Malik Abdul Manan

Orcid: 0009-0007-8644-4655

According to our database1, Malik Abdul Manan authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2026
MSCR-Net: Multipath separable convolution-based residual network for segmentation of colorectal polyp.
Biomed. Signal Process. Control., 2026

2025
Advancement in semantic segmentation techniques: a comprehensive review for semantic segmentation of colorectal polyps using deep learning.
Artif. Intell. Rev., December, 2025

Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp.
Int. J. Imaging Syst. Technol., March, 2025

PINN-DADif: Physics-informed deep adaptive diffusion network for robust and efficient MRI reconstruction.
Digit. Signal Process., 2025

FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data.
Biomed. Signal Process. Control., 2025

Enhancing colorectal polyp segmentation with TCFMA-Net: A transformer-based cross feature and multi-attention network.
Artif. Intell. Medicine, 2025

Predicting traffic flow with federated learning and graph neural with asynchronous computations network.
Array, 2025

2024
IPC-CNN: A Robust Solution for Precise Brain Tumor Segmentation Using Improved Privacy-Preserving Collaborative Convolutional Neural Network.
KSII Trans. Internet Inf. Syst., 2024

Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps.
CoRR, 2024

DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps.
CoRR, 2024

ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models.
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.
CoRR, 2022


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