Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging

Autor: Qayyum, Abdul, Razzak, Moona Mazher Imran, Niederer, Steven A

Computer aided pathological analysis has been the gold standard for tumor diagnosis, however domain shift is a significant problem in histopathology. It may be caused by variability in anatomical structures, tissue preparation, and imaging processes

Externí odkaz: http://arxiv.org/abs/2409.15501

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics

Autor: Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser

Publikováno v: Entropy, Vol 24, Iss 12, p 1708 (2022)

To completely comprehend neurodevelopment in healthy and congenitally abnormal fetuses, quantitative analysis of the human fetal brain is essential. This analysis requires the use of automatic multi-tissue fetal brain segmentation techniques. This pa

Externí odkaz: https://doaj.org/article/0338fc8ae8f24cc1b96829a848143fe3

An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence

Autor: Moona Mazher, Azrina Abd Aziz, Aamir Saeed Malik, Hafeez Ullah Amin

Publikováno v: IEEE Access, Vol 5, Pp 14819-14829 (2017)

Assessing cognitive load during a learning phase is important, as it assists to understand the complexity of the learning task. It can help in balancing the cognitive load of postlearning and during the actual task. Here, we used electroencephalograp

Externí odkaz: https://doaj.org/article/47f94ef6567a4cfab3aa71fd360b1cba

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI:The M&Ms challenge

Autor: Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro Queirós, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hullebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stephanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir

Publikováno v: Martin-Isla, C, Campello, V M, Izquierdo, C, Kushibar, K, Sendra-Balcells, C, Gkontra, P, Sojoudi, A, Fulton, M J, Arega, T W, Punithakumar, K, Li, L, Sun, X, Khalil, Y A, Liu, D, Jabbar, S, Queiros, S, Galati, F, Mazher, M, Gao, Z, Beetz, M, Tautz, L, Galazis, C, Varela, M, Hullebrand, M, Grau, V, Zhuang, X, Puig, D, Zuluaga, M A, Mohy-ud-Din, H, Metaxas, D, Breeuwer, M, Geest, R J V D, Noga, M, Bricq, S, Rentschler, M E, Guala, A, Petersen, S E, Escalera, S, Palomares, J F R & Lekadir, K 2023, ' Deep Learning Segmentation of the Right Ventricle in Cardiac MRI : The M &Ms challenge ', IEEE Journal of Biomedical and Health Informatics, pp. 1-14 . https://doi.org/10.1109/JBHI.2023.3267857

In recent years, several deep learning models have been proposed to accurately quantify and diagnose cardiac pathologies. These automated tools heavily rely on the accurate segmentation of cardiac structures in MRI images. However, segmentation of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a6c9c7985326e535eda2261dc13b51
https://vbn.aau.dk/da/publications/12cc1dcd-8442-48eb-99a4-807c7dd00d98

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction

Autor: Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee

Publikováno v: IEEE Journal of Biomedical and Health Informatics. :1-9

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5d2c1ec895fb989875018e5ef75d3a6
https://doi.org/10.1109/jbhi.2022.3219445