Journal Papers

2026

[123] N. Takashima, D. Fujita, T. Sanuki, Y. Kinoshita, S. Kobashi, "Automated quantification of chronic constipation in X-rays using U-Net," Soft Computing, 2026. DOI

2025

[122] S. T. Bhuiyan, R. Rahman, R. Islam, M. Haque, M. Islam, S. Kobashi, S. B. Alam, "Lung Disease Diagnosis from CXR using Convolutional Neural Network (CNN): A Comparative Study," Soft Computing, vol. 29, no. 23-24, pp. 6333–6345, 2025. DOI

[121] S. Watanabe, N. Ren, Y. Imaoka, K. Morita, S. Kobashi, N. Mukae, K. Arimura, K. Nishimura, K. Iihara, "Clinically Applicable Machine Learning Approach to Predict Intracerebral Hematoma Expansion.," Journal of the American Heart Association, vol. 15, no. 1, 2025. DOI

[120] F. Sawa, D. Fujita, K. Shimada, H. Aihara, T. Uehara, Y. Koide, R. Kawasaki, K. Ishii, S. Kobashi, "Dynamic multi-scale deep learning with mixture of experts for differentiating iNPH and PSP using MRI.," International journal of computer assisted radiology and surgery, vol. 20, no. 12, pp. 2413–2422, 2025. DOI

[119] Y. Imaoka, K. Mikami, A. Fuchita, S. Ikeda, N. Ren, S. Watanabe, S. Abe, T. Yoshie, S. Namitome, S. Kobashi, H. Imamura, K. Iihara, "Comparative safety of stent retriever designs for intracranial atherosclerotic disease related large vessel occlusion using agarose models.," Scientific reports, vol. 15, no. 1, pp. 40952–40952, 2025. DOI

[118] Y. Imaoka, N. Ren, S. Ogata, S. Watanabe, T. Itatani, E. Kiyoshige, H. Imamura, K. Nishimura, S. Kobashi, Y. Kaku, K. Arimura, H. Fukuda, M. Ihara, T. Ohta, Y. Matsumaru, N. Sakai, T. Kitazono, S. Fujimoto, K. Ogasawara, K. Yoshimoto, A. Mukasa, K. Iihara, "Community-Level Compact City Design, Health Care Provision, and Outcomes of Patients With Stroke.," Journal of the American Heart Association, vol. 14, no. 15, 2025. DOI

[117] M. A. Ali, D. Fujita, H. Kishimoto, Y. Makihara, K. Noguchi, S. Kobashi, "Automated Impaction Angulation Measurement of Mandibular Third Molars for Winter’s Classification Using Deep Learning," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 29, no. 2, pp. 325–336, 2025. DOI

[116] M. A. Ali, R. Maeda, D. Fujita, N. Miyahara, F. Namba, S. Kobashi, "Early prediction of bronchopulmonary dysplasia in preterm infants using chest X-rays through a comparative analysis of 13 CNN models across different post-birth days," Discover Computing, vol. 28, no. 1, 2025. DOI

2024

[115] S. Watanabe, N. Ren, S. Ogata, Y. Nakaoku, A. Hagihara, S. Kobashi, H. Hiramatsu, T. Ohta, T. Noguchi, H. Kataoka, M. Ihara, K. Nishimura, K. Iihara, "Recurrent prediction within 1, 3, and 5 years after acute ischemic stroke based on machine learning using 10 years J-ASPECT study," Japanese Journal of Stroke, 2024. DOI

[114] Y. Imaoka, N. Ren, S. Ogata, H. Imamura, Y. Kaku, K. Arimura, S. Watanabe, E. Kiyoshige, K. Nishimura, S. Kobashi, M. Ihara, K. Kamiyama, M. Morimoto, T. Ohta, H. Endo, Y. Matsumaru, N. Sakai, T. Kitazono, S. Fujimoto, K. Ogasawara, K. Iihara, "CHA2DS2-VASc score and prior oral anticoagulant use on endovascular treatment for acute ischemic stroke.," Annals of clinical and translational neurology, vol. 11, no. 12, pp. 3103–3114, 2024. DOI

[113] S. Ishida, K. Morita, K. Hatakeyama, N. Ren, S. Watanabe, S. Kobashi, K. Iihara, T. Wakabayashi, "Prediction of cardiovascular events after carotid endarterectomy using pathological images and clinical data.," International journal of computer assisted radiology and surgery, 2024. DOI

[112] T. Sato, T. Nishino, N. Kawaguchi, H. Mori, H. Uchida, K. Murotani, Y. Kimura, I. Mizukura, S. Kobashi, O. Arrieta, "Personalized heart rate management through data-driven dynamic exercise control.," Scientific reports, vol. 14, no. 1, pp. 17270–17270, 2024. DOI

