2026
[107]
S. Yokoyama, T. Mizobe, H. Aihara, T. Hayashi, T. Urata, S. Kobashi, "Risk stratification of asymptomatic carotid plaque: a comparison of symptom onset and treatment eligibility prediction models," International Workshop on Advanced Imaging Technology (IWAIT) 2026, 2026. researchmap
2025
[106]
N. Takashima, T. Sanuki, Y. Kinoshita, S. Kobashi, "Improving Stool Segmentation in Abdominal X-Rays using Gas Mask Guidance with U-Net," 2025 International Conference on Machine Learning and Cybernetics (ICMLC), 2025. researchmap
[105]
S. Yokoyama, T. Mizobe, H. Aihara, T. Hayashi, T. Urata, S. Kobashi, "MAP-CARE: Predicting Future Surgical Intervention in Asymptomatic Carotid Stenosis Via Multi-Modal Radiomics," 2025 International Conference on Machine Learning and Cybernetics (ICMLC), 2025. researchmap
[104]
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, 2025. researchmap
[103]
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, 2025. researchmap
[102]
R. Hasegawa, T. Nakata, K. Ishii, S. Kobashi, "Image-to-Biomarker Prediction of CSF Amyloid-β via Multimodal Deep Learning on MRI and Brain Perfusion SPECT," Procedia Computer Science, 2025. researchmap
[101]
N. Takashima, T. Sanuki, Y. Kinoshita, Center, S. Kobashi, "Stool-Prioritized Segmentation via Anatomically Guided Multi-Task U-Net Segmentation in Abdominal X-ray Images," Proc. of The 26th International Symposium on Advanced Intelligent Systems, 2025. researchmap
[100]
S. Yokoyama, T. Mizobe, H. Aihara, T. Hayashi, T. Urata, S. Kobashi, "Predicting Therapeutic Intervention in Asymptomatic Carotid Plaque: A Comparative Study of Multi-modal MRI Radiomics and Deep Learning," Proc. of The 26th International Symposium on Advanced Intelligent Systems, 2025. researchmap
[99]
Y. Adachi, Y. Kawase, M. Gonda, A. Sakai, Y. Kodama, S. Kobashi, "Computer-Aided Surgery System Using Three-Dimensional Tomographic Images for Endoscopic Retrograde Cholangiopancreatography (ERCP): Preliminary Study," Proc. of The 26th International Symposium on Advanced Intelligent Systems, 2025. researchmap
[98]
S. T. Bhuiyan, R. Rahman, S. Wasi, N. Yagi, S. Kobashi, A. Islam, S. B. Alam, "Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis.," CoRR, 2025. researchmap
[97]
F. Sawa, N. Takashima, S. Ando, N. Yagi, K. Ando, R. Ishikawa, S. Kobashi, "Perturbation-Based Deep Learning Reveals Dynamic Spatiotemporal Shifts in Pediatric Brain Development from CT Imaging," International Conference on Machine Learning and Cybernetics, 2025. researchmap
[96]
Y. Sakaguchi, T. Fujita, S. Kobashi, "Self-Extubation Early Warning via Autoencoder Anomaly Detection and a Novel Simulator for Quantitative Evaluation," 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 2025. researchmap
[95]
M. A. Ali, D. Fujita, N. Miyahara, F. Namba, S. Kobashi, "Deep Learning for Early BPD Prediction Using Neonatal Chest X-Ray," International Forum on Medical Imaging in Asia, 2025. researchmap
2024
[94]
N. Takashima, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, S. Kobashi, "Effects of Brain Injury on Brain Age Estimation in Pediatric Brain CT images," World Automation Congress, in press.," World Automation Congress, 2024. researchmap
[93]
M. A. Ali, D. Fujita, S. Kobashi, "Advanced YOLOv7-Based Detection and Enumeration of Teeth and Restorations in Panoramic X-Rays," 2024 International Conference on Machine Learning and Cybernetics (ICMLC), 2024. researchmap
[92]
M. A. Ali, D. Fujita, S. Kobashi, "Automated Detection and Classification of Mandibular Third Molar Impactions in Panoramic X-Rays," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, 2024. researchmap
[91]
S. Kobayashi, D. Fujita, H. Shibutani, S. Gohara, S. Kobashi, "ESWL Outcome Prediction with SMOTE and Stratified Sampling," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, 2024. researchmap
[90]
F. Sawa, D. Fujita, K. Shimada, K. Ishii, S. Kobashi, "Differentiating Idiopathic Normal Pressure Hydrocephalus Using Multi-Head Attention CNN with Diversify-Loss in Brain MRI," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, 2024. researchmap
[89]
