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Sheikh Mohammed Shariful Islam
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2020 – today
- 2024
- [j15]Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam:
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. IEEE Access 12: 31117-31135 (2024) - [j14]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access 12: 51942-51965 (2024) - [j13]Md. Awlad Hossen Rony, Kaniz Fatema, Mohaimenul Azam Khan Raiaan, Md. Mehedi Hassan, Sami Azam, Asif Karim, Mirjam Jonkman, Jemima Beissbarth, Friso De Boer, Sheikh Mohammed Shariful Islam, Amanda Leach:
Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review. IEEE Access 12: 99282-99307 (2024) - [j12]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". IEEE Access 12: 118937 (2024) - [j11]Sakib Mahmud, Tariq O. Abbas, Muhammad E. H. Chowdhury, Adam Mushtak, Saidul Kabir, Sreekumar Muthiyal, Alaa Koko, Ahmed Balla Abdalla Altyeb, Abdulrahman Alqahtani, Amith Khandakar, Sheikh Mohammed Shariful Islam:
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning. Expert Syst. Appl. 255: 124594 (2024) - [i8]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR abs/2402.09975 (2024) - [i7]Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi, Mirsaeed Abdollahi, Ali Jafarizadeh, Siamak Pedrammehr, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. CoRR abs/2402.18600 (2024) - [i6]Sheikh Mohammed Shariful Islam, Moloud Abrar, Teketo Tegegne, Liliana Loranjo, Chandan Karmakar, Md. Abdul Awal, Md. Shahadat Hossain, Muhammad Ashad Kabir, Mufti Mahmud, Abbas Khosravi, George Siopis, Jeban Chandir Moses, Ralph Maddison:
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. CoRR abs/2407.16721 (2024) - 2023
- [j10]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - 2022
- [j9]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Sheikh Mohammed Shariful Islam:
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. Comput. Biol. Medicine 145: 105405 (2022) - [j8]Koushik Chandra Howlader, Md. Shahriare Satu, Md. Abdul Awal, Md. Rabiul Islam, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Inf. Sci. Syst. 10(1): 2 (2022) - [j7]Sheikh Mohammed Shariful Islam, Areej Halooq, Jedha Dening, Riaz Uddin, Liliana Laranjo, Clara K. Chow, Ralph Maddison:
Healthcare providers' perspectives on using smart home systems to improve self-management and care in people with heart failure: A qualitative study. Int. J. Medical Informatics 167: 104837 (2022) - [j6]Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam:
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intell. Syst. Appl. 15: 200103 (2022) - [j5]Jeban Chandir Moses, Sasan Adibi, Nilmini Wickramasinghe, Lemai Nguyen, Maia Angelova, Sheikh Mohammed Shariful Islam:
Smartphone as a Disease Screening Tool: A Systematic Review. Sensors 22(10): 3787 (2022) - [c2]Mufti Mahmud, M. Shamim Kaiser, Muhammad Arifur Rahman, Tanu Wadhera, David J. Brown, Nicholas Shopland, Andrew M. Burton, Thomas Hughes-Roberts, Shamim Al Mamun, Cosimo Ieracitano, Marzia Hoque Tania, Mohammad Ali Moni, Sheikh Mohammed Shariful Islam, Kanad Ray, Mohammad Shahadat Hossain:
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder. HCI (8) 2022: 356-370 - [c1]Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni:
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images. MIET (1) 2022: 152-166 - [i5]Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam:
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps. CoRR abs/2208.02490 (2022) - 2021
- [j4]Zulkar Nain, Humayan Kabir Rana, Pietro Liò, Sheikh Mohammed Shariful Islam, Matthew A. Summers, Mohammad Ali Moni:
Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings Bioinform. 22(2): 1175-1196 (2021) - [j3]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j2]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [i4]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i3]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i2]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - 2020
- [j1]Mohammad Ali Moni, M. Babul Islam, Md. Rezanur Rahman, Md Rashed-Al-Mahfuz, Md. Abdul Awal, Sheikh Mohammed Shariful Islam, Md. Nurul Haque Mollah, Julian M. W. Quinn:
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. IEEE Access 8: 1486-1497 (2020) - [i1]Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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