[111] D. FUJITA, Y. ADACHI, S. KOBASHI, "根管治療痕を考慮したパノラマX線画像における歯牙自動認識法," Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, vol. 36, no. 2, pp. 610–615, 2024. DOI

[110] R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, S. Kobashi, "Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT.," Scientific reports, vol. 14, no. 1, pp. 8004–8004, 2024. DOI

[109] K. Takatsuji, Y. Kida, K. Sasaki, D. Fujita, Y. Kobayashi, T. Sukenari, Y. Kotoura, M. Minami, S. Kobashi, K. Takahashi, "Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images.," The Journal of bone and joint surgery. American volume, vol. 106, no. 23, pp. 2196–2204, 2024. DOI

[108] K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotoura, M. Minami, Y. Kobayashi, T. Sukenari, Y. Kida, K. Takahashi, S. Kobashi, "Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization.," International journal of computer assisted radiology and surgery, vol. 19, no. 11, pp. 2143–2152, 2024. DOI

2023

[107] 藤田大輔, 山本偉嗣, 諸岡孝俊, 井石琢也, 牛飼武, 吉矢晋一, 小橋昌司, "Development of TKA treatment strategy by factor extraction method for patient satisfaction," Japanese Journal of Clinical Biomechanics (Web), vol. 44, pp. 127–133, 2023. researchmap

[106] R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, S. Kobashi, "Fragility Fracture of Pelvis Prediction from Computed Tomography Using Boring Survey and Convolutional Neural Network," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 27, no. 6, pp. 1079–1085, 2023. DOI

[105] M. A. Ali, D. Fujita, S. Kobashi, "Teeth and prostheses detection in dental panoramic X-rays using CNN-based object detector and a priori knowledge-based algorithm," Scientific Reports, vol. 13, no. 1, pp. 16542–16542, 2023. DOI

[104] F. Haque, M. B. I. Reaz, M. E. H. Chowdhury, M. I. B. Shapiai, R. A. Malik, M. Alhatou, S. Kobashi, I. Ara, S. H. M. Ali, A. A. A. Bakar, M. A. S. Bhuiyan, "A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument," Diagnostics, vol. 13, no. 2, pp. 264–264, 2023. DOI

[103] 奥田真矢, 藤田大輔, 田中洋, 無藤智之, 乾浩明, 小橋昌司, "Detection of Shoulder Rotator Cuff Tears from X-Ray Image by Using Convolutional Neural Network," 知能と情報, vol. 35, no. 1, pp. 593–597, 2023. DOI

2022

[102] K. Nakatsu, R. Rahman, K. Morita, D. Fujita, S. Kobashi, "Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 26, no. 1, pp. 42–50, 2022. DOI

2021

[101] 中津康平, 田中洋, 乾浩明, 信原克哉, 小橋昌司, "機械学習を用いた投球動作の運動学的パラメータからの競技レベル推定," 臨床バイオメカニクス, vol. 42, pp. 191–197, 2021. researchmap

[100] S. Ahmed, T. A. Bhuiyan, T. Kishi, M. Nii, S. Kobashi, "Human Activity Classification Based on Angle Variance Analysis Utilizing the Poincare Plot," Applied Sciences, vol. 11, no. 16, pp. 7230–7230, 2021. DOI

[99] K. Ukai, R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, S. Kobashi, "Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images.," Scientific reports, vol. 11, no. 1, pp. 11716–11716, 2021. DOI

[98] F. Haque, M. B. I. Reaz, M. E. Chowdhury, S. H. M. Ali, A. A. A. Bakar, T. Rahman, S. Kobashi, C. A. Dhawale, M. A. S. Bhuiyan, "A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations," Computers in Biology and Medicine, vol. 139, pp. 104954–104954, 2021. DOI

[97] D. Fujita, S. Harumoto, R. Deguchi, S. Yamashita, S. Kobashi, "Prediction of Ureter ESWL Outcome by Machine Learning and Model Interpretation Approach Using SHAP," International Journal of Biomedical Soft Computing and Human Sciences, vol. 26, no. 2, pp. 97–102, 2021. DOI

2020

[96] F. P. MahdiI., H. Tanaka, K. Nobuhara, S. Kobashi, "Automatic segmentation of the humerus region in 3-D shoulder CT images using U-Net," International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association, vol. 25, no. 2, pp. 67–74, 2020. DOI

