Sidratul Montaha
Sidratul Montaha
Master Student, Computer Science
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Timedistributed-cnn-lstm: A hybrid approach combining cnn and lstm to classify brain tumor on 3d mri scans performing ablation study
S Montaha, S Azam, AKMRH Rafid, MZ Hasan, A Karim, A Islam
IEEE Access 10, 60039-60059, 2022
BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images
S Montaha, S Azam, AKMRH Rafid, P Ghosh, MZ Hasan, M Jonkman, ...
Biology 10 (12), 1347, 2021
Mcnn-lstm: Combining cnn and lstm to classify multi-class text in imbalanced news data
KM Hasib, S Azam, A Karim, A Al Marouf, FMJM Shamrat, S Montaha, ...
IEEE Access, 2023
A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity
S Montaha, S Azam, AKMRH Rafid, S Islam, P Ghosh, M Jonkman
PloS one 17 (8), e0269826, 2022
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique
S Montaha, S Azam, AKMRH Rafid, MZ Hasan, A Karim, KM Hasib, ...
Frontiers in Medicine 9, 924979, 2022
An effective ensemble machine learning approach to classify breast cancer based on feature selection and lesion segmentation using preprocessed mammograms
AKMRH Rafid, S Azam, S Montaha, A Karim, KU Fahim, MZ Hasan
Biology 11 (11), 1654, 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 images
K Fatema, S Montaha, MAH Rony, S Azam, MZ Hasan, M Jonkman
Biomedicines 10 (11), 2835, 2022
Brain tumor segmentation from 3D MRI scans using U-net
S Montaha, S Azam, AKM Rakibul Haque Rafid, MZ Hasan, A Karim
SN Computer Science 4 (4), 386, 2023
Automated detection of broncho-arterial pairs using CT scans employing different approaches to classify lung diseases
S Azam, AKMRH Rafid, S Montaha, A Karim, M Jonkman, F De Boer
Biomedicines 11 (1), 133, 2023
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification
IU Khan, S Azam, S Montaha, A Al Mahmud, AKMRH Rafid, MZ Hasan, ...
Intelligent Systems with Applications 16, 200147, 2022
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
S Hossain, S Azam, S Montaha, A Karim, SS Chowa, C Mondol, ...
Heliyon 9 (11), 2023
Using feature maps to unpack the CNN ‘Black box’theory with two medical datasets of different modality
S Azam, S Montaha, KU Fahim, AKMRH Rafid, MSH Mukta, M Jonkman
Intelligent Systems with Applications 18, 200233, 2023
A novel data and model centric artificial intelligence based approach in developing high-performance named entity recognition for bengali language
KA Lima, K Md Hasib, S Azam, A Karim, S Montaha, SRH Noori, ...
Plos one 18 (9), e0287818, 2023
An automated decision support system to analyze malignancy patterns of breast masses employing medically relevant features of ultrasound images
S Azam, S Montaha, MAK Raiaan, AKM Rafid, SH Mukta, M Jonkman
Journal of Imaging Informatics in Medicine, 1-15, 2024
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images
MZ Hasan, S Montaha, IU Khan, MM Hassan, A Al Mahmud, ...
IEEE Access 12, 31117-31135, 2024
Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features
SS Chowa, S Azam, S Montaha, IJ Payel, MRI Bhuiyan, MZ Hasan, ...
Journal of Cancer Research and Clinical Oncology 149 (20), 18039-18064, 2023
Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation
MR Islam Bhuiyan, S Azam, S Montaha, RI Jim, A Karim, IU Khan, ...
Digital Health 9, 20552076231215915, 2023
An automated broncho-arterial (ba) pair segmentation process and assessment of ba ratios in children with bronchiectasis using lung hrct scans: A pilot study
S Azam, S Montaha, AKMRH Rafid, A Karim, M Jonkman, F De Boer, ...
Biomedicines 11 (7), 1874, 2023
Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases. Biomedicines 2023, 11, 133
S Azam, ARH Rafid, S Montaha, A Karim, M Jonkman, F De Boer
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network
S Montaha, S Azam, MRI Bhuiyan, SS Chowa, MSH Mukta, M Jonkman
Digital Health 10, 20552076241251660, 2024
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