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 | 117 | 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 | 29 | 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 | 23 | 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 | 17 | 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 | 16 | 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 | 7 | 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 | 5 | 2016 |
Development of a tool for automatic segmentation of the cerebellum in MR images of children PL Narayanan | | 2015 |
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, ... | | |