[95] S. Nishio, B. Hossain, M. Nii, N. Yagi, T. Hiranaka, S. Kobashi, "Surgical Phase Recognition with Wearable Video Camera for Computer-aided Orthopaedic Surgery-AI Navigation System," International Journal of Affective Engineering, vol. 19, no. 2, pp. 137–143, 2020. DOI

[94] F. P. Mahdi, K. Motoki, S. Kobashi, "Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs," Scientific Reports, vol. 10, no. 1, pp. 19261–19261, 2020. DOI

[93] H. Tanaka, T. Hayashi, H. Inui, T. Muto, K. Tsuchiyama, H. Ninomiya, Y. Nakamura, S. Kobashi, K. Nobuhara, "Stride-Phase Kinematic Parameters That Predict Peak Elbow Varus Torque," Orthopaedic Journal of Sports Medicine, vol. 8, no. 12, pp. 2325967120968068–2325967120968068, 2020. DOI

[92] F. P. Mahdi, T. Muto, H. Tanaka, H. Inui, K. Nobuhara, S. Kobashi, "Construction of 3-D humeral head statistical shape model in CT images," Applied Sciences (Switzerland), vol. 10, no. 16, pp. 5591–5591, 2020. DOI

[91] B. Alam, M. Nii, A. Shimizu, S. Kobashi, "Spatiotemporal statistical shape model for temporal shape change analysis of adult brain," Current Medical Imaging Reviews, vol. 16, no. 5, pp. 499–506, 2020. DOI

[90] K. Morita, M. Nii, M. S. Koh, K. Kashiwa, H. Nakayama, S. Kambara, S. Yoshiya, S. Kobashi, "Bone tunnel placement determination method for 3-D images and its evaluation for anterior cruciate ligament reconstruction," Current Medical Imaging Reviews, vol. 16, no. 5, pp. 491–498, 2020. DOI

2019

[89] K. Morita, K. Ando, R. Ishikura, S. Kobashi, T. Wakanayashi, "Neonatal Brain MRI Segmentation Using Fine-Tuned Convolutional Neural Networks," International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association, vol. 24, no. 2, pp. 83–90, 2019. researchmap

[88] T. Muto, H. Inui, H. Ninomiya, H. Tanaka, K. Ishiro, K. Morita, S. Kobashi, K. Nobuhara, "MRIによる腱板断裂の画像診断 MRI画像を用いた3次元形状腱板断裂モデルの構築," Clinical Orthopaedic Surgery, vol. 54, no. 9, pp. 877–881, 2019. researchmap

[87] T. Morooka, M. Okuno, D. Seino, T. Iseki, S. Fukunishi, S. Kobashi, S. Yoshiya, "Intraoperative kinematic analysis of posterior stabilized total knee arthroplasty with asymmetric helical post-cam design," European Journal of Orthopaedic Surgery and Traumatology, vol. 29, no. 3, pp. 675–681, 2019. DOI

[86] K. Ukai, R. Rahman, S. Kobashi, "Facial skin blood perfusion change based liveness detection using video images," IEEJ Transactions on Sensors and Micromachines, vol. 139, no. 2, pp. 29–37, 2019. DOI

[85] K. Ukai, R. Rahman, S. Kobashi, "Facial skin blood perfusion change based liveness detection using video images," Electronics and Communications in Japan, vol. 102, no. 6, pp. 42–51, 2019. DOI

2018

[84] M. A. R. Ahad, S. Kobashi, J. M. R. S. Tavares, "Advancements of Image Processing and Vision in Healthcare.," Journal of healthcare engineering, vol. 2018, pp. 8458024–8458024, 2018. DOI

[83] M. Yasugi, B. Hossain, M. Nii, S. Kobashi, "Relationship Between Cerebral Aneurysm Development and Cerebral Artery Shape," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 22, no. 2, pp. 249–255, 2018. DOI

[82] K. Morita, M. Nii, N. Ikoma, T. Morooka, S. Yoshiya, S. Kobashi, "Implanted Knee Joint Kinematics Recognition in Digital Radiograph Images Using Particle Filter.," J. Adv. Comput. Intell. Intell. Informatics, vol. 22, no. 1, pp. 113–120, 2018. DOI

[81] T. Paul, U. A. Shammi, M. U. Ahmed, R. Rahman, S. Kobashi, M. Atiqur, R. Ahad, "A Study on Face Detection Using Viola-Jones Algorithm in Various Backgrounds, Angles and Distances," International Journal of Biomedical Soft Computing and Human Sciences, vol. 23, no. 1, pp. 27–36, 2018. DOI

[80] F. A. Isra, M. Zaman, M. U. Ahmed, S. Kobashi, M. Atiqur, R. Ahad, "A Study on Human Action Recognition Based on a Modified-MHI," International Journal of Biomedical Soft Computing and Human Sciences, vol. 23, no. 1, 2018. DOI

