Browse by UCL people
Group by: Type | Date
Number of items: 10.
Article
Hazem, SR;
Awan, M;
Lavrador, JP;
Patel, S;
Wren, HM;
Lucena, O;
Semedo, C;
... Vergani, F; + view all
(2021)
Middle Frontal Gyrus and Area 55b: Perioperative Mapping and Language Outcomes.
Frontiers in Neurology
, 12
, Article 646075. 10.3389/fneur.2021.646075.
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Irzan, H;
Pozzi, M;
Chikhladze, N;
Cebanu, S;
Tadevosyan, A;
Calcii, C;
Tsiskaridze, A;
... Molteni, E; + view all
(2022)
Emerging Treatments for Disorders of Consciousness in Paediatric Age.
Brain Sciences
, 12
(2)
, Article 198. 10.3390/brainsci12020198.
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Irzan, H;
Molteni, E;
Hütel, M;
Ourselin, S;
Marlow, N;
Melbourne, A;
(2021)
White matter analysis of the extremely preterm born adult brain.
Neuroimage
, 237
, Article 118112. 10.1016/j.neuroimage.2021.118112.
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Schirmer, MD;
Venkataraman, A;
Rekik, I;
Kim, M;
Mostofsky, S;
Nebel, MB;
Rosch, K;
... Chung, AW; + view all
(2021)
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
Medical Image Analysis
, 70
, Article 101972. 10.1016/j.media.2021.101972.
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Proceedings paper
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Irzan, H;
Fidon, L;
Vercauteren, T;
Ourselin, S;
Marlow, N;
Melbourne, A;
(2020)
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth.
In:
International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging International. Workshop on Graphs in Biomedical Image Analysis.
(pp. pp. 164-173).
Springer: Cham, Switzerland.
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Irzan, H;
Hütel, M;
Semedo, C;
O'Reilly, H;
Sahota, M;
Ourselin, S;
Marlow, N;
(2020)
A network-based analysis of the preterm adolescent brain using PCA and graph theory.
In: Bonet-Carne, E and Hutter, J and Palombo, M and Pizzolato, M and Sepehrband, F and Zhang, F, (eds.)
Computational Diffusion MRI.
(pp. pp. 173-181).
Springer: Shenzhen, China.
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Irzan, H;
O'Reilly, H;
Ourselin, S;
Marlow, N;
Melbourne, A;
(2019)
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents.
In:
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
(pp. pp. 400-403).
IEEE: Venice, Italy.
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Irzan, H;
O’Reilly, H;
Ourselin, S;
Marlow, N;
Melbourne, A;
(2020)
Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents.
In: Hu, Y and Licandro, R and Noble, JA and Hutter, J and Aylward, S and Melbourne, A and Abaci Turk, E and Torrents Barrena, J, (eds.)
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis.
(pp. pp. 315-323).
Springer: Lima, Peru.
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Laureano, B;
Irzan, H;
Ourselin, S;
Marlow, N;
Melbourne, A;
(2021)
Myelination of Preterm Brain Networks at Adolescence.
In: Sudre, CH and Licandro, R and Baumgartner, C and Melbourne, A and Dalca, A and Hutter, J and Tanno, R and Abaci Turk, E and Van Leemput, K and Torrents Barrena, J and Wells, WM and Macgowan, C, (eds.)
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis. UNSURE 2021, PIPPI 2021.
(pp. pp. 179-188).
Springer: Cham, Switzerland.
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Thesis
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Irzan, Hassna;
(2022)
Neuroimaging characterisation of the extreme preterm phenotype at adolescence.
Doctoral thesis (Ph.D), UCL (University College London).
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