Peyman Hosseinzadeh Kassani

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 28

Top Topics

Extreme Learning Machine

Convolutional Neural Networks

Cancer Diagnosis

Top Venues

Appl. Soft Comput.

Publications

Peyman Hosseinzadeh Kassani, Fred Lu, Yann Le Guen, Michaël E. Belloy, Zihuai He
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. Nat. Mac. Intell. 4 (9) (2022)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models. Int. J. Medical Informatics 159 (2022)
Peyman Hosseinzadeh Kassani, Fred Lu, Yann Le Guen, Zihuai He
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. CoRR (2021)
Sara Hosseinzadeh Kassani, Farhood Rismanchian, Peyman Hosseinzadeh Kassani
-relevance vectors: Considering relevancy beside nearness. Appl. Soft Comput. 112 (2021)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality based Feature Fusion for Brain Neuro-Developmental Analysis. CoRR (2020)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. IEEE Trans. Medical Imaging 39 (11) (2020)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Automatic Polyp Segmentation Using Convolutional Neural Networks. Canadian Conference on AI (2020)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach. CoRR (2020)
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Peyman Hosseinzadeh Kassani, Vince D. Calhoun, Yu-Ping Wang
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Automatic Polyp Segmentation Using Convolutional Neural Networks. CoRR (2020)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Reza Khazaeinezhad, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Diabetic Retinopathy Classification Using a Modified Xception Architecture. ISSPIT (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Breast Cancer Diagnosis with Transfer Learning and Global Pooling. ICTC (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Classification of histopathological biopsy images using ensemble of deep learning networks. CASCON (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification. ICTC (2019)
Peyman Hosseinzadeh Kassani, Sara Hosseinzadeh Kassani
k-Relevance Vectors for Pattern Classification. CoRR (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification. CoRR (2019)
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. CoRR (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks. CoRR (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Depthwise Separable Convolutional Neural Network for Skin Lesion Classification. ISSPIT (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
Breast Cancer Diagnosis with Transfer Learning and Global Pooling. CoRR (2019)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Seyed Esmaeel Najafi
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches. CoRR (2018)
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani
Building an Ontology for the Domain of Plant Science using Protégé. CoRR (2018)
Peyman Hosseinzadeh Kassani, Andrew Beng Jin Teoh, Euntai Kim
Sparse pseudoinverse incremental extreme learning machine. Neurocomputing 287 (2018)
Peyman Hosseinzadeh Kassani, Andrew Beng Jin Teoh, Euntai Kim
Evolutionary-modified fuzzy nearest-neighbor rule for pattern classification. Expert Syst. Appl. 88 (2017)
Peyman Hosseinzadeh Kassani, Andrew Beng Jin Teoh
A new sparse model for traffic sign classification using soft histogram of oriented gradients. Appl. Soft Comput. 52 (2017)
Peyman Hosseinzadeh Kassani, Euntai Kim
Pseudoinverse Matrix Decomposition Based Incremental Extreme Learning Machine with Growth of Hidden Nodes. Int. J. Fuzzy Log. Intell. Syst. 16 (2) (2016)
Peyman Hosseinzadeh Kassani, Junhyuk Hyun, Euntai Kim
Application of soft Histogram of Oriented Gradient on traffic sign detection. URAI (2016)