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Peyman Hosseinzadeh Kassani
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2020 – today
- 2022
- [j10]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: 104669 (2022) - [j9]Peyman Hosseinzadeh Kassani
, Fred Lu, Yann Le Guen
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. Nat. Mac. Intell. 4(9): 761-771 (2022) - 2021
- [j8]Sara Hosseinzadeh Kassani
k-relevance vectors: Considering relevancy beside nearness. Appl. Soft Comput. 112: 107762 (2021) - [i11]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 abs/2109.14719 (2021) - 2020
- [j7]Peyman Hosseinzadeh Kassani
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. IEEE J. Biomed. Health Informatics 24(2): 336-344 (2020) - [j6]Li Xiao
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. IEEE Trans. Medical Imaging 39(5): 1746-1758 (2020) - [j5]Peyman Hosseinzadeh Kassani
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. IEEE Trans. Medical Imaging 39(11): 3290-3299 (2020) - [c9]Sara Hosseinzadeh Kassani
Automatic Polyp Segmentation Using Convolutional Neural Networks. Canadian AI 2020: 290-301 - [c8]Peyman Hosseinzadeh Kassani, Vince D. Calhoun
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131706 - [i10]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 abs/2001.08173 (2020) - [i9]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 abs/2004.10641 (2020) - [i8]Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
Automatic Polyp Segmentation Using Convolutional Neural Networks. CoRR abs/2004.10792 (2020)
2010 – 2019
- 2019
- [c7]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: 92-99 - [c6]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: 271-276 - [c5]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: 519-524 - [c4]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: 1-6 - [c3]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: 1-6 - [i7]Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang:
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. CoRR abs/1904.01070 (2019) - [i6]Peyman Hosseinzadeh Kassani, Sara Hosseinzadeh Kassani:
k-Relevance Vectors for Pattern Classification. CoRR abs/1909.08528 (2019) - [i5]Sara Hosseinzadeh Kassani
Breast Cancer Diagnosis with Transfer Learning and Global Pooling. CoRR abs/1909.11839 (2019) - [i4]Sara Hosseinzadeh Kassani
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification. CoRR abs/1909.11866 (2019) - [i3]Sara Hosseinzadeh Kassani
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks. CoRR abs/1909.11870 (2019) - 2018
- [j4]Peyman Hosseinzadeh Kassani, Andrew Beng Jin Teoh
Sparse pseudoinverse incremental extreme learning machine. Neurocomputing 287: 128-142 (2018) - [i2]Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani:
Building an Ontology for the Domain of Plant Science using Protégé. CoRR abs/1810.04606 (2018) - [i1]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 abs/1810.05524 (2018) - 2017
- [j3]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: 231-246 (2017) - [j2]Peyman Hosseinzadeh Kassani, Andrew Beng Jin Teoh, Euntai Kim:
Evolutionary-modified fuzzy nearest-neighbor rule for pattern classification. Expert Syst. Appl. 88: 258-269 (2017) - 2016
- [j1]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): 125-130 (2016) - [c2]Peyman Hosseinzadeh Kassani, Junhyuk Hyun, Euntai Kim:
Application of soft Histogram of Oriented Gradient on traffic sign detection. URAI 2016: 388-392 - 2015
- [c1]Junhyuk Hyun, Jeonghyun Baek, Jisu Kim, Peyman Hosseinzajeh Kassani, Euntai Kim:
Proposing a fast circular HOG descriptor for detecting rotated objects. IJCNN 2015: 1-6
Coauthor Index
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