1. Mallasani Harikrishna, Makkena Bharath, Mupparaju Hemavarun, Jungpil SHIN, Anukriti Bansal, Vikas Bajpai, Abhishek Sharma, "Attention Deficit Hyperactivity Disorder Detection Using Deep Learning", India, Dec 21-23, 2025.
2. Md. Shahidul Islam, Jayonto Dutta Plabon, Nazneen Nahar, Nishat Tasnim, Shah Murtaza Rashid Al Masud, Jungpil Shin, Moshiur Rahman Tonmoy (2026). “Transforming Healthcare Analytics : Federated Learning for Privacy-Preserving Liver Lesion Detection and Classification”, Federated Learning in Health Care Technology. Studies in Computational Intelligence, vol 1216. Springer, Singapore. https://doi.org/10.1007/978-981-96-8353-6_3, Nov 2025.
3. Md Sadman Hafiz, Asif Anwar, Jungpil Shin, M. F. Mridha, “Improving Agronomic Disease Detection and Classification: The Superiority of Hybrid Inception-Xception Ensemble Model for Rice Leaf Disease Classification”, Machine Vision in Plant Leaf Disease Detection for Sustainable Agriculture, https://doi.org/10.1007/978-981-96-4520-6_5, pp 57-67. Aug. 2025.
4. Baba Tatsuhiro, Abu Saleh Musa Miah, Jungpil Shin, Md. Al Mehedi Hasan, “Cervical Cancer Detection Using Multi-Branch Deep Learning Model”, Chapter 9 in “Applied Machine Learning on Sensing Technologies", Edited By Md Atiqur Rahman Ahad, Anton Nijholt, Md Abdus Samad Kamal, Björn Schuller, Matthew A. Turk, ISBN 9781032766423, CRC Press, July 9, 2025.
5. Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi, “Information Systems for Intelligent Systems” Proceedings of ISBM 2024, Volume 4, Nov. 2024
6. Vishal Goar, Aditi Sharma, Jungpil Shin, M. Firoz Mridha, “Deep Learning and Visual Artificial Intelligence”, Proceedings of ICDLAI 2024, the conference proceedings in the distinguished Springer book series, "Algorithms for Intelligent Systems" (https://www.springer.com/series/16171). June, 2024.　– BOOK
7. Md. Nahid Hasan, Adit Ishraq, Ashraful Alam Emon, Jungpil Shin, Md. Mohsin Kabir, “Advancing Breast Cancer Diagnosis: Attention-Enhanced U-Net for Breast Cancer Segmentation”, Chapter in Data-Driven Clinical Decision-making using Deep Learning in Imaging (Springer Book Series, Electronic ISSN 2731-5568), pp 207–226, Aug. 2024.
8. Md Sakib Hossain Shovon, Zafrin Sultana, Jungpil Shin, Durjoy Mistry, “Incorporating Residual Connections into a Multi-Channel CNN for Lung Cancer Detection in Digital Pathology”, Chapter in Data-Driven Clinical Decision-making using Deep Learning in Imaging (Springer Book Series, Electronic ISSN 2731-5568), pp 189–205, Aug. 2024.
9. Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akiko Suzuki, Akira Yasumura, ”Important Features Selection and Classification of Adult and Child from Handwriting using Machine Learning Methods”, Human and Artificial Intelligence, Edited by Alessandro Micarelli, Giuseppe Sansonetti and Giuseppe D’Aniello, pp.125-138, https://www.mdpi.com/books/reprint/8565-human-and-artificial-intelligence, Jan. 2024. Book chapter
10. Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi, Lecture Notes in Networks and Systems (LNNS, volume 833), Proceedings of World Conference on Information Systems for Business Management (ISBM 2023), September 7–8, 2023 https://link.springer.com/book/9789819983452. eBook ISBN　978-981-99-8346-9　Print ISBN　978-981-99-8345-2 -- BOOK
11. Md Sakib Hossain Shovon, Zafrin Sultana, Jungpil Shin, Durjoy Mistry, “Incorporating Residual Connections into a Multi-Channel CNN for Lung Cancer Detection in Digital Pathology”, Chapter in Data-Driven Clinical Decision-making using Deep Learning in Imaging (Springer Book Series, Electronic ISSN 2731-5568), Nov. 2023
12. M. M. Firoz, Jungpil Shin, “Improved Classification of Kidney Lesions in CT scans using CNN with Attention Layers: Achieving High Accuracy and Performance”
13. Jungpil Shin, "Handwritten Style English Font Generation Reflected Personality," Book Title: "Advanced Engineering Research and Applications (AERA)", Publisher: Research India Publications, Chapter 22, pp.330-344, April, 2017.
14. Jungpil Shin, “A Study for Pen-Computing System,” The Future of Fukushima, Fukushima Economic Research Institute, No. 321, pp. 28-31, May. 2009. (ISSN 0288-0954).
    愼重弼、「ペン・コンピューティングシステムに関する研究」、『福島の進路』、福島経済研究所、No.321、pp.28-31、 2009.5 (in Japanese)