[79] M. Nii, Y. Kato, M. Morimoto, S. Kobashi, N. Kamiura, "Ovarian Follicle Classification using Convolutional Neural Networks from Ultrasound Scanning Images,," International Journal of Computer Vision and Signal Processing, vol. 8, no. 1, pp. 12–20, 2018. researchmap

[78] K. Ukai, R. Rahman, S. Kobashi, "Short-time Estimation of R-R Interval from Facial Video Image with a Multiple-Measurement-Points-Voting-Method," Transactions of the Institute of Systems, Control and Information Engineers, vol. 31, no. 12, pp. 403–411, 2018. DOI

[77] 神原俊一郎, 中山寛, 小橋昌司, 吉矢晋一, "内反変形膝に対するDouble Level Osteotomyの術後回旋アライメントの変化 3次元CTを用いた解析," 臨床バイオメカニクス, vol. 39, pp. 107–110, 2018. researchmap

[76] 盛田健人, 田下徳起, 新居学, 小橋昌司, "SVRを用いた手関節X線画像におけるリウマチmTSスコアの推定," Medical Imaging Technology, vol. 36, no. 5, pp. 238–242, 2018. researchmap

[75] B. Hossain, T. Morooka, M. Okuno, M. Nii, S. Yoshiya, S. Kobashi, "Surgical Outcome Prediction in Total Knee Arthroplasty using Machine Learning," Intelligent Automation and Soft Computing, pp. 1–17, 2018. DOI

2017

[74] 井城一輝, 盛田健人, 新居学, 田中洋, 小橋昌司, 信原克哉, "Reconstruction of 3-D torn rotator cuff model in open MRI for computer-aided diagnosis.," 臨床バイオメカニクス, vol. 38, pp. 113–118, 2017. researchmap

[73] B. Hossain, M. Nii, S. Yoshiya, S. Kobashi, "Fully-Automated Femoral Coordinate System Definition for Constructing Statistical Shape Model of Distal Femur," International Journal of Biomedical Soft Computing and Human Sciences, vol. 22, no. 2, pp. 73–83, 2017. DOI

[72] S. B. Alam, R. Rahman, M. Nii, S. Kobashi, Y. Hata, "Muscle thickness measurement from reflection echo of the boundary surface," International Journal of Computer Vision and Signal Processing, vol. 7, no. 1, pp. 1–9, 2017. researchmap

[71] N. KAMIURA, S. KOBASHI, M. NII, T. YUMOTO, I. YAMAMOTO, "On Map-Based Analysis of Item Relationships in Specific Health Examination Data for Subjects Possibly Having Diabetes," IEICE Transactions on Information and Systems, vol. E100.D, no. 8, pp. 1625–1633, 2017. DOI

[70] N. Manabu, N. Manabu, K. Riku, M. Masakazu, K. Syoji, K. Naotake, H. Yutaka, I. Seturo, I. Tomomoto, M. Hidehiko, "Ovarian Follicle Classification without Direct Deformation Information from Ultrasonic Images," International Journal of Biomedical Soft Computing and Human Sciences, vol. 22, no. 1, 2017. DOI

2016

[69] A. Yukawa, A. Kono, T. Nishii, N. Kamiura, S. Kobashi, Y. Hata, "Pulmonary artery domain region extraction from MDCT image," International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 1-2, pp. 479–486, 2016. DOI

[68] A. S.B., N. R., K. S., "Brain age estimation using multiple regression analysis in brain mr images," International Journal of Innovative Computing, Information and Control, vol. 12, no. 4, pp. 1385–1396, 2016. researchmap

[67] K. Morita, S. Kobashi, Y. Wakata, K. Ando, M. Morimoto, R. Ishikura, S. Aikawa, "Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm," Transactions of the Institute of Systems, Control and Information Engineers, vol. 29, no. 5, pp. 195–201, 2016. DOI

[66] 盛田健人, 小橋昌司, 柏薫里, 中山寛, 神原俊一郎, 森本雅和, 吉矢晋一, 相河聡, "Lateral Direction Estimation Method in Knee MRI for Anterior Cruciate Ligament Reconstruction: ALC再建術のための膝MR画像正側面方向推定法," 臨床バイオメカニクス, vol. 37, pp. 193–198, 2016. researchmap

[65] S. Furukawa, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, T. Ishikawa, "Continuous-wavelet-transform-based visualization for seminiferous tubule using broadband ultrasonic imaging," International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 1-2, pp. 461–469, 2016. DOI

