Sidratul Montaha

783 total citations
32 papers, 480 citations indexed

About

Sidratul Montaha is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sidratul Montaha has authored 32 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sidratul Montaha's work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (8 papers). Sidratul Montaha is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and COVID-19 diagnosis using AI (8 papers). Sidratul Montaha collaborates with scholars based in Australia, Bangladesh and Canada. Sidratul Montaha's co-authors include Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Mirjam Jonkman, Ashraful Islam, Friso De Boer, Pronab Ghosh, Khan Md. Hasib and Md. Saddam Hossain Mukta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sidratul Montaha

28 papers receiving 462 citations

Peers

Countries citing papers authored by Sidratul Montaha

Since Specialization

Citations

This map shows the geographic impact of Sidratul Montaha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sidratul Montaha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidratul Montaha more than expected).

Fields of papers citing papers by Sidratul Montaha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidratul Montaha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sidratul Montaha. The network helps show where Sidratul Montaha may publish in the future.

Co-authorship network of co-authors of Sidratul Montaha

This figure shows the co-authorship network connecting the top 25 collaborators of Sidratul Montaha. A scholar is included among the top collaborators of Sidratul Montaha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sidratul Montaha. Sidratul Montaha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis 2025 ·SHILAP Revista de lepidopterología ·(unknown), Sami Azam, (unknown), Asif Karim, Sidratul Montaha, (unknown), Niusha Shafiabady, Mirjam Jonkman, Friso De Boer	8
2	A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis 2025 ·PubMed ·(unknown), (unknown), (unknown), Asif Karim, (unknown), Sidratul Montaha, Md. Zahid Hasan, Mirjam Jonkman, Sami Azam	2
3	Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model 2025 ·SHILAP Revista de lepidopterología ·Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, (unknown), (unknown), Sidratul Montaha, Mirjam Jonkman, Sami Azam	0
4	Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image Segmentation 2025 ·IEEE Journal of Biomedical and Health Informatics ·Sidratul Montaha, (unknown), Tapotosh Ghosh, (unknown), Farhad Maleki	0
5	An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation 2025 ·Scientific Reports ·(unknown), (unknown), (unknown), Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, (unknown), Sami Azam	6
6	Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection 2024 ·Multimedia Tools and Applications ·Nur Mohammad Fahad, Sami Azam, Sidratul Montaha, Md. Saddam Hossain Mukta	13
7	SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time 2024 ·Neural Computing and Applications ·Abdullah Al Mahmud, Sami Azam, (unknown), Sidratul Montaha, Asif Karim, Aminul Haque, Md. Zahid Hasan, (unknown), (unknown), Mirjam Jonkman	8
8	Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network 2024 ·Journal of Imaging Informatics in Medicine ·(unknown), Sami Azam, Sidratul Montaha, (unknown), Mirjam Jonkman	3
9	The status of implemented climate smart agriculture practices preferred by farmers of haor area as a climate resilient approach 2024 ·Heliyon ·(unknown), (unknown), (unknown), Sidratul Montaha, (unknown), (unknown), (unknown), (unknown)	4
10	An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images 2024 ·Journal of Imaging Informatics in Medicine ·Sami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, A. K. M. Rakibul Haque Rafid, (unknown), Mirjam Jonkman	8
11	Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset 2024 ·Mathematics ·(unknown), (unknown), (unknown), Sidratul Montaha, (unknown), Sk. Tanzir Mehedi, Ziaur Rahman	1
12	Appraising the Impact of Rule of Law, Control of Corruption, and Govt. Effectiveness on Inflation: An Empirical Case of Bangladesh 2023 ·(unknown), (unknown), Sidratul Montaha, (unknown)	0
13	Brain Tumor Segmentation from 3D MRI Scans Using U-Net 2023 ·SN Computer Science ·Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim	21
14	Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model 2023 ·Heliyon ·(unknown), Sami Azam, Sidratul Montaha, Asif Karim, (unknown), (unknown), Md. Zahid Hasan, Mirjam Jonkman	21
15	A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language 2023 ·PLoS ONE ·(unknown), Khan Md. Hasib, Sami Azam, Asif Karim, Sidratul Montaha, Sheak Rashed Haider Noori, Mirjam Jonkman	7
16	An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study 2023 ·Biomedicines ·Sami Azam, Sidratul Montaha, A. K. M. Rakibul Haque Rafid, Asif Karim, Mirjam Jonkman, Friso De Boer, Gabrielle B. McCallum, Ian Brent Masters, Anne B. Chang	2
17	Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features 2023 ·Journal of Cancer Research and Clinical Oncology ·(unknown), Sami Azam, Sidratul Montaha, (unknown), (unknown), Md. Zahid Hasan, Mirjam Jonkman	8
18	Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality 2023 ·Intelligent Systems with Applications ·Sami Azam, Sidratul Montaha, (unknown), A. K. M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman	10
19	A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity 2022 ·PLoS ONE ·Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, (unknown), Pronab Ghosh, Mirjam Jonkman	25
20	MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique 2022 ·Frontiers in Medicine ·Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Khan Md. Hasib, Shobhit K. Patel, Mirjam Jonkman, Zubaer Ibna Mannan	28

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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