Shaik Nagur Shareef

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Expression Recognition

Diabetic Retinopathy

Tumor Classification

Top Venues

Signal Image Video Process.

J. Ambient Intell. Humaniz. Comput.

Mach. Vis. Appl.

Rev. d'Intelligence Artif.

Publications

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) (2024)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Gated contextual transformer network for multi-modal retinal image clinical description generation. Image Vis. Comput. 143 (2024)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Visual attention based composite dense neural network for facial expression recognition. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Hinge attention network: A joint model for diabetic retinopathy severity grading. Appl. Intell. 52 (13) (2022)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans. Comput. Biol. Medicine 141 (2022)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Multi-level attention network: application to brain tumor classification. Signal Image Video Process. 16 (3) (2022)
Shaik Nagur Shareef, Teja Krishna Cherukuri
Lesion-aware attention with neural support vector machine for retinopathy diagnosis. Mach. Vis. Appl. 32 (6) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu, Nirupama Bhat Mundukur
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. Int. J. Pattern Recognit. Artif. Intell. 35 (7) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. J. Ambient Intell. Humaniz. Comput. 12 (10) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction. Signal Image Video Process. 15 (5) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu, Nirupama Bhat Mundukur
Joint training of two-channel deep neural network for brain tumor classification. Signal Image Video Process. 15 (4) (2021)
Venkatesulu Dondeti, Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification. Rev. d'Intelligence Artif. 34 (3) (2020)
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 (2020)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef
Sentiment Analysis from Movie Reviews Using LSTMs. Ingénierie des Systèmes d Inf. 24 (1) (2019)