, T Fevens International Conference on Computer Vision and Graphics, 414-422, 2012 | 17 | 2012 |
| Comparative study of feature selection for white blood cell differential counts in low resolution images M Habibzadeh, A Krzyżak, T Fevens IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 216-227, 2014 | 12 | 2014 |
| Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. A Krzyzak, T Fevens, M Habibzadeh, L Jelen Computer Recognition Systems 4, 623-644, 2011 | 12 | 2011 |
| Using deep learning methods for discovering associations between drugs and side effects based on topic modeling in social network et al. Behnaz Eslami, Zahra Rezaei, Mehdi Habibzadeh Social Network Analysis and Mining 10 (33), 2020 | 11 | 2020 |
| Artificial intelligence and soft computing M Habibzadeh, A Krzyżak, T Fevens Springer, 2013 | 6 | 2013 |
| Automatic Segmentation and Classification of Red and White Blood cells in Thin Blood Smear Slides M Habibzadeh Concordia University, 2015 | | 2015 |
Thomas FevensProfessor, Department of Computer Science and Software Engineering, Concordia University, MontrealVerified email at cse.concordia.ca
