Emma C. Robinson
Scholar

Emma C. Robinson

Google Scholar ID: WXAAOb0AAAAJ
Kings College London
Medical Image Computingconnectomicsregistration
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Citations & Impact
All-time
Citations
10,936
 
H-index
34
 
i10-index
50
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
4 items
PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
2025
Cited
0
NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg
2025
Cited
0
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories
2025
Cited
0
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
2025
Cited
0
Resume (English only)
Background
  • Writes software for processing and analyzing brain imaging data, with a specific focus on connectomics research. Developed highly customizable cortical surface registration software, allowing alignment to be driven using any type of data that can be projected onto the cortical surface.
Miscellany
  • Personal blog: https://emmarobinson01.wordpress.com/
Co-authors
17 total
Matthew F. Glasser
Matthew F. Glasser
Departments of Radiology and Neuroscience, Washington University Medical School
Daniel Rueckert
Daniel Rueckert
Technical University of Munich and Imperial College London
Co-author 3
Co-author 3
David C Van Essen
David C Van Essen
Alumni Endowed Professor of Neurobiology, Washington University in St Louis
Co-author 5
Co-author 5
Logan Z. J. Williams
Logan Z. J. Williams
Biomedical Engineering & Imaging Science, King's College London
Co-author 7
Co-author 7
Co-author 8
Co-author 8