Shaik Nagur Shareef

According to our database, Shaik Nagur Shareef authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Medtransnet: advanced gating transformer network for medical image classification.

Shaik Nagur Shareef, Teja Krishna Cherukuri, N. Veeranjaneulu, Jyostna Devi Bodapati

Mach. Vis. Appl., July, 2024

Gated contextual transformer network for multi-modal retinal image clinical description generation.

Shaik Nagur Shareef, Teja Krishna Cherukuri

Image Vis. Comput., 2024

2023

Visual attention based composite dense neural network for facial expression recognition.

Shaik Nagur Shareef, Teja Krishna Cherukuri

J. Ambient Intell. Humaniz. Comput., December, 2023

2022

Multi-level attention network: application to brain tumor classification.

Shaik Nagur Shareef, Teja Krishna Cherukuri

Signal Image Video Process., 2022

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans.

Shaik Nagur Shareef, Teja Krishna Cherukuri

Comput. Biol. Medicine, 2022

Hinge attention network: A joint model for diabetic retinopathy severity grading.

Shaik Nagur Shareef, Teja Krishna Cherukuri

Appl. Intell., 2022

2021

Joint training of two-channel deep neural network for brain tumor classification.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur

Signal Image Video Process., 2021

Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

Signal Image Video Process., 2021

Lesion-aware attention with neural support vector machine for retinopathy diagnosis.

Shaik Nagur Shareef, Teja Krishna Cherukuri

Mach. Vis. Appl., 2021

Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

J. Ambient Intell. Humaniz. Comput., 2021

MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur

Int. J. Pattern Recognit. Artif. Intell., 2021

2020

Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification.

Venkatesulu Dondeti, Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

Rev. d'Intelligence Artif., 2020

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction.

Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo

CoRR, 2020

2019

Sentiment Analysis from Movie Reviews Using LSTMs.

Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef

Ingénierie des Systèmes d Inf., 2019