Peyman Hosseinzadeh Kassani
Peyman Hosseinzadeh Kassani
Stanford University, Neurology and Neurological Department
Verified email at stanford.edu
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, PH Kassasni, MJ Wesolowski, KA Schneider, R Deters
arXiv preprint arXiv:2004.10641, 2020
522020
A comparative study of deep learning architectures on melanoma detection
SH Kassani, PH Kassani
Tissue and Cell 58, 76-83, 2019
402019
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
302019
A new sparse model for traffic sign classification using soft histogram of oriented gradients
PH Kassani, AB Teoh
Applied Soft Computing 52, 231-246, 2017
222017
Breast cancer diagnosis with transfer learning and global pooling
SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters
2019 International Conference on Information and Communication Technology …, 2019
212019
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
132019
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches
S Hosseinzadeh Kassani, P Hosseinzadeh Kassani, SE Najafi
Academic Journal of Research In Economics and Management 3 (2), 72-80, 2015
13*2015
Sparse pseudoinverse incremental extreme learning machine
PH Kassani, ABJ Teoh, E Kim
Neurocomputing 287, 128-142, 2018
112018
Evolutionary-Modified Fuzzy Nearest-Neighbor Rule for Pattern Classification
Peyman, ABJ Teoh, E Kim
Expert Systems with Applications, 2017
102017
Application of soft Histogram of Oriented Gradient on traffic sign detection
PH Kassani, J Hyun, E Kim
2016 13th International Conference on Ubiquitous Robots and Ambient …, 2016
82016
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification
SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters
arXiv preprint arXiv:1909.11866, 2019
72019
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
72016
Multi-hypergraph learning-based brain functional connectivity analysis in fMRI data
L Xiao, J Wang, PH Kassani, Y Zhang, Y Bai, JM Stephen, TW Wilson, ...
IEEE transactions on medical imaging 39 (5), 1746-1758, 2019
42019
Proposing a GPU based modified fuzzy nearest neighbor rule for traffic sign detection
PH Kassani, J Hyun, E Kim
2015 15th International Conference on Control, Automation and Systems (ICCAS …, 2015
42015
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
22020
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
PH Kassani, A Gossmann, YP Wang
IEEE Journal of Biomedical and Health Informatics, 2019
22019
3D Proposing a Fast Circular HOG Descriptor for Detecting Rotated Objects
J. Hyun, J. Baek, J. Kim, P. H. Kassani and E. Kim
in Proc. of The 2015 International Joint Conference on Neural Networks …, 2015
22015
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
12019
Automatic Polyp Segmentation Using Convolutional Neural Networks
SH Kassani, PH Kassani, MJ Wesolowski, KA Schneider, R Deters
Canadian Conference on Artificial Intelligence, 290-301, 2020
2020
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis
PH Kassani, VD Calhoun, YP Wang
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020
2020
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Articles 1–20