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Gopakumar G
Gopakumar G
Verified email at am.amrita.edu - Homepage
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Year
Convolutional neural network‐based malaria diagnosis from focus stack of blood smear images acquired using custom‐built slide scanner
GP Gopakumar, M Swetha, G Sai Siva, GRK Sai Subrahmanyam
Journal of biophotonics 11 (3), e201700003, 2018
1372018
Cytopathological image analysis using deep-learning networks in microfluidic microscopy
G Gopakumar, KH Babu, D Mishra, SS Gorthi, GRKS Subrahmanyam
JOSA A 34 (1), 111-121, 2017
272017
Glaucoma detection from retinal fundus images
R Krishnan, V Sekhar, J Sidharth, S Gautham, G Gopakumar
2020 International Conference on Communication and Signal Processing (ICCSP …, 2020
222020
Recursive block based keypoint matching for copy move image forgery detection
SS Narayanan, G Gopakumar
2020 11th International conference on computing, communication and …, 2020
152020
An Improved Random Forest Algorithm for classification in an imbalanced dataset
GG Christy Jose
2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), 1-4, 2019
152019
Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study
L Murali, G Gopakumar, DM Viswanathan, P Nedungadi
Journal of biomedical informatics, 104403, 2023
142023
Framework for morphometric classification of cells in imaging flow cytometry
G Gopakumar, VK Jagannadh, SS Gorthi, GRKS Subrahmanyam
Journal of Microscopy 261 (3), 307-319, 2016
132016
Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening
VK Jagannadh, G Gopakumar, GRKS Subrahmanyam, SS Gorthi
Medical & Biological Engineering & Computing 55, 711-718, 2017
112017
Semantic segmentation of spectral images: A comparative study using FCN8s and U-NET on RIT-18 dataset
AS Darshik, A Dev, M Bharath, BA Nair, G Gopakumar
2020 11th International Conference on Computing, Communication and …, 2020
102020
Deep learning applications to cytopathology: a study on the detection of malaria and on the classification of Leukaemia cell-lines
G Gopakumar, GRK Sai Subrahmanyam
Handbook of deep learning applications, 219-257, 2019
82019
Automatic detection of Malaria infected RBCs from a focus stack of bright field microscope slide images
G Gopakumar, M Swetha, GS Siva, GRKS Subrahmanyam
Proceedings of the tenth Indian conference on computer vision, graphics and …, 2016
82016
Predicting covid-19 positive cases and analysis on the relevance of features using shap (shapley additive explanation)
MNS Choudary, VB Bommineni, G Tarun, GP Reddy, G Gopakumar
2021 Second International Conference on Electronics and Sustainable …, 2021
72021
Improved transfer learning through shallow network embedding for classification of leukemia cells
KS Kalmady, AS Kamath, G Gopakumar, GRKS Subrahmanyam, ...
2017 ninth international conference on advances in pattern recognition …, 2017
72017
Performance analysis of deep learning architectures for super resolution
DP Nair, AM John, ERA Varshini, D Arunima, G Gopakumar
Journal of Physics: Conference Series 1917 (1), 012002, 2021
62021
Speech Emotion Recognition Using Machine Learning Techniques
S Sasidharan Rajeswari, G Gopakumar, M Nair
Congress on Intelligent Systems: Proceedings of CIS 2020, Volume 2, 169-178, 2021
52021
Saliency and ballness driven deep learning framework for cell segmentation in bright field microscopic images
SB Asha, G Gopakumar, GRKS Subrahmanyam
Engineering Applications of Artificial Intelligence 118, 105704, 2023
42023
An improved intrusion detection system based on kdd dataset using feature ranking and data sampling
M Hooda, J Babu, PS Vamsi, G Gopakumar
2020 International Conference on Communication and Signal Processing (ICCSP …, 2020
42020
Copy-Move Forgery Detection Using K-Means and Hu’s Invariant Moments
N Harshith, D Sindhuja, C Raghava Reddy, A Deepthi, G GopaKumar
International Conference on Innovative Computing and Communications …, 2022
32022
Face Recognition at varying angles from distant CCTV Footage using Siamese Architecture
A Stalin, A Sha, AS Kumar, S Nandakumar, G Gopakumar
2022 3rd International Conference For Emerging Technology (INCET), 1-6, 2022
32022
Breast mass classification using classic neural network architecture and support vector machine
R Priya, V Sreelekshmi, JJ Nair, G Gopakumar
Advances in Computing and Network Communications: Proceedings of CoCoNet …, 2021
32021
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