Masum Shah Junayed

Orcid: 0000-0003-3592-4601

According to our database1, Masum Shah Junayed authored at least 28 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
In-Depth Analysis of Automated Acne Disease Recognition and Classification.
CoRR, March, 2025

Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Scaled Mask Attention-based Hybrid model for Survival Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Fused Transformer-based Model for Gene Expression Prediction using Histopathology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Consistent Video Inpainting Using Axial Attention-Based Style Transformer.
IEEE Trans. Multim., 2023

Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video.
SN Comput. Sci., 2023

Acne Vulgaris Detection and Classification: A Dual Integrated Deep CNN Model.
Informatica (Slovenia), 2023

Improving Image Compression With Adjacent Attention and Refinement Block.
IEEE Access, 2023

A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
Stereoscopic video quality measurement with fine-tuning 3D ResNets.
Multim. Tools Appl., 2022

PDS-Net: A novel point and depth-wise separable convolution for real-time object detection.
Int. J. Multim. Inf. Retr., 2022

An efficient end-to-end deep neural network for interstitial lung disease recognition and classification.
Turkish J. Electr. Eng. Comput. Sci., 2022

ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset.
IEEE Access, 2022

An Efficient End-To-End Image Compression Transformer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
CataractNet: An Automated Cataract Detection System Using Deep Learning for Fundus Images.
IEEE Access, 2021

A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

PoseTED: A Novel Regression-Based Technique for Recognizing Multiple Pose Instances.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Real-Time YOLO-based Heterogeneous Front Vehicles Detection.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Machine Vision-based Expert System for Automated Cucumber Diseases Recognition and Classification.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Deep Covariance Feature and CNN-based End-to-End Masked Face Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
EczemaNet: A Deep CNN-based Eczema Diseases Classification.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

2019
FoNet - Local Food Recognition Using Deep Residual Neural Networks.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019

2018
Incept-N: A Convolutional Neural Network based Classification Approach for Predicting Nationality from Facial Features.
CoRR, 2018

Incept-N: A Convolutional Neural Network Based Classification Approach for Predicting Nationality from Facial Features.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

A Comparative Study of Different CNN Models in City Detection Using Landmark Images.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network.
Proceedings of the Intelligent Systems Design and Applications, 2018


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