Zobrazeno 1 - 10
of 47
pro vyhledávání: '"R. Salmanpour"'
Autor:
Mahdi Hosseinzadeh, Arman Gorji, Ali Fathi Jouzdani, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour
Publikováno v:
Diagnostics, Vol 13, Iss 10, p 1691 (2023)
Background: We aimed to predict Montreal Cognitive Assessment (MoCA) scores in Parkinson’s disease patients at year 4 using handcrafted radiomics (RF), deep (DF), and clinical (CF) features at year 0 (baseline) applied to hybrid machine learning sy
Externí odkaz:
https://doaj.org/article/0836cff9b03e475ba147d54e25c0be4f
Publikováno v:
Diagnostics, Vol 13, Iss 10, p 1696 (2023)
Background: Although handcrafted radiomics features (RF) are commonly extracted via radiomics software, employing deep features (DF) extracted from deep learning (DL) algorithms merits significant investigation. Moreover, a “tensor’’ radiomics
Externí odkaz:
https://doaj.org/article/3dd3a91e876a446e8727290a0bce30f5
Publikováno v:
International Journal of Imaging Systems and Technology.
Autor:
Mohammad R. Salmanpour, Mojtaba Shamsaei, Ghasem Hajianfar, Hamid Soltanian-Zadeh, Arman Rahmim
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: We employed machine learning approaches to (I) determine distinct progression trajectories in Parkinson’s disease (PD) (unsupervised clustering task), and (II) predict progression trajectories (supervised prediction task), from early (y
Autor:
Mohammad R Salmanpour, Mahya Bakhtiyari, Mahdi Hosseinzadeh, Mehdi Maghsudi, Fereshteh Yousefirizi, Mohammad M Ghaemi, Arman Rahmim
Publikováno v:
Physics in medicine and biology.
Objectives. Parkinson’s disease (PD) is a complex neurodegenerative disorder, affecting 2%–3% of the elderly population. Montreal Cognitive Assessment (MoCA), a rapid nonmotor screening test, assesses different cognitive dysfunctionality aspects.
Autor:
Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, Mohammad R. Salmanpour, Jieqin Lv, HuiQin Wu, WenTao Zhu, Habib Zaidi, Lijun Lu, Arman Rahmim
Purpose To evaluate the impact of harmonization and oversampling methods on multi-center imbalanced datasets, with specific application to PET-based radiomics modeling for histologic subtype prediction in non-small cell lung cancer (NSCLC). Methods T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee6daeabb8ad4843f41ed1be99b02612
https://doi.org/10.21203/rs.3.rs-2393890/v1
https://doi.org/10.21203/rs.3.rs-2393890/v1
Autor:
Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031274190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::930abc6d24473ff3470e8d9b7a540fee
https://doi.org/10.1007/978-3-031-27420-6_23
https://doi.org/10.1007/978-3-031-27420-6_23
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031274190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca4a99ae3fd32e41c051ca73766674b
https://doi.org/10.1007/978-3-031-27420-6_7
https://doi.org/10.1007/978-3-031-27420-6_7
Autor:
Abdollah Saberi, Mohammad R. Salmanpour, Mojtaba Shamsaei, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim, Jing Tang
Publikováno v:
Physica Medica. 69:233-240
Purpose It is vital to appropriately power clinical trials towards discovery of novel disease-modifying therapies for Parkinson’s disease (PD). Thus, it is critical to improve prediction of outcome in PD patients. Methods We systematically probed a
Autor:
Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Ghaemi, Arman Rahmim
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030982522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::982e3d5df157380d2c1a4dd31448460e
https://doi.org/10.1007/978-3-030-98253-9_19
https://doi.org/10.1007/978-3-030-98253-9_19