Blockchain Access Control Ecosystem for Big Data Security. - Uchi Ugobame Uchibeke; Kevin A. Schneider; Sara Hosseinzadeh Kassani; Ralph Deters (iThings/GreenCom/CPSCom/SmartData, 2018)

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

Leveraging protection and efficiency of query answering in heterogenous RDF data using blockchain. - Sara Hosseinzadeh Kassani; Ralph Deters (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)

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)

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. - Sara Mardanisamani; Farhad Maleki; Sara Hosseinzadeh Kassani; Sajith Rajapaksa; Hema Sudhakar Duddu; Menglu Wang 001; Steve Shirtliffe; Seungbum Ryu; Anique Josuttes; Ti Zhang; Sally Vail; Curtis Pozniak; et al. (CVPR Workshops, 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)

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)

Access Control Management for Computer-Aided Diagnosis Systems using Blockchain. - Mayra Samaniego; Sara Hosseinzadeh Kassani; Cristian Espana; Ralph Deters (CoRR, 2020)

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