Sidratul Montaha

783 citations

32 papers · 480 indexed · h-index 11

Neurology top 10%
- Brain Tumor Detection and Classification 5
Artificial Intelligence top 5%
- AI in cancer detection 16
Radiology, Nuclear Medicine and Imaging top 10%
- Radiomics and Machine Learning in Medical Imaging 12
- COVID-19 diagnosis using AI 8
- MRI in cancer diagnosis 2
Computer Vision and Pattern Recognition top 10%
- Digital Imaging for Blood Diseases 4
Health Informatics
Pulmonary and Respiratory Medicine
- Lung Cancer Diagnosis and Treatment 3
Oncology
- Cutaneous Melanoma Detection and Management 3

Co-authors: Sami Azam A. K. M. Rakibul Haque Rafid Md. Zahid Hasan Asif Karim Mirjam Jonkman Ashraful Islam Friso De Boer Pronab Ghosh
Cited by: Neurology Artificial Intelligence Radiology, Nuclear Medicine and Imaging
Journals: SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
Partner nations: Australia Bangladesh Canada

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

The 25 scholars most cited alongside Sidratul Montaha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sidratul Montaha Line = papers co-authored together Sidratul Montaha links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis SHILAP Revista de lepidopterología ·Md. Alif Sheakh,Sami Azam,Mst. Sazia Tahosin,Asif Karim,Sidratul Montaha,Kayes Uddin Fahim,Niusha Shafiabady,Mirjam Jonkman,Friso De Boer	2025	8
2	A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis PubMed ·Sadia Sultana Chowa,Md. Rahad Islam Bhuiyan,Israt Jahan Payel,Asif Karim,Inam Ullah Khan,Sidratul Montaha,Md. Zahid Hasan,Mirjam Jonkman,Sami Azam	2025	2
3	Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model SHILAP Revista de lepidopterología ·Nur Mohammad Fahad,Mohaimenul Azam Khan Raiaan,Arefin Ittesafun Abian,Ripon Kumar Debnath,Sidratul Montaha,Mirjam Jonkman,Sami Azam	2025	0
4	Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics ·Sidratul Montaha,Rashik Rahman,Tapotosh Ghosh,Farnaz Sheikhi,Farhad Maleki	2025	0
5	An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation Scientific Reports ·Sadia Sultana Chowa,Md. Rahad Islam Bhuiyan,Mst. Sazia Tahosin,Asif Karim,Sidratul Montaha,Md. Mehedi Hassan,Mohd Asif Shah,Sami Azam	2025	6
6	Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection Multimedia Tools and Applications ·Nur Mohammad Fahad,Sami Azam,Sidratul Montaha,Md. Saddam Hossain Mukta	2024	13
7	SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time Neural Computing and Applications ·Abdullah Al Mahmud,Sami Azam,Inam Ullah Khan,Sidratul Montaha,Asif Karim,Aminul Haque,Md. Zahid Hasan,Mark Brady,Ritu Biswas,Mirjam Jonkman	2024	8
8	Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network Journal of Imaging Informatics in Medicine ·Sadia Sultana Chowa,Sami Azam,Sidratul Montaha,Md. Rahad Islam Bhuiyan,Mirjam Jonkman	2024	3
9	The status of implemented climate smart agriculture practices preferred by farmers of haor area as a climate resilient approach Heliyon ·Umama Begum Ruba,Mohammad Samiul Ahsan Talucder,Md. Nowshad Zaman,Sidratul Montaha,Mst Farzana Afroz Tumpa,Md. Abdul Kader Duel,Ruma Saha Puja,Adiba Hosain Triza	2024	4
10	An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images Journal of Imaging Informatics in Medicine ·Sami Azam,Sidratul Montaha,Mohaimenul Azam Khan Raiaan,A. K. M. Rakibul Haque Rafid,Saddam Hossain Mukta,Mirjam Jonkman	2024	8
11	Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset Mathematics ·Simran Gupta,Md. Rahad Islam Bhuiyan,Sadia Sultana Chowa,Sidratul Montaha,Rashik Rahman,Sk. Tanzir Mehedi,Ziaur Rahman	2024	1
12	Appraising the Impact of Rule of Law, Control of Corruption, and Govt. Effectiveness on Inflation: An Empirical Case of Bangladesh G.M. Ikramul Kabir,Maisha Fairuj,Sidratul Montaha,Md. Minhaz Uddin	2023	0
13	Brain Tumor Segmentation from 3D MRI Scans Using U-Net SN Computer Science ·Sidratul Montaha,Sami Azam,A. K. M. Rakibul Haque Rafid,Md. Zahid Hasan,Asif Karim	2023	21
14	Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model Heliyon ·Shahed Hossain,Sami Azam,Sidratul Montaha,Asif Karim,Sadia Sultana Chowa,Chaity Mondol,Md. Zahid Hasan,Mirjam Jonkman	2023	21
15	A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language PLoS ONE ·Khadija Akter Lima,Khan Md. Hasib,Sami Azam,Asif Karim,Sidratul Montaha,Sheak Rashed Haider Noori,Mirjam Jonkman	2023	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 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	2023	2
17	Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features Journal of Cancer Research and Clinical Oncology ·Sadia Sultana Chowa,Sami Azam,Sidratul Montaha,Israt Jahan Payel,Md. Rahad Islam Bhuiyan,Md. Zahid Hasan,Mirjam Jonkman	2023	8
18	Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality Intelligent Systems with Applications ·Sami Azam,Sidratul Montaha,Kayes Uddin Fahim,A. K. M. Rakibul Haque Rafid,Md. Saddam Hossain Mukta,Mirjam Jonkman	2023	10
19	A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity PLoS ONE ·Sidratul Montaha,Sami Azam,A. K. M. Rakibul Haque Rafid,Sayma Islam,Pronab Ghosh,Mirjam Jonkman	2022	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 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	2022	28

About Sidratul Montaha

Sidratul Montaha is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Artificial Intelligence, having authored 32 papers that have together received 480 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), COVID-19 diagnosis using AI (8 papers), Brain Tumor Detection and Classification (5 papers), Digital Imaging for Blood Diseases (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Cutaneous Melanoma Detection and Management (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Neurology (116 citations), Artificial Intelligence (221 citations) and Radiology, Nuclear Medicine and Imaging (160 citations). Sidratul Montaha has collaborated with scholars based in Australia, Bangladesh and Canada. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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