Venkatesan Rajinikanth

35 papers Journal 21Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
A novel coarse-to-fine computational method for three-dimensional landmark detection to perform hard-tissue cephalometric analysis.
Expert Syst. J. Knowl. Eng.
Kusum Yadav, Kawther A. Al-Dhlan, Hamad Alreshidi, Gaurav Dhiman, Wattana Viriyasitavat, Abdullah Zaid Almankory, Kadiyala Ramana, S. Vimal, Venkatesan Rajinikanth
2024 J jnl
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.
Expert Syst. J. Knowl. Eng.
Joel Koh En Wei, Venkatesan Rajinikanth, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan, Aditya P. Kamath, Giliyar Muralidhar Bairy, Prabal Datta Barua, Kang Hao Cheong
2024 J jnl
Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network.
Int. J. Interact. Multim. Artif. Intell.
M. Akshay Kumaar, Duraimurugan Samiayya, Venkatesan Rajinikanth, P. M. Durai Raj Vincent, Seifedine Kadry
2024 J jnl
Correction: Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features.
J. Ambient Intell. Humaniz. Comput.
Seifedine Nimer Kadry, V. Elizabeth Jessy, Venkatesan Rajinikanth, Rubén González Crespo
2023 — conf
Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+.
MIKE
Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth
2023 J jnl
Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features.
J. Ambient Intell. Humaniz. Comput.
Seifedine Kadry, V. Elizabeth Jessy, Venkatesan Rajinikanth, Rubén González Crespo
2023 — conf
Automatic liver-vessel examination from CT slice using Kapur's thresholding and watershed algorithm.
ICMLDE
Seifedine Nimer Kadry, Laith Abualigah, Rubén González Crespo, Elena Verdú, Robertas Damasevicius, Vijendra Singh, Venkatesan Rajinikanth
2023 — conf
CNN segmentation of skin melanoma in pre-processed dermoscopy images.
ICMLDE
Seifedine Nimer Kadry, Elena Verdú, Robertas Damasevicius, Laith Abualigah, Vijendra Singh, Venkatesan Rajinikanth
2023 — conf
COVID19 detection in chest x-ray using vision-transformer with different patch dimensions.
ICMLDE
Seifedine Nimer Kadry, Laith Abualigah, Rubén González Crespo, Elena Verdú, Robertas Damasevicius, Vijendra Singh, Venkatesan Rajinikanth
2023 — conf
Classification of Real and Deepfakes Visual Samples with Pre-trained Deep Learning Models.
ICACDS
Marriam Nawaz, Ali Javed, Tahira Nazir, Muhammad Attique Khan, Venkatesan Rajinikanth, Seifedine Nimer Kadry
2023 — conf
Efficient Chest X-Ray Investigation Using Firefly Algorithm Optimized Deep and Handcrafted Features.
MIKE
Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth
2023 J jnl
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas.
Int. J. Imaging Syst. Technol.
Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya
2023 J jnl
Framework to Detect Schizophrenia in Brain MRI Slices with Mayfly Algorithm-Selected Deep and Handcrafted Features.
Sensors
K. Suresh Manic, Venkatesan Rajinikanth, Ali Saud Al-Bimani, David Taniar, Seifedine Kadry
2023 — conf
Plant Disease Classification Using VGG-19 Based Faster-RCNN.
ICACDS
Marriam Nawaz, Tahira Nazir, Muhammad Attique Khan, Venkatesan Rajinikanth, Seifedine Nimer Kadry
2023 J jnl
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features.
Int. J. Interact. Multim. Artif. Intell.
Venkatesan Rajinikanth, Seifedine Kadry, Pablo Moreno-Ger
2022 J jnl
Automated segmentation of leukocyte from hematological images - a study using various CNN schemes.
J. Supercomput.
Seifedine Kadry, Venkatesan Rajinikanth, David Taniar, Robertas Damasevicius, Xiomara Patricia Blanco-Valencia
2022 J jnl
COVID-19 Classification Using Medical Image Synthesis by Generative Adversarial Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
R. Nandhini Abirami, P. M. Durai Raj Vincent, Venkatesan Rajinikanth, Seifedine Kadry
2021 — conf
Assessment of Brain Tumor in Flair MRI Slice with Joint Thresholding and Segmentation.