2015

[64] Y. Matsuo, M. Watanabe, M. Taniike, I. Mohri, S. Kobashi, M. Tachibana, Y. Kobayashi, Y. Kitamura, "Gap Effect Abnormalities during a Visually Guided Pro-Saccade Task in Children with Attention Deficit Hyperactivity Disorder," PLOS ONE, vol. 10, no. 5, pp. e0125573–e0125573, 2015. DOI

[63] N. Ryosuke, K. Syoji, K. Kei, W. Yuki, A. Kumiko, I. Reiichi, I. Tomomoto, H. Shozo, H. Yutaka, "Automatic Segmentation of Brain Region from MR Images Using Fuzzy Object Growth Model," Medical Imaging Technology, vol. 33, no. 2, pp. 49–57, 2015. DOI

[62] T. Ryota, K. Naotake, I. Teijiro, K. Syoji, T. Hitoshi, Y. Tomofusa, "On Personal Identication for Ophthalmological Patients Based on Clinical Data Measured by Optical Coherence Tomography," Transactions of the Institute of Systems, Control and Information Engineers, vol. 28, no. 4, pp. 155–160, 2015. DOI

2014

[61] Y. Mori, T. Chen, T. Fujisawa, S. Kobashi, K. Ohno, S. Yoshida, Y. Tago, Y. Komai, Y. Hata, Y. Yoshioka, "From cartoon to real time MRI: in vivo monitoring of phagocyte migration in mouse brain," Scientific Reports, vol. 4, no. 1, 2014. DOI

[60] 多田翔平, 小橋昌司, 今村史明, 諸岡孝俊, 倉本圭, 吉矢晋, 畑豊, "相対姿勢評価による人工膝関節動態画像解析の精度向上," 臨床バイオメカニクス, vol. 35, pp. 149–153, 2014. researchmap

[59] T. Takeda, Y. Sakai, S. Kobashi, K. Kuramoto, Y. Hata, "Foot Age Estimation System from Walking Dynamics Based on Fuzzy Logic," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 18, no. 4, pp. 489–498, 2014. DOI

2013

[58] S. Hayashi, T. Nishiyama, T. Fujishiro, N. Kanzaki, N. Shibanuma, S. Kobashi, M. Kurosaka, "Automated pelvic anatomical coordinate system is reproducible for determination of anterior pelvic plane," Computer Methods in Biomechanics and Biomedical Engineering, vol. 16, no. 9, pp. 937–942, 2013. DOI

[57] N. Yagi, T. Ishikawa, K. Kuramoto, S. Kobashi, Y. Hata, "Noninvasive cellular quantity measurement in Bone Marrow Stromal Cells/ Beta-tricalcium phosphate.," Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2013, pp. 2048–51, 2013. DOI

[56] S. Kobashi, J. K. Udupa, "Fuzzy connectedness image segmentation for newborn brain extraction in MR images.," Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2013, pp. 7136–9, 2013. DOI

[55] N. Yagi, M. Nakamura, K. Kuramoto, S. Kobashi, Y. Hata, "Noninvasive Diagnosis of Blood Flow for Transcranial Doppler Ultrasonography," International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol. 5, no. 1, pp. 67–79, 2013. DOI

[54] T. T., K. K., K. S., H. Y., "A Fuzzy Moving Object Estimation Using Infrared TOF Camera," International Journal of Intelligent Computing in Medical Sciences and Image Processing, vol. 5, no. 2, pp. 147–160, 2013. DOI

[53] S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, Y. Hata, "Newborn Brain MR Image Segmentation Using Deformable Surface Model Based on Fuzzy Knowledge Models," International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol. 5, no. 2, pp. 115–124, 2013. DOI

[52] T. T., K. K., K. S., H. Y., "On optimal operator for combining left and right sole pressure data in biometrics security," Advances in Fuzzy Systems, 2013. DOI

2011

[51] S. Kobashi, D. Yokomichi, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, S. Hirota, Y. Hata, "Cerebral Contour Extraction with Particle Method in Neonatal MR Images," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 15, no. 3, pp. 362–369, 2011. DOI

[50] A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, Y. Hata, "A neonatal brain MR image template of 1 week newborn," International Journal of Computer Assisted Radiology and Surgery, vol. 7, no. 2, pp. 273–280, 2011. DOI

[49] Y. Tsumori, S. Yoshiya, M. Kurosaka, S. Kobashi, N. Shibanuma, M. Yamaguchi, "Analysis of Weight-Bearing Kinematics of Posterior-Stabilized Total Knee Arthroplasty With Novel Helical Post-Cam Design," The Journal of Arthroplasty, vol. 26, no. 8, pp. 1556–1561, 2011. DOI

