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Sidratul Montaha

Showing results (1-10 of 18) with videos related to

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IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image SegmentationSidratul Montaha, Rashik Rahman, Tapotosh Ghosh, et al.
Journal of Imaging Informatics in Medicine|February 16, 2024
Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention NetworkSadia Sultana Chowa, Sami Azam, Sidratul Montaha, et al.
Biomedicines|November 11, 2022
A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG ImagesKaniz Fatema, Sidratul Montaha, Md Awlad Hossen Rony, et al.
Plos One|August 4, 2022
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexitySidratul Montaha, Sami Azam, A K M Rakibul Haque Rafid, et al.
Biomedicines|January 21, 2023
Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung DiseasesSami Azam, A K M Rakibul Haque Rafid, Sidratul Montaha, et al.
Digital Health|May 31, 2024
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional networkSidratul Montaha, Sami Azam, Md Rahad Islam Bhuiyan, et al.
Biology|November 24, 2022
An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed MammogramsA K M Rakibul Haque Rafid, Sami Azam, Sidratul Montaha, et al.
Heliyon|October 27, 2023
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN modelShahed Hossain, Sami Azam, Sidratul Montaha, et al.
Plos One|September 22, 2023
A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali LanguageKhadija Akter Lima, Khan Md Hasib, Sami Azam, et al.
Journal of Imaging Informatics in Medicine|February 12, 2024
An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound ImagesSami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

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Pageof 2
IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image SegmentationSidratul Montaha, Rashik Rahman, Tapotosh Ghosh, et al.
Journal of Imaging Informatics in Medicine|February 16, 2024
Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention NetworkSadia Sultana Chowa, Sami Azam, Sidratul Montaha, et al.
Biomedicines|November 11, 2022
A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG ImagesKaniz Fatema, Sidratul Montaha, Md Awlad Hossen Rony, et al.
Plos One|August 4, 2022
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexitySidratul Montaha, Sami Azam, A K M Rakibul Haque Rafid, et al.
Biomedicines|January 21, 2023
Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung DiseasesSami Azam, A K M Rakibul Haque Rafid, Sidratul Montaha, et al.
Digital Health|May 31, 2024
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional networkSidratul Montaha, Sami Azam, Md Rahad Islam Bhuiyan, et al.
Biology|November 24, 2022
An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed MammogramsA K M Rakibul Haque Rafid, Sami Azam, Sidratul Montaha, et al.
Heliyon|October 27, 2023
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN modelShahed Hossain, Sami Azam, Sidratul Montaha, et al.
Plos One|September 22, 2023
A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali LanguageKhadija Akter Lima, Khan Md Hasib, Sami Azam, et al.
Journal of Imaging Informatics in Medicine|February 12, 2024
An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound ImagesSami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, et al.
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