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Amir Moslemi

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Computers in Biology and Medicine|November 11, 2023
Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasetsAmir Moslemi, Arash Ahmadian
Computers in Biology and Medicine|December 15, 2024
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selectionAmir Moslemi, Fariborz Baghaei Naeini
Computers in Biology and Medicine|August 3, 2023
Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selectionAmir Moslemi, Mahdi Bidar, Arash Ahmadian
Medical Physics|September 4, 2025
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysisAmir Moslemi, Aryan Safakish, Lakshmanan Sannachi, et al.
The European Respiratory Journal|February 25, 2022
Differentiating COPD and asthma using quantitative CT imaging and machine learningAmir Moslemi, Konstantina Kontogianni, Judith Brock, et al.
Cancers|September 13, 2025
Hybrid Feature Selection for Predicting Chemotherapy Response in Locally Advanced Breast Cancer Using Clinical and CT Radiomics Features: Integration of Matrix Rank and Genetic AlgorithmAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Medical Physics|September 22, 2025
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selectionAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Academic Radiology|April 16, 2024
Classifying Future Healthcare Utilization in COPD Using Quantitative CT Lung Imaging and Two-Step Feature Selection via Sparse Subspace Learning with the CanCOLD StudyAmir Moslemi, Cameron J Hague, James C Hogg, et al.
Academic Radiology|August 14, 2022
Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic FeaturesKalysta Makimoto, Ryan Au, Amir Moslemi, et al.
Academic Radiology|June 11, 2022
Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPDAmir Moslemi, Kalysta Makimoto, Wan C Tan, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|November 11, 2023
Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasetsAmir Moslemi, Arash Ahmadian
Computers in Biology and Medicine|December 15, 2024
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selectionAmir Moslemi, Fariborz Baghaei Naeini
Computers in Biology and Medicine|August 3, 2023
Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selectionAmir Moslemi, Mahdi Bidar, Arash Ahmadian
Medical Physics|September 4, 2025
Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysisAmir Moslemi, Aryan Safakish, Lakshmanan Sannachi, et al.
The European Respiratory Journal|February 25, 2022
Differentiating COPD and asthma using quantitative CT imaging and machine learningAmir Moslemi, Konstantina Kontogianni, Judith Brock, et al.
Cancers|September 13, 2025
Hybrid Feature Selection for Predicting Chemotherapy Response in Locally Advanced Breast Cancer Using Clinical and CT Radiomics Features: Integration of Matrix Rank and Genetic AlgorithmAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Medical Physics|September 22, 2025
Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selectionAmir Moslemi, Laurentius Oscar Osapoetra, Aryan Safakish, et al.
Academic Radiology|April 16, 2024
Classifying Future Healthcare Utilization in COPD Using Quantitative CT Lung Imaging and Two-Step Feature Selection via Sparse Subspace Learning with the CanCOLD StudyAmir Moslemi, Cameron J Hague, James C Hogg, et al.
Academic Radiology|August 14, 2022
Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic FeaturesKalysta Makimoto, Ryan Au, Amir Moslemi, et al.
Academic Radiology|June 11, 2022
Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPDAmir Moslemi, Kalysta Makimoto, Wan C Tan, et al.
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