Md Kamrul Hasan
Md Kamrul Hasan
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Deep learning
Multi-scale, data-driven and anatomically constrained deep learning image registration for adult and fetal echocardiography
Temporal echocardiography image registration is important for cardiac motion estimation, myocardial strain assessments, and stroke …
Md. Kamrul Hasan, Haobo Zhu, Guang Yang, Choon Hwai Yap
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A survey, review, and future trends of skin lesion segmentation and classification
The Computer-aided Diagnosis (CAD) system for skin lesion analysis is an emerging field of research that has the potential to relieve …
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang
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Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods
The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is …
Ovishake Sen, Mohtasim Fuad, Md Nazrul Islam, Jakaria Rabbi, Mehedi Masud, Md Kamrul Hasan, Md Abdul Awal, Awal Ahmed Fime, Md Tahmid Hasan Fuad, Delowar Sikder, Md Akil Raihan Iftee
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Challenges of deep learning methods for COVID-19 detection using public datasets
Since the COVID-19 pandemic, several research studies have proposed Deep Learning (DL)-based automated COVID-19 detection, reporting …
Md Kamrul Hasan, Md Ashraful Alam, Lavsen Dahal, Shidhartho Roy, Sifat Redwan Wahid, Md Toufick E Elahi, Robert Martí, Bishesh Khanal
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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Background and Objective: Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, …
Md Kamrul Hasan, Md Toufick E Elahi, Md Ashraful Alam, Md Tasnim Jawad, Robert Martí
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COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity are …
Md Kamrul Hasan, Md Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha, Md Masum Al Masba, Shumit Saha, Mohammad Ali Moni
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Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to …
Md Rabiul Islam, Mohammad Ali Moni, Md Milon Islam, Md Rashed-Al-Mahfuz, Md Saiful Islam, Md Kamrul Hasan, Md Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, Akm Azad, Salem A. Alyami, Md Atiquar Rahman Ahad, Pietro Lio
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Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition
Skin cancer, also known as melanoma, is generally diagnosed visually from the dermoscopic images, which is a tedious and timeconsuming …
Aishwariya Dutta, Md Kamrul Hasan, Mohiuddin Ahmad
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Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
This article proposes an end-to-end deep CNN-based framework for simultaneous detection and recognition of skin lesions, Dermo-DOCTOR, …
Md Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md Ashraful Alam, Md Toufick E Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Md Tasnim Jawad, Mohiuddin Ahmad
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Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI
Accurate and robust whole heart substructure segmentation is crucial in developing clinical applications, such as computer-aided …
Tarun Kanti Ghosh, Md Kamrul Hasan, Shidhartho Roy, Md Ashraful Alam, Eklas Hossian, Mohiuddin Ahmad
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