M. A. Ali, D. Fujita, Y. Makihara, K. Noguchi, S. Kobashi, "Automated Depth-Level Classification of Impacted Mandibular Third Molars Using Deep Learning on Panoramic X-Rays," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, 2024. researchmap
[88]
S. Ishida, K. Morita, K. Hatakeyama, N. Ren, S. Watanabe, S. Kobashi, K. Iihara, T. Wakabayashi, "Prediction of Cardiovascular Disease Development for CEA Patients Using Multimodal Learning," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, 2024. researchmap
[87]
A. Nagasawa, D. Fujita, S. Watanabe, N. Ren, K. Iihara, S. Kobashi, "Hierarchical U-Net and Image Patch Technique for Intracerebral Hematoma Segmentation in Thick-Slice CT Images," World Automation Congress, 2024. researchmap
[86]
N. A. Roza, R. Rahman, D. Fujita, S. Misaki, A. Seko, S. Tsuji, Y. Watanabe, S. Kobashi, "Novel Cine MRI Feature Extraction Method for Assessing Cesarean Scar Syndrome," World Automation Congress, 2024. researchmap
[85]
F. Sawa, D. Fujita, K. Shimada, K. Ishii, A. S, Kobashi, "Enhancing Differentiation Accuracy of Idiopathic Normal Pressure Hydrocephalus by Simultaneously Assessing GM and WM Using a Multi-input CNN in MRI," Hydrocephalus 2024, 2024. researchmap
[84]
M. A. Ali, D. Fujita, S. Kobashi, "Advanced YOLOv7-Based Detection and Enumeration of Teeth and Restorations in Panoramic X-rays," Proceedings ofInternational Conference on Machine Learning and Cybernetics, 2024. researchmap
[83]
N. Takashima, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, S. Kobashi, "Effects of Brain Injury on Brain Age Estimation in Pediatric Brain CT images," World Automation Congress, 2024. researchmap
2023
[82]
M. A. Ali, M. Haque, S. B. Alam, R. Rahman, M. Amin, S. Kobashi, "Medical Personal Protective Equipment Detection Using YOLOV7," Proceedings - International Conference on Machine Learning and Cybernetics, 2023. researchmap
[81]
T. Mori, D. Fujita, T. Hayashi, T. Mizobe, H. Aihara, S. Kobashi, "Radiomics Based Prediction of Symptomatic Carotid Plaque in MR Images," Proceedings - International Conference on Machine Learning and Cybernetics, 2023. researchmap
[80]
K. Oka, D. Fujita, K. Arimura, K. Iihara, S. Kobashi, "Discrimination of ICH and IVH in Initial CT Images Using Hierarchical Region Extraction Мethod," International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023. researchmap
[79]
N. Takashima, D. Fujita, T. Sanuki, Y. Kinoshita, S. Kobashi, "A Preliminary Study on Abdominal X-Ray Image Segmentation Using U-Net Models," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023. researchmap
[78]
S. Kobayashi, D. Fujita, H. Shibutani, S. Gohara, S. Kobashi, "Prediction of ESWL Outcome by Combining CT/X-Ray Images and Clinical Findings," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023. researchmap
[77]
N. Kondo, D. Fujita, S. Kobashi, T. Fujita, "Prediction of Bed-Leaving Behaviors Using Edge AI to Prevent Medical Accidents," Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2023. researchmap
[76]
S. A. U. Alam, S. B. Alam, S. Saha, M. Haque, R. Rahman, S. Kobashi, "Pelvic bone region segmentation (PBRS) from X-ray image using convolutional neural network (CNN)," 2023 26th International Conference on Computer and Information Technology, ICCIT 2023, 2023. researchmap
[75]
M. A. ALI, D. FUJITA, S. KOBASHI, "Teeth detection and numbering method in dental panoramic X-ray images using YOLOv7," The 24th International Symposium on Advanced Intelligent Systems (ISIS), 2023. researchmap
[74]
N. Takashima, D. Fujita, S. Kobashi, "Comparison of U-Net Backbones on Segmenting Gas and Stool Regions from Abdominal X-Ray Images," The 24th International Symposium on Advanced Intelligent Systems (ISIS), 2023. researchmap
[73]
S. Kobayashi, D. Fujita, S. Kobashi, "Interpretability of ESWL Outcome Prediction Model and Feature Selection Using SHAP values,," 24th International Symposium on Advanced Intelligent Systems, 2023. researchmap
[72]
R. Maeda, D. Fujita, S. Kobashi, "Deep Learning Approach for Early Detection and Prediction of Chronic Lung Disease in Neonates Chest X-ray Images," The 24th International Symposium on Advanced Intelligent Systems (ISIS), 2023. researchmap
