Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: a machine learning based approach SH Kassani, P H. Kassani, MJ Wesolowski, KA Schneider, R Deters Biocybernetics and Biomedical Engineering 41 (3), 867-879, 2021 | 384 | 2021 |
A comparative study of deep learning architectures on melanoma detection SH Kassani, PH Kassani Tissue and Cell 58, 76-83, 2019 | 217 | 2019 |
Diabetic retinopathy classification using a modified xception architecture SH Kassani, PH Kassani, R Khazaeinezhad, MJ Wesolowski, ... 2019 IEEE international symposium on signal processing and information …, 2019 | 181 | 2019 |
Classification of histopathological biopsy images using ensemble of deep learning networks SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters arXiv preprint arXiv:1909.11870, 2019 | 154 | 2019 |
Breast cancer diagnosis with transfer learning and global pooling SH Kassani, P H. Kassani, MJ Wesolowski, KA Schneider, R Deters 2019 International Conference on Information and Communication Technology …, 2019 | 95 | 2019 |
Multi-hypergraph learning-based brain functional connectivity analysis in fMRI data L Xiao, J Wang, P H. Kassani, Y Zhang, Y Bai, JM Stephen, TW Wilson, ... IEEE transactions on medical imaging 39 (5), 1746-1758, 2019 | 58 | 2019 |
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification S H. Kassani, P H. Kassani, MJ Wesolowski, KA Schneider, R Deters arXiv preprint arXiv:1909.11866, 2019 | 53 | 2019 |
Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters International Journal of Medical Informatics 159, 104669, 2022 | 38 | 2022 |
A new sparse model for traffic sign classification using soft histogram of oriented gradients P H. Kassani, AB Teoh Applied Soft Computing 52, 231-246, 2017 | 35 | 2017 |
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches S H. Kassani, P H. Kassani, SE Najafi Academic Journal of Research In Economics and Management 3 (2), 72-80, 2015 | 25 | 2015 |
Sparse pseudoinverse incremental extreme learning machine PH Kassani, ABJ Teoh, E Kim Neurocomputing 287, 128-142, 2018 | 20 | 2018 |
Multimodal Sparse Classifier for Adolescent Brain Age Prediction P H. Kassani, A Gossmann, YP Wang IEEE Journal of Biomedical and Health Informatics, 2019 | 18 | 2019 |
Evolutionary-Modified Fuzzy Nearest-Neighbor Rule for Pattern Classification P H.Kassani, ABJ Teoh, E Kim Expert Systems with Applications, 2017 | 15 | 2017 |
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks. arXiv 2019 S H. Kassani, P H. Kassani, MJ Wesolowski, KA Schneider, R Deters arXiv preprint arXiv:1909.11870, 2019 | 12 | 2019 |
Pseudoinverse Matrix Decomposition Based Incremental Extreme Learning Machine with Growth of Hidden Nodes PH Kassani, E Kim International Journal of Fuzzy Logic and Intelligent Systems 16 (2), 125-130, 2016 | 12 | 2016 |
Automatic detection of coronavirus disease (covid-19) in x-ray and ct images: A machine learning-based approach (2020) S H. Kassani, P H. Kassani, MJ Wesolowski, KA Schneider, R Deters arXiv preprint arXiv:2004.10641, 2020 | 11 | 2020 |
Automatic polyp segmentation using convolutional neural networks S Hosseinzadeh Kassani, P Hosseinzadeh Kassani, MJ Wesolowski, ... Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 10 | 2020 |
Causality based Feature Fusion for Brain Neuro-Developmental Analysis PH Kassani, L Xiao, G Zhang, JM Stephen, TW Wilson, VD Calhoun, ... IEEE Transactions on Medical Imaging, 2020 | 10 | 2020 |
Depthwise separable convolutional neural network for skin lesion classification SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters 2019 IEEE International Symposium on Signal Processing and Information …, 2019 | 10 | 2019 |
Classification of histopathological biopsy images using ensemble of deep learning networks. arXiv SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters arXiv preprint arXiv:1909.11870, 2019 | 8 | 2019 |