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Amirhessam Tahmassebi

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Structural Target Controllability of Brain Networks in DementiaAmirhessam Tahmassebi, Uwe Meyer-Baese, Anke Meyer-Baese
Plos One|September 20, 2018
Multi-stage optimization of a deep model: A case study on ground motion modelingAmirhessam Tahmassebi, Amir H Gandomi, Simon Fong, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 1, 2020
AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application PrimerAnke Meyer-Base, Lia Morra, Amirhessam Tahmassebi, et al.
Environmental Research|September 12, 2022
XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditionsElika Karbassiyazdi, Fatemeh Fattahi, Negin Yousefi, et al.
Investigative Radiology|October 26, 2018
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer PatientsAmirhessam Tahmassebi, Georg J Wengert, Thomas H Helbich, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Structural Target Controllability of Brain Networks in DementiaAmirhessam Tahmassebi, Uwe Meyer-Baese, Anke Meyer-Baese
Plos One|September 20, 2018
Multi-stage optimization of a deep model: A case study on ground motion modelingAmirhessam Tahmassebi, Amir H Gandomi, Simon Fong, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 1, 2020
AI-Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application PrimerAnke Meyer-Base, Lia Morra, Amirhessam Tahmassebi, et al.
Environmental Research|September 12, 2022
XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditionsElika Karbassiyazdi, Fatemeh Fattahi, Negin Yousefi, et al.
Investigative Radiology|October 26, 2018
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer PatientsAmirhessam Tahmassebi, Georg J Wengert, Thomas H Helbich, et al.
Pageof 1