Mohd Usama

According to our database, Mohd Usama authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images.

Mohd Usama, Belal Ahmad, Faleh Menawer R. Althiyabi

CoRR, January, 2026

Domain Adaptation of Carotid Ultrasound Images using Generative Adversarial Network.

Mohd Usama, Belal Ahmad, Christer Grönlund, Faleh Menawer R. Althiyabi

CoRR, January, 2026

An Attention guided Bilinear Convolution Neural Network using hybrid loss function for Efficient Skin Disease Classification.

Belal Ahmad, Yen-Lin Chen, Mohd Usama

Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025

A domain adaptation model for carotid ultrasound: Image harmonization, noise reduction, and impact on cardiovascular risk markers.

Mohd Usama, Emma Nyman, Ulf Näslund, Christer Grönlund

Comput. Biol. Medicine, 2025

2024

DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification.

Belal Ahmad, Mohd Usama, Tanvir Ahmad, Adnan Saeed, Shabnam Khatoon, Min Chen

CoRR, 2024

Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification.

Belal Ahmad, Mohd Usama, Tanvir Ahmad, Adnan Saeed, Shabnam Khatoon, Long Hu

CoRR, 2024

2022

An ensemble model of convolution and recurrent neural network for skin disease classification.

Belal Ahmad, Mohd Usama, Tanvir Ahmad, Shabnam Khatoon, Chaudhary Maqbool Alam

Int. J. Imaging Syst. Technol., 2022

Corrigendum to self-attention based recurrent convolutional neural network for disease prediction using healthcare data.

Mohd Usama, Belal Ahmad, Wenjing Xiao, Mohammod Shamim Hossain, Ghulam Muhammad

Comput. Methods Programs Biomed., 2022

2020

Attention-based sentiment analysis using convolutional and recurrent neural network.

Mohd Usama, Belal Ahmad, Enmin Song, M. Shamim Hossain, Mubarak Alrashoud, Ghulam Muhammad

Future Gener. Comput. Syst., 2020

A variant form of 3D-UNet for infant brain segmentation.

Saqib Qamar, Hai Jin, Ran Zheng, Parvez Ahmad, Mohd Usama

Future Gener. Comput. Syst., 2020

Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.

Mohd Usama, Belal Ahmad, Wenjing Xiao, M. Shamim Hossain, Ghulam Muhammad

Comput. Methods Programs Biomed., 2020

Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network.

Belal Ahmad, Mohd Usama, Chuen-Min Huang, Kai Hwang, M. Shamim Hossain, Ghulam Muhammad

IEEE Access, 2020

2019

Recurrent convolutional neural network based multimodal disease risk prediction.

Yixue Hao, Mohd Usama, Jun Yang, M. Shamim Hossain, Ahmed Ghoneim

Future Gener. Comput. Syst., 2019

Removal notice to "Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews" [Comput. Commun. (2019) 98-106].

Mohd Usama, Belal Ahmad, Jun Yang, Saqib Qamar, Parvez Ahmad, Yu Zhang, Jing Lv, Joze Guna

Comput. Commun., 2019

Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis.

Mohd Usama, Wenjing Xiao, Belal Ahmad, Jiafu Wan, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi

IEEE Access, 2019

3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation.

Parvez Ahmad, Hai Jin, Saqib Qamar, Ran Zheng, Wenbin Jiang, Belal Ahmad, Mohd Usama

Proceedings of the 4th International Conference on Big Data and Computing, 2019

Deep Convolutional Neural Network Using Triplet Loss to Distinguish the Identical Twins.

Belal Ahmad, Mohd Usama, Jiayi Lu, Wenjing Xiao, Jiafu Wan, Jun Yang

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018

Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data.

Mohd Usama, Belal Ahmad, Jiafu Wan, M. Shamim Hossain, Mohammed F. Alhamid, M. Anwar Hossain

IEEE Access, 2018

2017

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs.

Mohd Usama, Mengchen Liu, Min Chen

Digit. Commun. Networks, 2017