MIKE
Seifedine Nimer Kadry, David Taniar, Maytham N. Meqdad, Gautam Srivastava, Venkatesan Rajinikanth
2021 — conf
Automatic Detection of Breast Cancer in Thermal Images using Optimal Handcrafted Features.
ICCTA
Seifedine Kadry, Venkatesan Rajinikanth, Susmitha Dasari, T. Suvathi
2021 J jnl
Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices.
Inf. Technol. Control.
Venkatesan Rajinikanth, Seifedine Nimer Kadry, Yunyoung Nam
2021 J jnl
Deep Learning Framework to Detect Ischemic Stroke Lesion in Brain MRI Slices of Flair/DW/T1 Modalities.
Symmetry
Venkatesan Rajinikanth, Shabnam Mohamed Aslam, Seifedine Nimer Kadry
2021 J jnl
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices.
Appl. Intell.
Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, Venkatesan Rajinikanth, Tapan Kumar Gandhi
2021 — conf
Detection of Diabetic Macular Edema in Retinal OCT Images with Firefly-Algorithm Selected Features.
ICCTA
Seifedine Kadry, Venkatesan Rajinikanth, Jiny Mariam Jerry, R. Carolin Gifta
2021 J jnl
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis.
Int. J. Data Warehous. Min.
Venkatesan Rajinikanth, Seifedine Nimer Kadry
2021 — conf
Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class.
MIKE
Seifedine Nimer Kadry, Venkatesan Rajinikanth, Gautam Srivastava, Maytham N. Meqdad
2021 — conf
Tuberculosis Detection from Chest Radiographs with Pre-trained Deep Learning Scheme: A Study.
ICCTA
Seifedine Kadry, Venkatesan Rajinikanth, A. Chandrasekar, R. Nandhini Abirami
2020 — ch.
Classification of Melanoma Through Fused Color Features and Deep Neural Networks.
Information Technology and Intelligent Transportation Systems
Ananjan Maiti, Himadri Shekhargiri, Biswajoy Chatterjee, Venkatesan Rajinikanth, Fuqian Shi, Nilanjan Dey
2020 J jnl
Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection.
IEEE Access
Muhammad Attique Khan, Seifedine Nimer Kadry, Majed Alhaisoni, Yunyoung Nam, Yudong Zhang, Venkatesan Rajinikanth, Muhammad Shahzad Sarfraz
2020 J jnl
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class.
CoRR
Seifedine Nimer Kadry, Venkatesan Rajinikanth, Seungmin Rho, Nadaradjane Sri Madhava Raja, Vaddi Seshagiri Rao, Krishnan Palani Thanaraj
2020 — ch.
Image Examination System to Detect Gastric Polyps from Endoscopy Images.
Information Technology and Intelligent Transportation Systems
Nilanjan Dey, Fuqian Shi, Venkatesan Rajinikanth
2019 J jnl
A Hybrid Framework to Evaluate Breast Abnormality Using Infrared Thermal Images.
IEEE Consumer Electron. Mag.
Steven Lawrence Fernandes, Venkatesan Rajinikanth, Seifedine Nimer Kadry
2019 J jnl
Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network.
Appl. Soft Comput.
Yu Wang, Yating Chen, Ningning Yang, Longfei Zheng, Nilanjan Dey, Amira S. Ashour, Venkatesan Rajinikanth, João Manuel R. S. Tavares, Fuqian Shi
2018 J jnl
An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model.
Future Gener. Comput. Syst.
Venkatesan Rajinikanth, Nilanjan Dey, Suresh Chandra Satapathy, Amira S. Ashour
2018 J jnl
Multi-level image thresholding using Otsu and chaotic bat algorithm.
Neural Comput. Appl.
Suresh Chandra Satapathy, Nadaradjane Sri Madhava Raja, Venkatesan Rajinikanth, Amira S. Ashour, Nilanjan Dey
2018 J jnl
Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images.
Symmetry
Nilanjan Dey, Venkatesan Rajinikanth, Amira S. Ashour, João Manuel R. S. Tavares