[71]
Y. Muroi, D. Fujita, S. Kobashi, T. Fujita, "A Preliminary Study on a Sheet-Type Self-Extubation Detection Device," The 24th International Symposium on Advanced Intelligent Systems (ISIS), 2023. researchmap
[70]
K. Sasaki, D. Fujita, S. Kobashi, "Detection of Osteochondritis Dissecans from Ultrasound Images by Ensemble Deep Learning," The 24th International Symposium on Advanced Intelligent Systems (ISIS),, 2023. researchmap
[69]
S. Ishida, K. Morita, N. Ren, S. Watanabe, S. Kobashi, K. Hatakeyama, K. Iihara, T. Wakabayashi, "Prognostic Estimation of Cardiovascular Disease Using Anomaly Detection and Pathological Image of CEA Patients," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023. researchmap
[68]
S. Wasi, S. B. Alam, R. Rahman, M. A. Amin, S. Kobashi, "Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning," Proceedings of The International Symposium on Multiple-Valued Logic, 2023. researchmap
[67]
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, 2023. researchmap
[66]
K. Oka, D. Fujita, K. Arimura, K. Iihara, S. Kobashi, "Discrimination of Intracerebral Hematoma and Intraventricular Hemorrhage in Initial CT Images Using Hierarchical Region Extraction Method," Proceedings of SPIE - The International Society for Optical Engineering, 2023. researchmap
[65]
K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotoura, T. Sukenari, M. Minami, Y. Kobayashi, Y. Kida, K. Takahashi, S. Kobashi, "Detection of osteochondritis dissecans using convolutional neural networks for computer-aided diagnosis of baseball elbow," 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL), 2023. researchmap
[64]
R. Maeda, D. Fujita, K. Tanaka, J. Ozawa, M. Haga, N. Miyahara, F. Nanba, S. Kobashi, "Predicting the Development of Chronic Lung Disease in Neonataes from Chest X-ray Images Using Deep Learning," 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL), 2023. researchmap
2022
[63]
R. Maeda, D. Fujita, K. Tanaka, J. Ozawa, M. Haga, H. Miyahara, F. Nanba, S. Kobashi, "Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray images using deep learning," 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022. researchmap
[62]
F. Haque, M. B. I. Reaz, M. E. H. Chowdhury, R. Malik, M. Alhatou, S. Kobashi, I. Ara, S. H. M. Ali, A. A. A. Bakar, G. Srivastava, "A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations.," CoRR, 2022. researchmap
[61]
K. Oka, A. Ali, D. Fujita, S. Kobashi, "Tooth Recognition in X-Ray Dental Panoramic Images with Prosthetic Detection," 2022 International Conference on Machine Learning and Cybernetics (ICMLC), 2022. researchmap
[60]
K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotoura, M. Minami, Y. Kobayashi, T. Sukenari, Y. Kida, K. Takahashi, S. Kobashi, "Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow," 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022. researchmap
[59]
R. Morita, S. Ando, D. Fujita, S. Ishikawa, K. Onoue, K. Ando, R. Ishikura, S. Kobashi, "Pediatric Brain CT Image Segmentation Methods for Effective Age Prediction Models," 2022 World Automation Congress (WAC), 2022. researchmap
[58]
R. Morita, S. Ando, D. Fujita, S. Ishikawa, K. Onoue, K. Ando, R. Ishikura, S. Kobashi, "Quantification of Pediatric Brain Development with X-ray CT Images using 3D-CNN," 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022. researchmap
[57]
Y. Muroi, D. Fujita, K. Takahama, S. Kobashi, T. Fujita, "Medical Tubing Self-Extraction Trouble Avoidance Support System Using Flexible Sensor and IoT," 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022. researchmap
2021
[56]
K. Nakatsu, K. Morita, D. Fujita, S. Kobashi, "Comparison of Machine Learning Methods for Predicting Modified Total Shape Score in X-ray Radiography.," 2021 World Automation Congress(WAC), 2021. researchmap
[55]
F. P. Mahdi, S. Kobashi, "A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Modified Palmer Notation System," Intelligent Learning for Computer Vision, 2021. researchmap
[54]
