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Dr Jyostna Devi Bodapati, IEEE Senior Member
Dr Jyostna Devi Bodapati, IEEE Senior Member
VFSTR Deemed to be University
Verified email at vignan.ac.in - Homepage
Title
Cited by
Cited by
Year
Blended multi-modal deep convnet features for diabetic retinopathy severity prediction
JD Bodapati, V Naralasetti, SN Shareef, S Hakak, M Bilal, ...
Electronics 9 (6), 914, 2020
1462020
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification
JD Bodapati, NS Shaik, V Naralasetti
Journal of Ambient Intelligence and Humanized Computing 12, 9825–9839, 2021
1382021
Joint training of two-channel deep neural network for brain tumor classification
JD Bodapati, NS Shaik, V Naralasetti, NB Mundukur
Signal, Image and Video Processing 15 (4), 753-760, 2021
962021
Feature Extraction and Classification using Deep Convolutional Neural Networks
JD Bodapati, N Veeranjaneyulu
Journal of Cyber Security and Mobility 8 (2), 261-276, 2019
742019
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction
JD Bodapati, NS Shaik, V Naralasetti
Signal, Image and Video Processing 15, pages923–930, 2021
732021
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification
V Dondeti, JD Bodapati, SN Shareef, V Naralasetti
Revue d'Intelligence Artificielle 34 (3), 307-313, 2020
532020
Sentiment analysis from movie reviews using LSTMs.
JD Bodapati, N Veeranjaneyulu, S Shaik
Ingenierie des Systemes d'Information, 24 ((1)), 125-129, 2019
532019
FERNet: A Deep CNN Architecture for Facial Expression Recognition in the Wild
JD Bodapati, U Srilakshmi, N Veeranjaneyulu
Journal of The Institution of Engineers (India): Series B 8, 1-10, 2022
442022
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction
JD Bodapati, SN Shareef, V Naralasetti, NB Mundukur
International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021
292021
Facial Emotion Recognition Using Deep Cnn Based Features
JD Bodapati, N Veeranjaneyulu
International Journal of Innovative Technology and Exploring Engineering …, 2019
282019
Effect of Different Kernels on the Performance of an SVM Based Classification
VN Deepika Kancherla, Jyostna Devi Bodapati
International Journal of Recent Technology and Engineering (IJRTE) 7 (5), 1-6, 2019
26*2019
Stacked convolutional auto-encoder representations with spatial attention for efficient diabetic retinopathy diagnosis
JD Bodapati
Multimedia Tools and Applications 81 (22), 32033-32056, 2022
242022
ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs
JD Bodapati, VN Rohith
Measurement 188, 110491, 2022
242022
A Novel Face Recognition System Based on Combining Eigenfaces with Fisher Faces using Wavelets
BJ Devi, N Veeranjaneyulu, KVK Kishore
Procedia Computer Science 2, 44-51, 2010
222010
An efficient automatic brain tumor classification using LBP features and SVM-based classifier
K Deepika, JD Bodapati, RK Srihitha
Proceedings of International Conference on Computational Intelligence and …, 2019
212019
Abnormal network traffic detection using support vector data description
JD Bodapati, N Veeranjaneyulu
Proceedings of the 5th International Conference on Frontiers in Intelligent …, 2017
172017
SCENE CLASSIFICATION USING SUPPORT VECTOR MACHINES WITH LDA.
VN Veeranjaneyulu, N, Raghunath, A, Jyostna Devi, B. Mandhala
Journal of Theoretical & Applied Information Technology 63 (3), 741-747, 2014
172014
An efficient approach for semantic segmentation of salt domes in seismic images using improved UNET architecture
JD Bodapati, RK Sajja, V Naralasetti
Journal of The Institution of Engineers (India): Series B 104 (3), 569-578, 2023
132023
A deep learning framework with cross pooled soft attention for facial expression recognition
JD Bodapati, DSB Naik, B Suvarna, V Naralasetti
Journal of The Institution of Engineers (India): Series B 103 (5), 1395-1405, 2022
132022
Deep Learning Models for Pneumonia Identification and Classification Based on X-Ray Images.
V Naralasetti, RK Shaik, G Katepalli, JD Bodapati
Traitement du Signal 38 (3), 903-909, 2021
132021
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