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Peyman Hosseinzadeh Kassani
Peyman Hosseinzadeh Kassani
Children Hospital of Orange County (CHOC)
Verified email at choc.org
Title
Cited by
Cited by
Year
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
3582021
A comparative study of deep learning architectures on melanoma detection
SH Kassani, PH Kassani
Tissue and Cell 58, 76-83, 2019
2062019
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
1652019
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
1482019
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
902019
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
512019
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
492019
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
342017
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
322022
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
242015
Sparse pseudoinverse incremental extreme learning machine
PH Kassani, ABJ Teoh, E Kim
Neurocomputing 287, 128-142, 2018
182018
Evolutionary-Modified Fuzzy Nearest-Neighbor Rule for Pattern Classification
P H.Kassani, ABJ Teoh, E Kim
Expert Systems with Applications, 2017
152017
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
P H. Kassani, A Gossmann, YP Wang
IEEE Journal of Biomedical and Health Informatics, 2019
142019
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
122019
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
122016
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
102020
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
102020
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
102020
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
102019
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
82019
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