R. Morita, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, S. Kobashi, "Brain Devlopment Age Prediction Using Convolutnal Neural Network on Pediatrics Brain Ct Mages.," 2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021. researchmap
[53]
K. Oka, D. Fujita, Y. Nohara, S. Inoue, K. Arimura, K. Iihara, S. Kobashi, "CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-Slice CT Images.," 2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021. researchmap
[52]
N. Yamamoto, D. Fujita, M. R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, S. Kobashi, "Boring Survey Based Fracture Detection (BSFD) for Fragility Fracture of the Pelvis in CT Images.," 2021 International Conference on Machine Learning and Cybernetics (ICMLC), 2021. researchmap
2020
[51]
B. Hossain, S. Nishio, H. Takafunio, S. Kobashi, "A deep learning approach for surgical instruments detection in orthopaedic surgery using transfer learning," Proceedings of SPIE - The International Society for Optical Engineering, 2020. researchmap
[50]
F. P. Mahdi, N. Yagi, S. Kobashi, "Automatic Teeth Recognition in Dental X-Ray Images Using Transfer Learning Based Faster R-CNN.," 50th IEEE International Symposium on Multiple-Valued Logic(ISMVL), 2020. researchmap
[49]
K. Motoki, F. P. Mahdi, N. Yagi, M. Nii, S. Kobashi, "Automatic Teeth Recognition Method from Dental Panoramic Images Using Faster R-CNN and Prior Knowledge Model.," Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS/ISIS), 2020. researchmap
[48]
S. Sakib, B. Hossain, T. Hiranaka, S. Kobashi, "Hand Frame Extraction in Surgical Video Images Using Convolutional Neural Network.," Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS/ISIS), 2020. researchmap
[47]
Y. Kubo, M. Nii, T. Muto, H. Tanaka, H. Inui, N. Yagi, K. Nobuhara, S. Kobashi, "Artificial humeral head modeling using Kmeans++ clustering and PCA," LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies, 2020. researchmap
[46]
S. Nishio, B. Hossain, N. Yagi, M. Nii, T. Hiranaka, S. Kobashi, "Surgical Phase Recognition Method with a Sequential Consistency for CAOS-AI Navigation System," LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies, 2020. researchmap
[45]
K. Nakatsu, K. Morita, N. Yagi, S. Kobashi, "Finger Joint Detection Method in Hand X-ray Radiograph Images Using Statistical Shape Model and Support Vector Machine," 2020 International Symposium on Community-Centric Systems, CcS 2020, 2020. researchmap
[44]
N. Yamamoto, R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, S. Kobashi, "An automated fracture detection from pelvic CT images with 3-D convolutional neural networks," 2020 International Symposium on Community-Centric Systems, CcS 2020, 2020. researchmap
2019
[43]
M. Nii, Y. Kato, M. Morimoto, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, T. Ishikawa, H. Matsubayashi, "Ovarian follicle classification using numerical and B-mode image features from ultrasound scanning devices," 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018, 2019. researchmap
[42]
S. Ahmed, T. Kishi, M. Nii, K. Higuchi, S. Kobashi, "Estimation of Human Activities by Fuzzy Classification Systems for Understanding Subject Persons' Situation," Proceedings - International Conference on Machine Learning and Cybernetics, 2019. researchmap
[41]
N. Tasnim, F. P. Mahdi, S. B. Alam, N. Yagi, A. Nakashima, I. Komesu, Y. Tokunaga, T. Sakumoto, S. Kobashi, "A Quantification Approach of Uterine Peristalsis Propagated from the Cervix and the Fundus," Proceedings - International Conference on Machine Learning and Cybernetics, 2019. researchmap
[40]
N. Yagi, M. Nii, S. Kobashi, "Abdominal organ area segmentation using u-net for cancer radiotherapy support," Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2019. researchmap
[39]
N. Shoichi, H. Belayat, N. Manabu, H. Takafumi, K. Syoji, "Workflow Recognition from Knee Surgical Videos: Role of Deep Neural Networks," International Symposium on Affective Science and Engineering (Web), 2019. researchmap
2018
[38]
M. Nii, S. Okajima, R. Sakashita, M. Hamada, S. Kobashi, "Tongue movement classification in chewing and swallowing using electromyography," 2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017, 2018. researchmap
