Gopakumar G
Gopakumar G
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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
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
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
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 143, 104403, 2023
Recursive block based keypoint matching for copy move image forgery detection
SS Narayanan, G Gopakumar
2020 11th International conference on computing, communication and …, 2020
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
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
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
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
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
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
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
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
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
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
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
Domain adaptation: A survey
A Ajith, G Gopakumar
Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, 591-602, 2023
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
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
Haze removal using generative Adversarial Network
A Sanjay, JJ Nair, G Gopakumar
Advances in Computing and Network Communications: Proceedings of CoCoNet …, 2021
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