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ORCIDShaik Nagur Shareef
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2020 – today
- 2024
[j13]Shaik Nagur Shareef
, Teja Krishna Cherukuri:
Gated contextual transformer network for multi-modal retinal image clinical description generation. Image Vis. Comput. 143: 104946 (2024)- [j12]Shaik Nagur Shareef, Teja Krishna Cherukuri, N. Veeranjaneulu, Jyostna Devi Bodapati:
Medtransnet: advanced gating transformer network for medical image classification. Mach. Vis. Appl. 35(4): 73 (2024) - 2023
- [j11]Shaik Nagur Shareef, Teja Krishna Cherukuri:
Visual attention based composite dense neural network for facial expression recognition. J. Ambient Intell. Humaniz. Comput. 14(12): 16229-16242 (2023) - 2022
- [j10]Shaik Nagur Shareef, Teja Krishna Cherukuri:
Hinge attention network: A joint model for diabetic retinopathy severity grading. Appl. Intell. 52(13): 15105-15121 (2022) - [j9]Shaik Nagur Shareef, Teja Krishna Cherukuri:
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans. Comput. Biol. Medicine 141: 105127 (2022) - [j8]Shaik Nagur Shareef, Teja Krishna Cherukuri:
Multi-level attention network: application to brain tumor classification. Signal Image Video Process. 16(3): 817-824 (2022) - 2021
- [j7]Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur:
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. Int. J. Pattern Recognit. Artif. Intell. 35(7): 2157005:1-2157005:22 (2021) - [j6]Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti:
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. J. Ambient Intell. Humaniz. Comput. 12(10): 9825-9839 (2021) - [j5]Shaik Nagur Shareef, Teja Krishna Cherukuri:
Lesion-aware attention with neural support vector machine for retinopathy diagnosis. Mach. Vis. Appl. 32(6): 126 (2021) - [j4]Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur:
Joint training of two-channel deep neural network for brain tumor classification. Signal Image Video Process. 15(4): 753-760 (2021) - [j3]Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti:
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction. Signal Image Video Process. 15(5): 923-930 (2021) - 2020
- [j2]Venkatesulu Dondeti, Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti:
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification. Rev. d'Intelligence Artif. 34(3): 307-313 (2020) - [i1]Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo:
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction. CoRR abs/2006.00197 (2020)
2010 – 2019
- 2019
- [j1]Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef:
Sentiment Analysis from Movie Reviews Using LSTMs. Ingénierie des Systèmes d Inf. 24(1): 125-129 (2019)
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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