Malik Abdul Manan

According to our database, Malik Abdul Manan authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

LWAH-Net: Light Weight Attention-Driven Hybrid Network for Polyp Segmentation in Endoscopic Images.

Malik Abdul Manan, Jinchao Feng, Syed Muhammad Ali Imran, Shahzad Ahmad, Abdul Raheem

IEEE J. Biomed. Health Informatics, June, 2026

MSCR-Net: Multipath separable convolution-based residual network for segmentation of colorectal polyp.

Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed, Abdul Raheem

Biomed. Signal Process. Control., 2026

2025

Advancement in semantic segmentation techniques: a comprehensive review for semantic segmentation of colorectal polyps using deep learning.

Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed

Artif. Intell. Rev., December, 2025

Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp.

Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed, Abdul Raheem

Int. J. Imaging Syst. Technol., March, 2025

Adaptive Dual-Model Federated Learning for Generalizable Brain Tumor Segmentation.

Abdul Raheem, Zhen Yang, Malik Abdul Manan, Shahzad Ahmed, Fahad Sabah

Int. J. Imaging Syst. Technol., 2025

FUSION: Uncertainty-Guided Federated Semi-Supervised Learning for Medical Image Segmentation.

Abdul Raheem, Zhen Yang, Haiyang Yu, Malik Abdul Manan, Fahad Sabah, Shahzad Ahmed

IET Image Process., 2025

PINN-DADif: Physics-informed deep adaptive diffusion network for robust and efficient MRI reconstruction.

Shahzad Ahmed, Jinchao Feng, Atif Mehmood, Muhammad Usman Ali, Muhammad Yaqub, Malik Abdul Manan, Abdul Raheem

Digit. Signal Process., 2025

FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data.

Shahzad Ahmed, Jinchao Feng, Malik Abdul Manan, Muhammad Yaqub, Muhammad Usman Ali, Abdul Raheem

Biomed. Signal Process. Control., 2025

Enhancing colorectal polyp segmentation with TCFMA-Net: A transformer-based cross feature and multi-attention network.

Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed, Abdul Raheem

Artif. Intell. Medicine, 2025

Predicting traffic flow with federated learning and graph neural with asynchronous computations network.

Muhammad Yaqub, Shahzad Ahmad, Malik Abdul Manan, Muhammad Salman Pathan, Lan He

Array, 2025

2024

IPC-CNN: A Robust Solution for Precise Brain Tumor Segmentation Using Improved Privacy-Preserving Collaborative Convolutional Neural Network.

Abdul Raheem, Zhen Yang, Haiyang Yu, Muhammad Yaqub, Fahad Sabah, Shahzad Ahmed, Malik Abdul Manan, Imran Shabir Chuhan

KSII Trans. Internet Inf. Syst., 2024

Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps.

Malik Abdul Manan, Jinchao Feng, Muhammad Yaqub, Shahzad Ahmed, Syed Muhammad Ali Imran, Imran Shabir Chuhan, Haroon Ahmed Khan

CoRR, 2024

DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps.

Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed, Abdul Raheem

CoRR, 2024

ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models.

Shahzad Ahmed, Jinchao Feng, Malik Abdul Manan, Muhammad Yaqub, Kebin Jia, Zhonghua Sun

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening.

Malik Abdul Manan, Tariq Mahmood Khan, Ahsan Saadat, Muhammad Arsalan, Syed Saud Naqvi

CoRR, 2022