[37]
Y. Kubo, B. Hossain, M. Nii, T. Muto, H. Tanaka, H. Inui, K. Nobuhara, S. Kobashi, "3-D Statistical Shape Model of the Humerus Towards Artificial Shoulder Joint Design," World Automation Congress Proceedings, 2018. researchmap
[36]
W. Marui, S. Kan, M. Nii, M. Shibata, S. Kobashi, "MD-LMS Algorithm Based Brain Functional Connectivity Analysis in Resting State fMRI," World Automation Congress Proceedings, 2018. researchmap
2017
[35]
K. Morita, M. Nii, S. Kambara, K. Kashiwa, H. Nakayama, S. Yoshiya, S. Kobashi, "Clinical big image data based pre-operative planning in ACL reconstruction," Proceedings - International Conference on Machine Learning and Cybernetics, 2017. researchmap
2013
[34]
S. Kobashi, H. Mita, K. Nakagawa, K. Nishiyama, H. Maeno, K. Kuramoto, Y. Hata, "Maritime Space Understanding Using Multiple Radar Systems by Iterative Image Reconstuction Algorithm," PROCEEDINGS OF THE 2013 IEEE WORKSHOP ON ROBOTIC INTELLIGENCE IN INFORMATIONALLY STRUCTURED SPACE (RIISS), 2013. researchmap
[33]
S. Kobashi, A. Hashioka, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, T. Ishikawa, S. Hirota, Y. Hata, "A priori knowledge based deformable surface model for newborn brain MR image segmentation," Proceedings of the 2013 4th International Workshop on Computational Intelligence in Medical Imaging, CIMI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 2013. researchmap
[32]
S. Kobashi, J. K. Udupa, "Fuzzy object models for newborn brain MR image segmentation," MEDICAL IMAGING 2013: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2013. researchmap
[31]
T. Fujimoto, H. Nakajima, N. Tsuchiya, H. Marukawa, K. Kuramoto, S. Kobashi, Y. Hata, "Wearable Human Activity Recognition by Electrocardiograph and Accelerometer," 2013 IEEE 43RD INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2013), 2013. researchmap
[30]
K. Tsukuda, T. Egawa, K. Taniguchi, K. Kuramoto, S. Kobashi, Y. Hata, "Fuzzy Damage Extraction Method for Ultrasonic Nondestructive Testing Images," 2013 IEEE 43RD INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2013), 2013. researchmap
[29]
T. Takeda, K. Kuramoto, S. Kobashi, Y. Hata, "A fuzzy human detection for security system using infrared laser camera," Proceedings of The International Symposium on Multiple-Valued Logic, 2013. researchmap
[28]
M. Kuki, H. Nakajima, N. Tsuchiya, K. Kuramoto, S. Kobashi, Y. Hata, "Mining multi human locations using thermopile array sensors," Proceedings of The International Symposium on Multiple-Valued Logic, 2013. researchmap
[27]
S. Kobashi, A. Toda, N. Shibanuma, Y. Hata, "Image-based evaluation of patient specific instrument attachment in TKA," Procedia Computer Science, 2013. researchmap
[26]
S. Kobashi, A. Toda, N. Shibanuma, Y. Hata, "Quantitative Evaluation of Patient Specific Instrument for Total Knee Arthoroplasty," 2013 INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), 2013. researchmap
[25]
S. Kobashi, K. Kuramoto, Y. Hata, "Interactive fuzzy connectedness image segmentation for neonatal brain MR image segmentation," 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013. researchmap
[24]
N. Yagi, K. Kuramoto, S. Kobashi, Y. Hata, T. Ishikawa, "Ultrasonic Frequency Response Analysis for Quantitative Measurements in Bone Marrow Stromal Cells," 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013. researchmap
[23]
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, 2013. researchmap
2012
[22]
Y. Hata, K. Kuramoto, S. Kobashi, H. Nakajima, "A Survey of Fuzzy Logic in Medical and Health Technology," 2012 WORLD AUTOMATION CONGRESS (WAC), 2012. researchmap
[21]
H. Mita, S. Kobashi, K. Nakagawa, K. Nishiyama, H. Maeno, K. Kuramoto, Y. Hata, "A Fusion Method for Marine Radar Images Using EM Algorithm," 2012 WORLD AUTOMATION CONGRESS (WAC), 2012. researchmap
[20]
A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, Y. Hata, "Shape and Appearance Knowledge Based Brain Segmentation for Neonatal MR Images," 2012 WORLD AUTOMATION CONGRESS (WAC), 2012. researchmap
[19]
