Machine Learning for Healthcare Informatics Techniques and Applications

1. A Robust Deep Learning Based Hybrid Model to Detect Covid-19 Using Chest X-ray
Md. Shahariar Sarkar, Rakibul Hasan, and Md. Miskatul Asfim

2. Transfer learning-based approach to detect crop disease using android application
Md. Sefatullah, Azizur Rahman Khan, Nasrin Akter Borsha, and Aminul Haque

3. A Proposed Sequential Network Analysis for Identification of Hub Genes for Therapeutics in Tuberculosis and Its Overlaying Non-Communicable Disorders
Md. Aminul Islam, Amira Mahjabeen, Md. Zahid Hasan, Touhid Bhuiyan, and Sayed Asaduzzaman

4. Transfer-learning-based Feature Extractor Performance Analysis to Classify Black Gram Leaf Disease
Arpa Saha, Showmick Guha Paul, Md. Sabab Zulfiker, Al Amin Biswas, and Md. Mubtasim Fuad

5. Early Prediction of Breast Cancer using Deep Learning Models
Md Asif Mostofa, Atika Islam, Md Fasiul Ahsan, Dibya Jyoti Hore, and M.F. Mridha

6. Chest-InfNet: A Deep Learning Architecture for Lung Diseases Detection and Infected Region Localization from Chest X-Ray Images
Shourin Paul, Md. Asiful Islam Miah, Sunanda Das, and M. M. A. Hashem

7. Ensemble-Based Transfer Learning Approach for Brain Tumor Segmentation from MRI Images
A. F. M. Minhazur Rahman and Md. Ali Hossain

8. Preventing Skin Cancer through Improved Skin Lesion Recognition: An Attention-Triplet and Multi-Layer Ensemble Based CNN Approach
Anwar Hossain Efat, S. M. Mahedy Hasan, Nahrin Jannat, Mahjabin Rahman Oishe, Md Fakrul Islam Taraque, Mostarina Mitu, Md. Farukuzzaman Faruk, and Md. Azmain Yakin Srizon

9. Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning
Dibya Nath and G. M. Shahariar

10. COVID-19 Distance Learning Understanding Classification using Scalogram Based on Transfer Learning and Principal Feature Classifier from EEG Signals
Md. Momenul Haque, Subrata Kumer Paul, Rakhi Rani Paul, Md. Kamrul Islam, Mursheda Nusrat Della, and Sultan Fahim

11. Large Ensemble of Transfer-Learned Models for Plant Disease Recognition from Diverse Leaf Images
Maria Chowdhury, Azmain Yakin Srizon, Tahsen Islam Sajon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Ananya Sarker, Md. Al Mamun, Md. Rakibul Haque, and Md. Rakib Hossain

12. Computer-Aided Strategy to Diagnose Lung Cancer from CTScan Images Using Inception Architecture
Mohsenul Kabir Mithun, Mujahidul Islam, Shamsun Nahar Zaman, Md Tohidul Haque Sagar, Orpa Numan, Sanjeda Sara Jennifer, Mahbub Hasan Shamim, Ahmed Wasif Reza, and Nazmul Siddique

13. Automated Bone Age Assessment using Deep Learning with Attention Module
Maisha Fahmida, Md. Atiqul Islam Rizvi, Dhrubajyoti Das, and Kaushik Deb

14. Towards Bengali Health Text Identification using Deep Learning Technique
Marufa Akter, Taiyaba Hossain, Khondoker Sohanoor Rahman, and Sadia Afroze

15. Brain Tumor Detection Using Fine-Tuned ResNet-101 on Magnetic Resonance Images
Md. Abdul Wahab and Kaushik Deb

16. Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning
Nusrat Khan, Md. Hasan Imam Bijoy, Atik Asif Khan Akash, Md. Mizanur Rahman, Md. Mohammad Asifur Rahim, and Md. Jakaria Zobair

17. CTFCP: A Cloud-based Deep Transfer Learning Framework for Analyzing Chest X-Ray Images to Detect Pneumonia
Tanvir Azhar, Tahmina Akter Sumi, Ahmed Wasif Reza, and Mohammad Shamsul
Arefin

Biography

Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.

Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.

Mohammad Abu Yousuf is currently the Vice-Chancellor of Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh, and a Professor at the Institute of Information Technology, Jahangirnagar University. He holds a B.Sc. in Computer Science and Engineering from Shahjalal University of Science and Technology, an M.Eng. in Biomedical Engineering from Kyung Hee University, South Korea, and a Ph.D. in Science and Engineering from Saitama University, Japan. With over 125 publications in peer-reviewed journals, conferences, and book chapters, his research spans Medical Image Processing, Human-Robot Interaction, Computer Vision, and Natural Language Processing.

M. Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.