Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Md Mahfuzur Rahman Siddiquee"'
Autor:
Jay Shah, Md Mahfuzur Rahman Siddiquee, Janina Krell-Roesch, Jeremy A. Syrjanen, Walter K. Kremers, Maria Vassilaki, Erica Forzani, Teresa Wu, Yonas E. Geda
Publikováno v:
Journal of Alzheimer's Disease. 92:1131-1146
There is a growing interest in the application of machine learning (ML) in Alzheimer’s disease (AD) research. However, neuropsychiatric symptoms (NPS), frequent in subjects with AD, mild cognitive impairment (MCI), and other related dementias have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d66ef23610300a417b69866746a1ad
https://doi.org/10.3233/jad-221261
https://doi.org/10.3233/jad-221261
Autor:
Md Mahfuzur Rahman Siddiquee, Jay Shah, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Baoxin Li, Teresa Wu, Todd J Schwedt
Publikováno v:
Brain Communications. 5
Data-driven machine-learning methods on neuroimaging (e.g. MRI) are of great interest for the investigation and classification of neurological diseases. However, traditional machine learning requires domain knowledge to delineate the brain regions fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c6a7b4ef21e91a09654dd82f163024c
https://doi.org/10.1093/braincomms/fcac311
https://doi.org/10.1093/braincomms/fcac311
Autor:
Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Publikováno v:
Medical Image Analysis. 88:102833
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f007603cdf11b26b77ba6213bfb7b2
https://doi.org/10.1016/j.media.2023.102833
https://doi.org/10.1016/j.media.2023.102833
Autor:
Firas Al-Hindawi, Tejaswi Soori, Han Hu, Md. Mahfuzur Rahman Siddiquee, Hyunsoo Yoon, Teresa Wu, Ying Sun
The detection of critical heat flux (CHF) is crucial in heat boiling applications as failure to do so can cause rapid temperature ramp leading to device failures. Many machine learning models exist to detect CHF, but their performance reduces signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0946cc4ff5011e411f9683a72acd0f54
Publikováno v:
Simulation and Synthesis in Medical Imaging ISBN: 9783031169793
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a80c73f9df038ffecd1c4d6e8040072
https://doi.org/10.1007/978-3-031-16980-9_5
https://doi.org/10.1007/978-3-031-16980-9_5
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620bf4d90f8e4db26e81f69dc6c782ba
https://doi.org/10.1007/978-3-031-09002-8_15
https://doi.org/10.1007/978-3-031-09002-8_15
Autor:
Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang
Semantic segmentation of 3D medical images is a challenging task due to the high variability of the shape and pattern of objects (such as organs or tumors). Given the recent success of deep learning in medical image segmentation, Neural Architecture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9046235a97928a33d89670378aa0d135