Publications
Our research contributions and scientific publications
Showing 51 publication
Review of artifact detection methods for automated analysis and diagnosis in di…
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis …
Automatic grading of invasive breast cancer patients for the decision of therap…
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara …
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling …
Smartpoultry: Early detection of poultry disease from smartphone captured fecal…
Md Shakhawat Hossain, Umme Sadia Salsabil, MM Mahbubul Syeed, Md Mahmudur Rahman, Kaniz Fatema, Mohammad Faisal Uddin
The outbreak of chicken disease has been a major concern around the world, as the poultry industry supplies a significant portion of t he …
An iot intensive ai-integrated system for optimized surface water quality profi…
MM Mahbubul Syeed, Md Rajaul Karim, Md Shakhawat Hossain, Kaniz Fatema, Mohammad Faisal Uddin, Razib Hayat Khan
Surface water is heavily exposed to contamination as this water is the ubiquitous source for the majority of water needs. This situation is exaggerated …
Cavit: Early stage dental caries detection from smartphone-image using vision t…
Md Shakhawat Hossain, Md Mahmudur Rahman, MM Mahbubul Syeed, Ummae Hamida Hannan, Mohammad Faisal Uddin, Sahria Bakar Mumu
Caries detection is a routine clinical task in dental practice. If caries are detected at an early stage, non-invasive or micro-invasive treatment such as …
Detection of parkinson’s disease from t2-weighted magnetic resonance imaging sc…
Md Mehedi Hasan, Nazia Alfaz, Md Al Maksud Alam, Ashiqur Rahman, Hossain Md Shakhawat, Shakila Rahman
Parkinson’s disease (PD) is a multifaceted neurode-generative disorder that primarily disrupts voluntary motor movements by causing an excitation-inhibition imbalance in the brain. Approximately 10 …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Tran…
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep …
The perception of health professionals in Bangladesh toward the digitalization …
Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Mohammad Faisal Uddin
International Journal of Environmental Research and Public Health , Vol. 19 (20)
Bangladesh is undertaking a major transformation towards digitalization in every sector, and healthcare is no exception. Digitalization of the health sector is expected to …
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, MM Mahbubul Syeed, Harunur Rashid, Md Shaheed Reza
BioMedInformatics , Vol. 2 (3)
Dengue endemicity has become regular in recent times across the world. The numbers of cases and deaths have been alarmingly increasing over the years. …
Android ransomware detection from traffic analysis using metaheuristic feature …
Md Sakir Hossain, Naim Hasan, Md Abdus Samad, Hossain Md Shakhawat, Joydeep Karmoker, Foysol Ahmed, KFM Nafiz Fuad, Kwonhue Choi
IEEE Access , Vol. 10 , pp. 128754-128763
Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android …
Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole…
Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Md Sakir Hossain, Mohammad Faisal Uddin
Sensors , Vol. 22 (19)
Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for all breast cancer patients to determine their suitability for
Android ransomware attacks detection with optimized ensemble learning
Shaharia Sifat, Md Sakir Hossain, Sadia Afrin Tonny, Bejoy Majumder, Riftana Mahajabin, Hossain Md Shakhawat
Android is the most widely used operating system for mobile devices and is the most common target of various cyber attacks. Ransomware is one …
Review of artifact detection methods for automated analysis and diagnosis in digital pathology
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis caused by the artifacts, and reviews the existing artifact detection methods. The WSI scanner is …
Automatic grading of invasive breast cancer patients for the decision of therapeutic plan
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara Ross, Yukako Yagi
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling therapeutic decisions. This chapter presents an automatic Human epidermal receptor growth factor receptor 2 (HER2) …
Smartpoultry: Early detection of poultry disease from smartphone captured fecal image
Md Shakhawat Hossain, Umme Sadia Salsabil, MM Mahbubul Syeed, Md Mahmudur Rahman, Kaniz Fatema, Mohammad Faisal Uddin
The outbreak of chicken disease has been a major concern around the world, as the poultry industry supplies a significant portion of t he global protein needs. Such an outbreak can cause enormous financial loss to the poultry farmers …
An iot intensive ai-integrated system for optimized surface water quality profiling
MM Mahbubul Syeed, Md Rajaul Karim, Md Shakhawat Hossain, Kaniz Fatema, Mohammad Faisal Uddin, Razib Hayat Khan
Surface water is heavily exposed to contamination as this water is the ubiquitous source for the majority of water needs. This situation is exaggerated by excessive population, heavy industrialization, rapid urbanization, and ad-hoc monitoring. Comprehensive measurement and knowledge extraction …
Cavit: Early stage dental caries detection from smartphone-image using vision transformer
Md Shakhawat Hossain, Md Mahmudur Rahman, MM Mahbubul Syeed, Ummae Hamida Hannan, Mohammad Faisal Uddin, Sahria Bakar Mumu
Caries detection is a routine clinical task in dental practice. If caries are detected at an early stage, non-invasive or micro-invasive treatment such as fillings and a root canal can be effective and thereby invasive treatment and therapies such …
Detection of parkinson’s disease from t2-weighted magnetic resonance imaging scans using efficientnet-v2
Md Mehedi Hasan, Nazia Alfaz, Md Al Maksud Alam, Ashiqur Rahman, Hossain Md Shakhawat, Shakila Rahman
Parkinson’s disease (PD) is a multifaceted neurode-generative disorder that primarily disrupts voluntary motor movements by causing an excitation-inhibition imbalance in the brain. Approximately 10 million people worldwide are affected by PD. However, accurate diagnosis of PD is still challenging …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Transfer Learning
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep convolutional neural network based transfer learning mechanism. In the training phase, visual geometry group network …
The perception of health professionals in Bangladesh toward the digitalization of the health sector
Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Mohammad Faisal Uddin
International Journal of Environmental Research and Public Health , Vol. 19 (20)
Bangladesh is undertaking a major transformation towards digitalization in every sector, and healthcare is no exception. Digitalization of the health sector is expected to improve healthcare services while reducing human effort and ensuring the satisfaction of patients and health …
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, MM Mahbubul Syeed, Harunur Rashid, Md Shaheed Reza
BioMedInformatics , Vol. 2 (3)
Dengue endemicity has become regular in recent times across the world. The numbers of cases and deaths have been alarmingly increasing over the years. In addition to this, there are no direct medications or vaccines to treat this viral …
Android ransomware detection from traffic analysis using metaheuristic feature selection
Md Sakir Hossain, Naim Hasan, Md Abdus Samad, Hossain Md Shakhawat, Joydeep Karmoker, Foysol Ahmed, KFM Nafiz Fuad, Kwonhue Choi
IEEE Access , Vol. 10 , pp. 128754-128763
Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high computational complexity. This paper proposes …
Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images
Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Md Sakir Hossain, Mohammad Faisal Uddin
Sensors , Vol. 22 (19)
Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for all breast cancer patients to determine their suitability for HER2-targeted therapy. Fluorescence in situ hybridization (FISH) and chromogenic in situ hybridization (CISH) are …
Android ransomware attacks detection with optimized ensemble learning
Shaharia Sifat, Md Sakir Hossain, Sadia Afrin Tonny, Bejoy Majumder, Riftana Mahajabin, Hossain Md Shakhawat
Android is the most widely used operating system for mobile devices and is the most common target of various cyber attacks. Ransomware is one of the most common and dangerous malware attacks among of different types of attacks. In …