Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mohammad Arafat Hussain"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance images (sMRI) have been correlated with intelligence. However, the population-level association does not fully account for individual variability
Externí odkaz:
https://doaj.org/article/e16e0dc2067048aea379dd76f735efa6
Publikováno v:
Frontiers in Neuroimaging, Vol 3 (2024)
Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic support of human neurocognition. A core mystery is the MRI explanation of individual differences in neurocognition and its manifestation in intelligence. The past four
Externí odkaz:
https://doaj.org/article/f4439ae1e323446f96b8d46c260b0427
The Adolescent Brain Cognitive Development (ABCD) initiative is a longitudinal study aimed at characterizing brain development from childhood through adolescence and identifying key biological and environmental factors that influence this development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8be4f020ab2e5ce12f05f63665a5f3b
https://doi.org/10.1101/2023.02.24.529930
https://doi.org/10.1101/2023.02.24.529930
Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic support of human neurocognition and intelligence. A core mystery is the MRI explanation of individual differences in neurocognition and intelligence. The past four dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6e235df74afc1a329578f80891886f
Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance images (sMRI) have been correlated with intelligence. Nevertheless, population-level association does not fully account for individual variability in inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a121be308dfeb399436f8c6329fe7bbd
https://doi.org/10.1101/2023.02.24.529924
https://doi.org/10.1101/2023.02.24.529924
Monkeypox has emerged as a fast-spreading disease around the world and an outbreak has been reported in 75 countries so far. Although the clinical attributes of Monkeypox are similar to those of Smallpox, skin lesions and rashes caused by Monkeypox o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::596f8a8a3a7f78d47ee3ccd6f283ca6e
https://doi.org/10.1101/2022.08.01.502199
https://doi.org/10.1101/2022.08.01.502199
Autor:
Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 102
Supervised deep learning has become a standard approach to solving medical image segmentation tasks. However, serious difficulties in attaining pixel-level annotations for sufficiently large volumetric datasets in real-life applications have highligh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f23161922d4b2fc7b8facc6befb2b74
https://pubmed.ncbi.nlm.nih.gov/36257092
https://pubmed.ncbi.nlm.nih.gov/36257092
Publikováno v:
IEEE Transactions on Medical Imaging. 40:1555-1567
Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for example, chronic kidney disease. Existing total kidney volume estimation methods often rely on an intermediate kidney segmentation step. On the other hand, automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d895e584605add92c9ec29fd112371
https://doi.org/10.1109/tmi.2021.3060465
https://doi.org/10.1109/tmi.2021.3060465
Autor:
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, Ali Asghar Neshat, Mahmoud Marhamati, Mahdi Bakhtoor, Mohammad Momeny
Publikováno v:
Journal of computational science. 63
Deep convolutional neural networks (CNNs) are used for the detection of COVID-19 in X-ray images. The detection performance of deep CNNs may be reduced by noisy X-ray images. To improve the robustness of a deep CNN against impulse noise, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5acb30063010f13b6d81687fdad7f2fe
https://pubmed.ncbi.nlm.nih.gov/35818367
https://pubmed.ncbi.nlm.nih.gov/35818367
Autor:
Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, Mohammad Arafat Hussain, Khalegh Jafarnezhad, Ahad Jafarnezhad, Mahdi Bakhtoor, Mohammad Momeny
Publikováno v:
Displays. 76:102371
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e1e82e086b04ebb7c35aaf88d20cd8d
https://doi.org/10.1016/j.displa.2023.102371
https://doi.org/10.1016/j.displa.2023.102371