Proposing a fast circular HOG descriptor for detecting rotated objects. - Junhyuk Hyun; Jeonghyun Baek; Jisu Kim; Peyman Hosseinzajeh Kassani; Euntai Kim (IJCNN, 2015)

Application of soft Histogram of Oriented Gradient on traffic sign detection. - Peyman Hosseinzadeh Kassani; Junhyuk Hyun; Euntai Kim (URAI, 2016)

Pseudoinverse Matrix Decomposition Based Incremental Extreme Learning Machine with Growth of Hidden Nodes. - Peyman Hosseinzadeh Kassani; Euntai Kim (Int. J. Fuzzy Log. Intell. Syst., 2016)

A new sparse model for traffic sign classification using soft histogram of oriented gradients. - Peyman Hosseinzadeh Kassani; Andrew Beng Jin Teoh (Appl. Soft Comput., 2017)

Evolutionary-modified fuzzy nearest-neighbor rule for pattern classification. - Peyman Hosseinzadeh Kassani; Andrew Beng Jin Teoh; Euntai Kim (Expert Syst. Appl., 2017)

Building an Ontology for the Domain of Plant Science using Protégé. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani (CoRR, 2018)

Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Seyed Esmaeel Najafi (CoRR, 2018)

Sparse pseudoinverse incremental extreme learning machine. - Peyman Hosseinzadeh Kassani; Andrew Beng Jin Teoh; Euntai Kim (Neurocomputing, 2018)

Classification of histopathological biopsy images using ensemble of deep learning networks. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (CASCON, 2019)

A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (ICTC, 2019)

Breast Cancer Diagnosis with Transfer Learning and Global Pooling. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (ICTC, 2019)

Diabetic Retinopathy Classification Using a Modified Xception Architecture. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Reza Khazaeinezhad; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (ISSPIT, 2019)

Depthwise Separable Convolutional Neural Network for Skin Lesion Classification. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (ISSPIT, 2019)

k-Relevance Vectors for Pattern Classification. - Peyman Hosseinzadeh Kassani; Sara Hosseinzadeh Kassani (CoRR, 2019)

Automatic Polyp Segmentation Using Convolutional Neural Networks. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (Canadian AI, 2020)

Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. - Peyman Hosseinzadeh Kassani; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (CoRR, 2020)

Multimodal Sparse Classifier for Adolescent Brain Age Prediction. - Peyman Hosseinzadeh Kassani; Alexej Gossmann; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2020)

Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. - Peyman Hosseinzadeh Kassani; Li Xiao 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. - Li Xiao 002; Junqi Wang 001; Peyman Hosseinzajeh Kassani; Yipu Zhang; Yuntong Bai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

k-relevance vectors: Considering relevancy beside nearness. - Sara Hosseinzadeh Kassani; Farhood Rismanchian; Peyman Hosseinzadeh Kassani (Appl. Soft Comput., 2021)

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. - Peyman Hosseinzadeh Kassani; Fred Lu; Yann Le Guen; Zihuai He (CoRR, 2021)

Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models. - Sara Hosseinzadeh Kassani; Peyman Hosseinzadeh Kassani; Michal J. Wesolowski; Kevin A. Schneider; Ralph Deters (Int. J. Medical Informatics, 2022)

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. - Peyman Hosseinzadeh Kassani; Fred Lu; Yann Le Guen; Michaël E. Belloy; Zihuai He (Nat. Mac. Intell., 2022)