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Esmaeil Shakeri
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2020 – today
- 2024
- [c7]Mahmood Khalghollah, Esmaeil Shakeri, Azam Zare, Behrouz H. Far, Amir Sanati-Nezhad:
Fluid Path Detection Model for Lab on a Chip Images Using Deep Learning-Based Segmentation Approach. FLAIRS 2024 - 2023
- [j1]Esmaeil Shakeri
, Trafford Crump, Ezekiel Weis, Emad Mohammed, Roberto Souza, Behrouz H. Far:
Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. SN Comput. Sci. 4(5): 433 (2023) - [c6]Esmaeil Shakeri, Emad Mohammed, Trafford Crump, Ezekiel Weis, Carol L. Shields, Sandor R. Ferenczy, Behrouz H. Far:
Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis. IRI 2023: 215-220 - 2022
- [c5]Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Roberto Souza, Behrouz Homayoun Far:
Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection. IRI 2022: 166-171 - [c4]Esmaeil Shakeri, Anja Slama, Roberto Souza, Behrouz Homayoun Far:
COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing. IRI 2022: 178-183 - 2021
- [c3]Esmaeil Shakeri, Emad A. Mohammed, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far:
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. EMBC 2021: 2472-2475 - [c2]Emad A. Mohammed, Esmaeil Shakeri, Zahra Shakeri Hossein Abad, Trafford Crump, Behrouz H. Far:
Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method. IRI 2021: 334-341 - 2020
- [c1]Esmaeil Shakeri, Behrouz H. Far:
Exploring the requirements of pandemic awareness systems: a case study of COVID-19 using social media data. ASE Workshops 2020: 33-40
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