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Nikhil Cherian Kurian
Nikhil Cherian Kurian
Australian Institute for Machine learning, University of Adelaide, IIT Bombay
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
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
1282021
Robust active noise control: An information theoretic learning approach
NC Kurian, K Patel, NV George
Applied Acoustics 117, 180-184, 2017
522017
Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images
D Anand, NC Kurian, S Dhage, N Kumar, S Rane, PH Gann, A Sethi
Journal of pathology informatics 11 (1), 19, 2020
462020
Multi-organ nuclei segmentation and classification challenge 2020
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
IEEE transactions on medical imaging 39 (1380-1391), 8, 2020
402020
Fast, self supervised, fully convolutional color normalization of H&E stained images
A Patil, M Talha, A Bhatia, NC Kurian, S Mangale, S Patel, A Sethi
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1563-1567, 2021
182021
A 2021 update on cancer image analytics with deep learning
N Cherian Kurian, A Sethi, A Reddy Konduru, A Mahajan, SU Rane
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (4 …, 2021
132021
Satellite-derived bathymetry using deep convolutional neural network
B Wilson, NC Kurian, A Singh, A Sethi
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
132020
Sample specific generalized cross entropy for robust histology image classification
NC Kurian, PS Meshram, A Patil, S Patel, A Sethi
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1934-1938, 2021
112021
Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large‐scale studies
G Verghese, M Li, F Liu, A Lohan, NC Kurian, S Meena, P Gazinska, ...
The Journal of pathology 260 (4), 376-389, 2023
82023
Deep multi-scale U-Net architecture and label-noise robust training strategies for histopathological image segmentation
NC Kurian, A Lehan, G Verghese, N Dharamshi, S Meena, M Li, F Liu, ...
2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022
72022
Time frequency analysis: a sparse S transform approach
K Patel, NC Kurian, NV George
2016 International Symposium on Intelligent Signal Processing and …, 2016
52016
Efficient quality control of whole slide pathology images with human-in-the-loop training
A Patil, H Diwakar, J Sawant, NC Kurian, S Yadav, S Rane, T Bameta, ...
Journal of Pathology Informatics 14, 100306, 2023
42023
Cautious artificial intelligence improves outcomes and trust by flagging outlier cases
AS Kanse, NC Kurian, HP Aswani, Z Khan, PH Gann, S Rane, A Sethi
JCO Clinical Cancer Informatics 6, e2200067, 2022
42022
Author’s reply to “MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge”
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
IEEE Transactions on Medical Imaging 41 (4), 1000-1003, 2022
42022
Improved histology image classification under label noise via feature aggregating memory banks
NC Kurian, S Varsha, A Bajpai, S Patel, A Sethi
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
42022
Domain generalisation for mitosis detection exploting preprocessing homogenizers
S Almahfouz Nasser, NC Kurian, A Sethi
International Conference on Medical Image Computing and Computer-Assisted …, 2021
32021
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
RK Gupta, S Nandgaonkar, NC Kurian, S Rane, A Sethi
arXiv preprint arXiv:2208.12506, 2022
22022
Multi-Modal Information Fusion for Classification of Kidney Abnormalities
S Varsha, SA Nasser, G Bala, NC Kurian, A Sethi
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-4, 2022
22022
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction …
M Aubreville, D Zimmerer, M Heinrich
Springer Nature, 2022
22022
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
RK Gupta, NC Kurian, P Jeevan, A Sethi
arXiv preprint arXiv:2307.08132, 2023
12023
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