Md Mamunur Rahaman

According to our database, Md Mamunur Rahaman authored at least 34 papers between 2020 and 2024.

Collaborative distances:

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

2024

What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.

Haoyuan Chen, Xiaoqi Li, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li

Artif. Intell. Rev., March, 2024

Histopathology Image Classification Using Supervised Contrastive Deep Learning.

Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches.

Pingli Ma, Chen Li, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek

Artif. Intell. Rev., February, 2023

Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning.

Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering

CoRR, 2023

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos.

Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li

CoRR, 2023

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features.

Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov

Biomed. Signal Process. Control., 2023

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.

Jiawei Zhang, Shuojia Zou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Wei Qian, Hongzan Sun, Marcin Grzegorzek, Guojun Wang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.

Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek

Pattern Recognit., 2022

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.

Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek

Pattern Recognit., 2022

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images.

Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin, Jinghua Zhang, Tao Jiang, Wenjun Qin, Marcin Grzegorzek

CoRR, 2022

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek

CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, Haoyuan Chen, Wanli Liu, Yudong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorzek

CoRR, 2022

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.

Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Hongzan Sun, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.

Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

Comput. Biol. Medicine, 2022

A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification.

Yixin Li, Xinran Wu, Chen Li, Xiaoyan Li, Haoyuan Chen, Changhao Sun, Md Mamunur Rahaman, Yudong Yao, Yong Zhang, Tao Jiang

Appl. Intell., 2022

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches.

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek

Artif. Intell. Rev., 2022

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches.

Xintong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek

Artif. Intell. Rev., 2022

2021

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.

Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek

CoRR, 2021

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers.

Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek

CoRR, 2021

A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer.

Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek

CoRR, 2021

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers.

Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek

CoRR, 2021

A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers.

Chen Li, Xintong Li, Xiaoyan Li, Md Mamunur Rahaman, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek

CoRR, 2021

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches.

Chen Li, Xintong Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek

CoRR, 2021

A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification.

Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Mamunur Rahaman, Yudong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang

CoRR, 2021

EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks.

Zihan Li, Chen Li, Yudong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang

CoRR, 2021

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.

Md Mamunur Rahaman, Chen Li, Yudong Yao, Frank Kulwa, Xiangchen Wu, Xiaoyan Li, Qian Wang

Comput. Biol. Medicine, 2021

Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism.

Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.

Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang

CoRR, 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.

Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng

IEEE Access, 2020

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.

Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun

IEEE Access, 2020

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.

Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng

IEEE Access, 2020

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning.

Md Mamunur Rahaman, Chen Li, Xiangchen Wu, Yudong Yao, Zhijie Hu, Tao Jiang, Xiaoyan Li, Shouliang Qi

IEEE Access, 2020

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.

Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang

IEEE Access, 2020