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Isunuri Bala Venkateswarlu

Bala Venkateswarlu Isunuri

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affiliation: Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, IIITD&M Kancheepuram, India

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2020 – today

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2023
[j7]
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Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
EfficientNet and multi-path convolution with multi-head attention network for brain tumor grade classification. Comput. Electr. Eng. 108: 108700 (2023)
2022
[j6]
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Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
Three-class brain tumor classification from magnetic resonance images using separable convolution based neural network. Concurr. Comput. Pract. Exp. 34(1) (2022)
[j5]
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V. Santhosh Kumar Tangudu, Jagadeesh Kakarla, Isunuri Bala Venkateswarlu:
COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block. Soft Comput. 26(5): 2197-2208 (2022)
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Jagadeesh Kakarla, Isunuri Bala Venkateswarlu:
Brain Tumor Grade Detection Using Transfer Learning and Residual Multi-head Attention Network. CVIP (2) 2022: 205-215
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Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
Alzheimer's severity classification using Transfer Learning and Residual Separable Convolution Network. ICVGIP 2022: 9:1-9:6
2021
[j4]
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Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Krishna Sai Doppalapudi, Karthik Satya Raghuram Bylapudi:
Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network. Int. J. Imaging Syst. Technol. 31(3): 1731-1740 (2021)
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Lokesh Kumar Ramasamy, Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Munesh Singh:
Multi-class brain tumor classification using residual network and global average pooling. Multim. Tools Appl. 80(9): 13429-13438 (2021)
[j2]
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Srinath Kokkalla, Jagadeesh Kakarla, Isunuri Bala Venkateswarlu, Munesh Singh:
Three-class brain tumor classification using deep dense inception residual network. Soft Comput. 25(13): 8721-8729 (2021)

2010 – 2019

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2019
[j1]
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Isunuri Bala Venkateswarlu, Jagadeesh Kakarla:
Password security by encryption using an extended ADFGVX cipher. Int. J. Inf. Comput. Secur. 11(4/5): 510-523 (2019)

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