Summary
I am an Imperial College Research Fellow at the Depts. of Computing and Medicine and founder of the Deep Learning Toolkit (DLTK) for medical imaging.
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More resources:
Twitter link
Google Scholar link
Personal Github link
BioMedIA Github link
Advanced Segmentation Tools (ASETS) website .
Publications
Journals
Zabihollahy F, Rajchl M, White JA, et al., 2020, Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net), Medical Physics, Vol:47, ISSN:0094-2405, Pages:1645-1655
Meng Q, Zimmer V, Hou B, et al., 2019, Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging, Ieee Transactions on Medical Imaging, Vol:38, ISSN:0278-0062, Pages:2755-2767
Conference
Wang C, Rajchl M, Chan ADC, et al., 2019, An ensemble of U-Net architecture variants for left atrial segmentation, Conference on Medical Imaging - Computer-Aided Diagnosis, SPIE-INT SOC OPTICAL ENGINEERING, ISSN:0277-786X
Biffi C, Oktay O, Tarroni G, et al., 2018, Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling, International Conference On Medical Image Computing & Computer Assisted Intervention, Springer, Pages:464-471, ISSN:0302-9743
Meng Q, Baumgartner C, Sinclair M, et al., 2018, Automatic shadow detection in 2D ultrasound images, International Workshop on Preterm, Perinatal and Paediatric Image Analysis, Pages:66-75, ISSN:0302-9743