Alexandra L. Young

24 papers A* 1Journal 11Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data.
CoRR
Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij, Daniel C. Alexander, Alexandra L. Young, Esther E. Bron
2025 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2025 J jnl
Parsimonious EBM: Generalising the event-based model of disease progression for simultaneous events.
NeuroImage
C. S. Parker, Neil Oxtoby, Alexandra L. Young, Dc Alexander, H. Zhang
2023 — conf
Subtype and Stage Inference with Timescales.
IPMI
Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, Peter A. Wijeratne
2023 J jnl
Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage
Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann
2022 — conf
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
MICAD
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2022 J jnl
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2021 J jnl
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.
Frontiers Big Data
Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi
2021 J jnl
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell.
Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander
2021 J jnl
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.
SoftwareX
Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
CoRR
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 — conf
Disease Knowledge Transfer Across Neurodegenerative Diseases.
MICCAI (2)
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander
2019 J jnl
Disease Knowledge Transfer across Neurodegenerative Diseases.
CoRR
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander
2019 — conf
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
IPMI
Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander
2019 — conf
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
PRIME@MICCAI
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander
2018 — conf
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain.
MICCAI (3)
Konstantinos Georgiadis, Alexandra L. Young, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan M. Schott, Sébastien Ourselin, Jason D. Warren, Marc Modat
2017 — conf
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
IPMI
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander
2017 — —
Modelling progression and heterogeneity in Alzheimer's disease.
Alexandra L. Young
2016 A* conf
The Role of ICT in Office Work Breaks.
CHI
Anya Skatova, Ben Bedwell, Victoria Shipp, Yitong Huang, Alexandra L. Young, Tom Rodden, Emma Bertenshaw
2015 J jnl
A simulation system for biomarker evolution in neurodegenerative disease.
Medical Image Anal.
Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander
2015 — conf
Multiple Orderings of Events in Disease Progression.
IPMI
Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander
2015 — conf
The Role of Accidental Self-Reflection in Wearable Camera Research.
MobileHCI Adjunct
Alexandra L. Young, Anya Skatova, Benjamin Bedwell, Tom Rodden, Victoria Shipp
2014 — conf
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.
BAMBI
Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, Pankaj Daga, David M. Cash, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander