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.
Google Scholar link
Personal Github link
BioMedIA Github link
Advanced Segmentation Tools (ASETS) website .
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
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
et al., 2022, LINKING HISTOLOGICAL GLIOBLASTOMA PHENOTYPES TO TRANSCRIPTIONAL SUBTYPES AND PROGNOSIS USING DEEP LEARNING, 27th Annual Scientific Meeting and Education Day of the Society-for-Neuro-Oncology (SNO), OXFORD UNIV PRESS INC, Pages:118-119, ISSN:1522-8517
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
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