Priya Lakshmi Narayanan
Priya Lakshmi Narayanan
Post Doctoral Fellow, The Institute of Cancer Research, London, UK
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MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
ConCORDe-Net: cell count regularized convolutional neural network for cell detection in multiplex immunohistochemistry images
YB Hagos, PL Narayanan, AU Akarca, T Marafioti, Y Yuan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Proliferation Tumour Marker Network (PTM-NET) for the identification of tumour region in Ki67 stained breast cancer whole slide images
J Joseph, MP Roudier, PL Narayanan, R Augulis, VR Ros, A Pritchard, ...
Scientific reports 9 (1), 12845, 2019
Unmasking the immune microecology of ductal carcinoma in situ with deep learning
PL Narayanan, SEA Raza, AH Hall, JR Marks, L King, RB West, ...
NPJ breast cancer 7 (1), 19, 2021
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
PL Narayanan, SEA Raza, A Dodson, B Gusterson, M Dowsett, Y Yuan
arXiv preprint arXiv:1806.10850, 2018
Unmasking the tissue microecology of ductal carcinoma in situ with deep learning
PL Narayanan, SE Ahmed Raza, AH Hall, JR Marks, L King, RB West, ...
BioRxiv, 812735, 2019
Improved segmentation of cerebellar structures in children
PL Narayanan, C Warton, NR Boonzaier, CD Molteno, J Joseph, ...
Journal of neuroscience methods 262, 1-13, 2016
Development of a tool for automatic segmentation of the cerebellum in MR images of children
PL Narayanan
Multi-class distance regularized dense inception network (m-DRDIN)
H Zhang, PL Narayanan, J Law, Y Yuan
Development of a semi-automated tool for the parcellation of the cerebellum on MR images of children
PL Narayanan
Comparison of Volumes of Cerebellar Lobules on Structural MRI Using Manual and Automatic Segmentation in Normal and Alcohol-Exposed Children
PL Narayanan, C Warton, SW Jacobson, JL Jacobson, CD Molteno, ...
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