[48] 中島祐介, 小橋昌司, 今村史明, "Automated 3-D kinematis analysis of TKA knee with 2-D digital radiograph video using Monte Carlo method," Japanese journal of clinical biomechanics, vol. 32, pp. 497–502, 2011. researchmap

[47] T. Takeda, K. Kuramoto, S. Kobashi, Y. Hata, "Fuzzy-logic is precise—Its application to biometric system," Scientia Iranica, vol. 18, no. 3, pp. 655–662, 2011. DOI

[46] Y. Hata, S. Kobashi, K. Kuramoto, H. Nakajima, "A fuzzy biosignal detection algorithm and its application to health monitoring," Applied and Computational Mathematics, vol. 10, no. 1, pp. 133–145, 2011. researchmap

2010

[45] S. Tsuji-Akimoto, S. Hamada, I. Yabe, I. Tamura, M. Otsuki, S. Kobashi, H. Sasaki, "Writing errors as a result of frontal dysfunction in Japanese patients with amyotrophic lateral sclerosis.," Journal of neurology, vol. 257, no. 12, pp. 2071–7, 2010. DOI

[44] S. Kobashi, N. Shibanuma, Y. Hata, "Fuzzy visual hull algorithm for three-dimensional shape reconstruction of TKA implants from X-ray cone-beam images," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 14, no. 2, pp. 122–127, 2010. DOI

[43] H. Yamaguchi, H. Nakajima, K. Taniguchi, S. Kobashi, Y. Hata, "An ultrasonic and air pressure sensing system for detection of behavior before getting out of bed aided by fuzzy theory," IEICE Transactions on Information and Systems, vol. E93-D, no. 3, pp. 542–549, 2010. DOI

[42] S. Kobashi, Y. Hata, "Lung lobar segmentation using tubular tissue density from multidetector-row CT images," International Journal of Innovative Computing, Information and Control, vol. 6, no. 3, pp. 829–842, 2010. researchmap

[41] Y. Hata, T. Yamakawa, S. Kobashi, K. Kuramoto, K. Asari, K. Taniguchi, "Personal Classification Based on Sole Pressure Changes," IEEJ Transactions on Electronics, Information and Systems, vol. 130, no. 11, pp. 1953–1959, 2010. DOI

[40] K. Syoji, N. Yusuke, Y. Shinichi, "Automated 3-D Kinematics Analysis of Implanted Knee with 2-D Digital Radiography Video," Medical Imaging Technology, vol. 28, no. 5, pp. 317–321, 2010. DOI

2009

[39] Y. Hata, S. Kobashi, S. Imawaki, "An ultrasonic thickness and wave speed determination system aided by fuzzy logic," International Journal of Computer Applications in Technology, vol. 34, no. 4, pp. 257–263, 2009. DOI

[38] Y. Hata, S. Kobashi, "Fuzzy segmentation of endorrhachis in magnetic resonance images and its fuzzy maximum intensity projection," APPLIED SOFT COMPUTING, vol. 9, no. 3, pp. 1156–1169, 2009. DOI

[37] Y. Hata, S. Kobashi, H. Nakajima, "Human Health Care System of Systems," IEEE SYSTEMS JOURNAL, vol. 3, no. 2, pp. 231–238, 2009. DOI

2008

[36] Y. Mizuno-Matsumoto, S. Kobashi, Y. Hata, O. Ishikawa, F. Asano, "Horticultural Therapy has Beneficial Effects on Brain Functions in Cerebrovascular Diseases," International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol. 2, no. 3, pp. 169–182, 2008. DOI

[35] S. Kobashi, Y. T. Kitamura, T. Yanagida, Y. Hata, "Hemodynamic Response Latency Analysis Using Wavelet Transform in Event-related Functional MRI," International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol. 2, no. 3, pp. 195–206, 2008. DOI

[34] S. K. M. Matshui, N. I. K. Kondo, T. Sawada, Y. Hata, "Cerebral Cortex Segmentation with Adaptive Fuzzy Spatial Modeling in 3.0T IR-FSPGR MR Images," 知能と情報, vol. 20, no. 1, pp. 29–40, 2008. DOI

[33] K. Masahiro, K. Syoji, K. Katsuya, H. Yutaka, K. Y. T, Y. Toshio, "Fuzzy Ultrasonic Imaging System for Visualizing Brain Surface and Skull Considering Refraction," 知能と情報, vol. 20, no. 1, pp. 79–89, 2008. DOI