A. Hashioka, K. Kuramoto, S. Kobashi, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, Y. Hata, "Fuzzy Object Shape Model for Newborn Brain MR Image Segmentation," 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012. researchmap
[18]
H. Tanii, K. Kuramoto, H. Nakajima, S. Kobashi, N. Tsuchiya, Y. Hata, "A Fuzzy Time-Series Prediction Model with Multi-Biological Data for Health Management," 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012. researchmap
[17]
Y. Kaku, K. Kuramoto, S. Kobashi, Y. Hata, "Asthmatic Attacks Prediction Considering Weather Factors Based on Fuzzy-AR Model," 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012. researchmap
[16]
Y. Takashima, T. Ishikawa, K. Kuramoto, S. Kobashi, Y. Hata, "Ultrasonic Thickness Evaluation of Seminiferous Tubule by Fuzzy Inference," 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012. researchmap
[15]
H. Tanii, K. Kuramoto, H. Nakajima, S. Kobashi, N. Tsuchiya, Y. Hata, "A Fuzzy-AR Model to Predict Human Body Weights," 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012. researchmap
[14]
Y. Takashima, T. Ishikawa, S. Kobashi, K. Kuramoto, Y. Hata, "Ultrasonic Evaluation of Seminiferous Tubules by Frequency Map," PROCEEDINGS OF THE 2012 FIFTH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2012), 2012. researchmap
[13]
T. Takeda, K. Kuramoto, S. Kobashi, Y. Hata, "Biometrics Personal Identification by Wearable Pressure Sensor," PROCEEDINGS OF THE 2012 FIFTH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2012), 2012. researchmap
[12]
Y. Kaku, K. Kuramoto, S. Kobashi, Y. Hata, "Predict Time Series Data for The Number of Asthmatic Attacks in Himeji by Fuzzy-AR Model," PROCEEDINGS OF THE 2012 FIFTH INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2012), 2012. researchmap
2010
[11]
N. Kawakami, S. Kobashi, K. Kuramoto, Y. T. Kitamura, K. Kagitani-Shimono, S. Imawaki, M. Taniike, Y. Hata, "Estimation method of cortical dysplasia degree using neural network in pediatric brain MR images," SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, 2010. researchmap
2000
[10]
S. Kobashi, Y. Hata, Y. T. Kitamura, T. Yanagida, "3-D Visualization of the Structure of Cerebral Blood Vessels Using Fuzzy Image Processing.," Proceedings of 4th Asian Fuzzy Systems Symposium, 2000. researchmap
[9]
S. Kobashi, Y. Hata, T. Yanagida, Y. Kitamura, H. Kitagaki, M. Ishikawa, "Automated blood vessel segmentation in 3-D time-of-flight MR angiography images using 3-D spatial fuzzy models," RADIOLOGY, 2000. researchmap
1999
[8]
Y. Hata, S. Kobashi, S. Hirano, M. Ishikawa, "Registration of multi-modality medical images by soft computing approach," ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 1999. researchmap
1998
[7]
H. Kitagaki, E. Mori, K. Ishii, S. Kobashi, Y. Hata, "Utility of automated hemispheric surface display of MRI in diagnosing for cortical atrophy," CAR '98 - COMPUTER ASSISTED RADIOLOGY AND SURGERY, 1998. researchmap
[6]
E. Mori, M. Yasuda, H. Kitagawa, S. Kobashi, Y. Hata, "Automated brain MRI volumetry demonstrated a genetic correlate of brain atrophy in Alzheimer's disease," CAR '98 - COMPUTER ASSISTED RADIOLOGY AND SURGERY, 1998. researchmap
[5]
Y. Hata, S. Kobashi, S. Hirano, "Medical image segmentation by fuzzy logic techniques," Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998. researchmap
1997
[4]
Y. Hata, S. Kobashi, N. Kamiura, M. Ishikawa, "Fuzzy logic approach to 3D magnetic resonance image segmentation," Lecture Notes in Computer Science, 1997. researchmap
[3]
S. Kobashi, N. Kamiura, Y. Hata, M. Ishikawa, "Automatic robust threshold finding aided by fuzzy information granulation," Proceedings of International Conference on Image Processing, 1997. researchmap
1996
[2]
S. Kobashi, N. Kamiura, Y. Hata, K. Yamato, "3D automatic extraction method of the brain regions aided by fuzzy matching techniques," SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING, 1996. researchmap
[1]
N. Morinaga, S. Kobashi, N. Kamiura, Y. Hata, K. Yamato, "Decomposition of the brain portions by fuzzy inference techniques," SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING, 1996. researchmap