2025
[11]
N. Takashima, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, S. Kobashi, "Impact of Brain Injuries on Pediatric Brain Age Estimation from CT Images Using 3D-Convolutional Neural Networks," Lecture Notes in Networks and Systems, pp. 312–321, 2025. DOI
[10]
N. A. Roza, S. Misaki, S. Kobashi, R. Rahman, A. Seko, D. Fujita, Y. Watanabe, "Novel Cine MRI Feature Extraction Method for Assessing Cesarean Scar Syndrome," Lecture Notes in Networks and Systems, pp. 123–132, 2025. DOI
2023
[9]
T. T. Mayabee, K. T. Haque, S. B. Alam, R. Rahman, M. A. Amin, S. Kobashi, "ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks," Lecture Notes in Networks and Systems, vol. 618 LNNS, pp. 243–254, 2023. DOI
2018
[8]
S. B. Alam, S. Kobashi, J. K. Udupa, "Fuzzy object growth model for neonatal brain MR understanding," Intelligent Systems Reference Library, vol. 140, pp. 209–222, 2018. DOI
2017
[7]
Y. Hata, S. Kobashi, H. Nakajima, "Medical and health management system of systems," Systems of Systems Engineering: Principles and Applications, pp. 233–250, 2017. DOI
2016
[6]
B. M. Hossain, M. Nii, T. Morooka, M. Okuno, S. Yoshiya, S. Kobashi, "Post-operative Implanted Knee Kinematics Prediction in Total Knee Arthroscopy Using Clinical Big Data," Lecture Notes in Computer Science, pp. 405–412, 2016. DOI
2015
[5]
K. Morita, S. Kobashi, K. Kashiwa, H. Nakayama, S. Kambara, M. Morimoto, S. Yoshiya, S. Aikawa, "Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction in MR Images," Procedia Computer Science, vol. 60, pp. 1659–1667, 2015. DOI
2014
[4]
H. Hata, S. Imawaki, K. Kuramoto, S. Kobashi, Y. Hata, "Ultrasonic Muscular Thickness Measurement in Temperature Variation," Advances in Intelligent Systems and Computing, pp. 65–75, 2014. DOI
[3]
T. Fujisawa, T. Egawa, K. Taniguchi, S. Kobashi, Y. Hata, "An Energy Visualization by Camera Monitoring," Advances in Intelligent Systems and Computing, pp. 51–64, 2014. DOI
[2]
S. Kikuchi, Y. Kaku, K. Kuramoto, S. Kobashi, Y. Hata, "Regional Analysis and Predictive Modeling for Asthmatic Attacks in Himeji City," Advances in Intelligent Systems and Computing, pp. 77–84, 2014. DOI
1997
[1]
Y. Hata, S. Kobashi, N. Kamiura, M. Ishikawa, "Fuzzy logic approach to 3D magnetic resonance image segmentation," Lecture Notes in Computer Science, pp. 387–392, 1997. DOI