[32] S. Kobashi, Y. Yahata, S. Kan, M. Misaki, T. Koike, K. Kondo, S. Miyauchi, Y. Hata, "Eye Position Estimation During Sleep Using Infrared Video in Functional MRI," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 12, no. 1, pp. 32–40, 2008. DOI

2007

[31] S. Kobashi, Y. Yanagida, K. Kondo, Y. Hata, "Elasticity Imaging of the Lung with Fuzzy Control-Based Image Registration Using Multidetector-Row CT," International Journal of Intelligent Computing in Medical Sciences & Image Processing, vol. 1, no. 2, pp. 139–147, 2007. DOI

[30] S. Kobashi, K. Nagamune, "Special issue on medical engineering," IC-MED International Journal of Intelligent Computing in Medical Sciences and Image Processing, vol. 1, pp. 91–92, 2007. DOI

[29] M. Endo, K. Nagamune, N. SHibanuma, S. Kobashi, K. Kondo, Y. Hata, "Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone," IEICE Transactions on Information and Systems, vol. E90-D, no. 12, pp. 1990–1997, 2007. DOI

[28] Y. KAMOZAKI, T. SAWAYAMA, K. TANIGUCHI, S. KJobashi, K. Kondo, Y. Hata, "A New Ultrasonic Oscillosensor and Its Application in Biological Information Measurement System Aided by Fuzzy Theory," IEICE Transactions on Information and Systems, vol. E90-D, no. 11, pp. 1864–1872, 2007. DOI

[27] K. Daisuke, K. Syoji, S. Nao, O. Akira, Y. Masayoshi, K. Katsuya, Y. Shinichi, H. Yutaka, "Automated Analysis of Knee Kinematics after Anterior Cruciate Ligament Reconstruction Using Multidetector-row CT and Digital Radiography," 日本臨床バイオメカニクス学会誌 = Proceedings of ... Annual Meeting of Japanese Society for Clinical Biomechanics and Related Research, vol. 28, pp. 341–347, 2007. researchmap

2006

[26] S. Kobashi, Y. Fujiki, M. Matsui, N. Inoue, K. Kondo, Y. Hata, T. Sawada, "Interactive segmentation of the cerebral lobes with fuzzy inference in 3T MR images.," IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, vol. 36, no. 1, pp. 74–86, 2006. DOI

[25] S. Kobashi, K. Kondo, Y. Hata, "Computer-aided diagnosis of intracranial aneurysms in MRA images with case-based reasoning," IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, vol. E89D, no. 1, pp. 340–350, 2006. DOI

[24] , "Effect of the needle tip shape on fall of force after puncture in epidural anesthesia," International Journal of Computer Assisted Radiology and Surgery, vol. 1, no. S1, pp. 487–515, 2006. DOI

[23] D. Kubo, S. Kobashi, A. Okayama, N. Shibanuma, M. Yagi, K. Kondo, S. Yoshiya, Y. Hata, "Fully automated measurement of 3D knee kinematics after anterior cruciate ligament reconstruction using multidetector-row CT and X- Ray fluoroscopic images," International Journal of Computer Assisted Radiology and Surgery, vol. 1, no. SUPPL. 7, pp. 237–239, 2006. DOI

[22] S. Kobashi, K. Kondo, Y. Hata, "Fully Automated Segmentation of Cerebral Ventricles from 3-D SPGR MR Images using Fuzzy Representative Line," Soft Computing, vol. 10, no. 12, pp. 1181–1191, 2006. DOI

[21] K. Syoji, K. Yuri, K. Katsuya, H. Yutaka, Y. Toshio, "近赤外分光装置を用いたファジィ脳領野識別に基づく言語優位半球度算出法," Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, vol. 18, no. 3, pp. 414–424, 2006. DOI

2005

[20] Y. Hata, S. Kobashi, K. Kondo, Y. T. Kitamura, T. Yanagida, "Transcranial ultrasonography system for visualizing skull and brain surface aided by fuzzy expert system.," IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, vol. 35, no. 6, pp. 1360–73, 2005. DOI

[19] 餘語佐斗志, 小橋昌司, 近藤克哉, 畑豊, "ニューラルネットワークを用いた脳動脈瘤コンピュータ診断支援システムの構築," Medical Imaging Technology, vol. 23, no. 5, pp. 333–338, 2005. DOI

[18] S. I. S. K. Y. T. K. K. K. Y. H. T. Yanagida, "Unsupervised Method for Analyzing fMRI Data Using Wavelet Transform," Medical Imaging Technology, vol. 23, no. 4, pp. 220–220, 2005. DOI

