Hassna Irzan

According to our database, Hassna Irzan authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain.

Hassna Irzan, Michael Hütel, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

Medical Image Anal., February, 2024

2021

White matter analysis of the extremely preterm born adult brain.

Hassna Irzan, Erika Molteni, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

NeuroImage, 2021

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

Medical Image Anal., 2021

Myelination of Preterm Brain Networks at Adolescence.

Beatriz Laureano, Hassna Irzan, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

CoRR, 2020

Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents.

Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth.

Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019

A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents.

Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

A Beating Heart Testbed for the Evaluation of Robotic Cardiovascular Interventions.

Gustaaf J. Vrooijink, Hassna Irzan, Sarthak Misra

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018