[17] S. Shingo, K. Syoji, K. Katsuya, H. Yutaka, "Knowledge-based Automatic Labeling of Cortical Sulci in 3-D Brain MR Images," Medical Imaging Technology, vol. 23, no. 4, pp. 211–211, 2005. DOI

[16] Y. Hata, S. Kobashi, K. Kondo, T. Nakano, "Automated 3D Surface Display for Evaluating Meniscal Tears Aided by Fuzzy Expert System," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 9, no. 1, pp. 70–79, 2005. DOI

[15] S. Kobashi, T. Tomosada, N. Shibanuma, M. Yamaguchi, H. Muratsu, K. Kondo, S. Yoshiya, Y. Hata, M. Kurosaka, "Fuzzy Image Matching for Pose Recognition of Occluded Knee Implants Using Fluoroscopy Images," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 9, no. 2, pp. 181–195, 2005. DOI

2004

[14] K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, K. Taniguchi, T. Sawayama, "Unconstrained Evaluation System for Heart Rate Using Ultrasonic Vibrograph," Japanese Journal of Applied Physics, vol. 43, no. 5S, pp. 3237–3237, 2004. DOI

[13] S. Kobashi, K. Kondo, Y. Hata, "Target image enhancement using representative line in MR cholangiography images," International Journal of Imaging Systems and Technology, vol. 14, no. 3, pp. 122–130, 2004. DOI

2003

[12] K. Nagamune, K. Taniguchi, S. Kobashi, Y. Hata, "Automated extraction system of embedded tubes from pulse radar image based on fuzzy expert system," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, no. 7, pp. 1778–1789, 2003. researchmap

[11] K. Nagamune, K. Taniguchi, S. Kobashi, Y. Hata, "Ultrasonic nondestructive evaluation for embedded objects in concrete aided by fuzzy logic," IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, vol. E86D, no. 1, pp. 79–88, 2003. researchmap

[10] T. Kimura, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, K. Taniguchi, "A Fuzzy Inference System for Identifying Tissue Elasticity Using Ultrasound," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 7, no. 1, pp. 31–39, 2003. DOI

[9] Y. Fujiki, S. Kobashi, M. Matsui, N. Inoue, K. Kondo, Y. Hata, T. Sawada, "Interactive 3-D Segmentation of the Frontal Lobe in 3.0T IR-FSPGR MR Images Using Fuzzy Rule-Based ACM," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 7, no. 2, pp. 189–199, 2003. DOI

2002

[8] T. Okuzaki, S. Hirano, S. Kobashi, Y. Hata, Y. Takahashi, "A rough set based clustering method by knowledge combination," IEICE Transactions on Information and Systems, vol. E85-D, no. 12, pp. 1898–1908, 2002. researchmap

2001

[7] S. Kobashi, N. Kamiura, Y. Hata, F. Miyawaki, "Volume-quantization-based neural network approach to 3D MR angiography image segmentation," Image and Vision Computing, vol. 19, no. 4, pp. 185–193, 2001. DOI

2000

[6] S. Kobashi, N. Kamiura, Y. Hata, F. Miyawaki, "Fuzzy information granulation on blood vessel extraction from 3D TOF MRA image," International Journal of Pattern Recognition and Artificial Intelligence, vol. 14, no. 4, pp. 409–425, 2000. DOI

[5] S. Kobashi, Y. Hata, Y. T. Kitamura, T. Yanagida, "A fuzzy rule-based region growing method for segmentating 3-D dynamic MRI.," Biomedical Soft Computing and Human Sciences, vol. 6, no. 1, pp. 85–94, 2000. DOI

[4] Y. Hata, S. Kobashi, S. Hirano, H. Kitakagaki, E. Mori, "Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference," IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 30, no. 3, pp. 381–395, 2000. DOI

1998

[3] H. Kitagaki, E. Mori, S. Yamaji, K. Ishii, N. Hirono, S. Kobashi, Y. Hata, "Frontotemporal dementia and Alzheimer disease: Evaluation of cortical atrophy with automated hemispheric surface display generated with MR images," Radiology, vol. 208, no. 2, pp. 431–439, 1998. DOI

[2] K. Syoji, K. Naotake, H. Yutaka, "Fuzzy Information Granulation on Segmentation of Human Brain MR Images," Journal of Japan Society for Fuzzy Theory and Systems, vol. 10, no. 1, pp. 117–125, 1998. DOI

1996

[1] S. Kobashi, N. Morinaga, S. Hirano, N. Kamiura, Y. Hata, K. Yamato, "Computer Aided System for the Diagnosis of the Alzheimer's Disease," IEEJ Transactions on Electronics, Information and Systems, vol. 116, no. 11, pp. 1238–1245, 1996. DOI