Papers - Satoshi Kondo

1. CNDD-Net: A Lightweight Attention-Based Convolutional Neural Network for Classifying Corn Nutritional Deficiencies and Leaf Diseases

   Suresh Timilsina, Sandhya Sharma, Samir Gnawali, Kazuhiko Sato, Yoshifumi Okada, Shinya Watanabe, Satoshi Kondo，electronics，vol.14，(7)，Article Number:1482，2025.04

   

2. Estimating the Amount of Air Inside the Stomach for Detecting Cancers on Gastric Radiographs Using Artificial Intelligence: an Observational, Cross-sectional Study

   Chiharu Kai, Takahiro Irie, Yuuki Kobayashi, Hideaki Tamori, Satoshi Kondo, Akifumi Yoshida, Yuta Hirono, Ikumi Sato, Kunihiko Oochi, Satoshi Kasai，Journal of Imaging Informatics in Medicine，2025.02

   

3. Crowd Anomaly Detection from Drone and Ground

   Yoshiki Ito, Tatsuya Sasaki, Satoshi Kondo，IEEE Access，(p.28824 ～ 28835)，2025.02

   

4. LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

   R. Dorent, R. Khajavi, T. Idris, E. Ziegler, B. Somarouthu, H. Jacene, A. LaCasce, J. Deissler, J. Ehrhardt, S. Engelson, S. M. Fischer, Y. Gu, H. Handels, S. Kasai, S. Kondo, K. Maier-Hein, J. A. Schnabel, G. Wang, L. Wang, T. Wald, G. Yang, H. Zhang, M. Zhang, S. Pieper, G. Harris, R. Kikinis, T. Kapur, ，Melba Journal，vol.3，2025.01

   

5. A logistic model for precise tomato fruit-growth prediction based on diameter-time evolution

   Stefan Baar , Yosuke Kobayashi, Tatsuro Horie, Kazuhiko Sato, Satoshi Kondo, Shinya Watanabe，Computers and Electronics in Agriculture，vol.227，(1)，Article Number:109500，2024.12

   

6. Developing an Alert System for Agricultural Protection: Sika Deer Detection Using Raspberry Pi

   Sandhya Sharma, Buchaputara Pansri, Suresh Timilsina, Bishnu Prasad Gautam, Yoshifumi Okada, Shinya Watanabe,Satoshi Kondo, Kazuhiko Sato，electronics，vol.13，(23)，2024.12

   

7. The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

   P. Weitz, M. Valkonen, L. Solorzano, C. Carr, K. Kartasalo, C. Boissin, S. Koivukoski, A. Kuusela, D. Rasic, Y. Feng, S. S. Pouplier, A. Sharma, K. L. Eriksson, S. Robertson, C. Marzahl, C. D. Gatenbee, A. R. Anderson, M. Wodzinski, A. Jurgas, N. Marini, M. Atzori, H. Müller, D. Budelmann, N. Weiss, S. Heldmann, J. Lotz, J. M. Wolterink, B. D. Santi, A. Patil, A. Sethi, S. Kondo, S. Kasai, K. Hirasawa, M. Farrokh, N. Kumar, R. Greiner, L. Latonen, A. Laenkholm, J. Hartman, P. Ruusuvuori, M. Rantalainen,，Medical Image Analysis，vol.97，Article Number:103257，2024.10

   

8. Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

   E. M. Huijben, M. L. Terpstra, A. J. Galapon, S. Pai, A. Thummerer, P. Koopmans, M. Afonso, M. van Eijnatten, O. Gurney-Champion, Z. Chen, Y. Zhang, K. Zheng, C. Li, H. Pang, C. Ye, R. Wang, T. Song, F. Fan, J. Qiu, Y. Huang, J. Ha, J. S. Park, A. Alain-Beaudoin, S. Bériault, P. Yu, H. Guo, Z. Huang, G. Li, X. Zhang, Y. Fan, H. Liu, B. Xin, A. Nicolson, L. Zhong, Z. Deng, G. Müller-Franzes, F. Khader, X. Li, Y. Zhang, C. Hémon, V. Boussot, Z. Zhang, L. Wang, L. Bai, S. Wang, D. Mus, B. Kooiman, C. A. Sargeant, E. G. Henderson, S. Kondo, S. Kasai, R. Karimzadeh, B. Ibragimov, T. Helfer, J. Dafflon, Z. Chen, E. Wang, Z. Perko, M. Maspero，Medical Image Analysis，vol.97，Article Number:103276，2024.10

   

9. Enhancing Sika Deer Identification: Integrating CNN-Based Siamese Networks with SVM Classification

   Sharma, Sandhya, Suresh Timilsina, Bishnu Prasad Gautam, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato，Electronics，vol.13，(11)，Article Number:2067，2024.05

   

10. Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

    M. Aubreville, N. Stathonikos, T. A. Donovan, R. Klopfleisch, J. Ammeling, J. Ganz, F. Wilm, M. Veta, S. Jabari, M. Eckstein, J. Annuscheit, C. Krumnow, E. Bozaba, S. Çayır, H. Gu, X. ‘. Chen, M. Jahanifar, A. Shephard, S. Kondo, S. Kasai, S. Kotte, V. Saipradeep, M. W. Lafarge, V. H. Koelzer, Z. Wang, Y. Zhang, S. Yang, X. Wang, K. Breininger, C. A. Bertram ，Medical Image Analysis，vol.94，Article Number:103155，2024.05

    

11. Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms

    Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai，Diagnostics，vol.14，(11)，Article Number:1131，2024.05

    

12. Spirometry test values can be estimated from a single chest radiograph

    Akifumi Yoshida, Chiharu Kai, Hitoshi Futamura, Kunihiko Oochi, Satoshi Kondo, Ikumi Sato, Satoshi Kasai，Frontiers in Medicine，vol.11，2024.03

    

13. Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence

    Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, Satoshi Kondo, Hitoshi FutamuraHitoshi Futamura, Naoki Kodama, Satoshi Kasai，Frontiers in Oncology，vol.14，2024.03

    

14. 大型鍛鋼品に対するコスト見積もりのための形状の類似度に基づく類似度算出手法の提案

    松尾 隼河, 近藤 敏志, 今村 祐輔, 高瀨 健治, 渡邉 真也，情報処理学会論文誌 数理モデル化と応用，vol.17，(1)，(p.1 ～ 10)，2024.02

    

15. AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

    C. de Vente, K. A. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le, A. Galdran, M. Á. G. Ballester, G. Carneiro, D. R. G, H. P. S, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Á. Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. C. Lee, H. B. Cho, Y. H. Choi, A. Qayyum, I. Razzak, B. v. Ginneken, H. G. Lemij, C. I. Sánchez，IEEE Transactions on Medical Imaging，vol.43，(1)，(p.542 ～ 557)，2024.01

    

16. CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection

    C. I. Nwoye, T. Yu, S. Sharma, A. Murali, D. Alapatt, A. Vardazaryan, K. Yuan, J. Hajek, W. Reiter, A. Yamlahi, F. Smidt, X. Zou, G. Zheng, B. Oliveira, H. R. Torres, S. Kondo, S. Kasai, F. Holm, E. Özsoy, S. Gui, H. Li, S. Raviteja, R. Sathish, P. Poudel, B. Bhattarai, Z. Wang, G. Rui, M. Schellenberg, J. L. Vilaça, T. Czempiel, Z. Wang, D. Sheet, S. K. Thapa, M. Berniker, P. Godau, P. Morais, S. Regmi, T. N. Tran, J. Fonseca, J. Nölke, E. Lima, E. Vazquez, L. Maier-Hein, N. Navab, P. Mascagni, B. Seeliger, C. Gonzalez, D. Mutter, N. Padoy，Medical Image Analysis，Article Number:102888，2023.10

    

17. Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions

    Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano, Kazuya Takagi，BMC Medical Imaging，vol.23，Article Number:114，2023.08

    

18. 乳房X線画像における乳房構成解析（Breast Density Assessment）ソフトウェアの有用性

    櫻井 典子，甲斐 千遥，長 和弘，近藤 敏志，児玉 直樹，笠井 聡，日本診療放射線技師会誌，vol.70，(8)，(p.756 ～ 763)，2023.07

    

19. PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?

    A. Huaulmé, K. Harada, Q. Nguyen, B. Park, S. Hong, M. Choi, M. Peven, Y. Li, Y. Long, Q. Dou, S. Kumar, S. Lalithkumar, R. Hongliang, H. Matsuzaki, Y. Ishikawa, Y. Harai, S. Kondo, M. Mitsuishi, P. Jannin，Computer Methods and Programs in Biomedicine，vol.236，Article Number:107561，2023.06

    

20. Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

    M. Wagner, B.-P. Müller-Stich, A. Kisilenko, D. Tran, P. Heger, L. Mündermann, D. M. Lubotsky, B. Müller, T. Davitashvili, M. Capek, A. Reinke, T. Yu, A. Vardazaryan, C. I. Nwoye, N. Padoy, X. Liu, E.-J. Lee, C. Disch, H. Meine, T. Xia, F. Jia, S. Kondo, W. Reiter, Y. Jin, Yonghao Long, M. Jiang, Q. Dou, P. A. Heng, I. Twick, K. Kirtac, E. Hosgor, J. L. Bolmgren, M. Stenzel, B. von Siemens, H. G. Kenngott, F. Nickel, M. von Frankenberg, F. Mathis-Ullrich, L. Maier-Hein, S. Speidel, S. Bodenstedt，Medical Image Analysis，2023.05

    

21. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

    C. I. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, T. Xia, F. Jia, Y. Yang, H. Wang, D. Yu, G. Zheng, X. Duan, N. Getty, R. S. Matilla, M. Robu, L. Zhang, H. Chen, J. Wang, L. Wang, B. Zhang, B. Gerats, S. Raviteja, R. Sathish, R. Tao, S. Kondo, W. Pang, H. Ren, J. R. Abbing, M. H. Sarhan, S. Bodenstedt, N. Bhasker, B. Oliveira, H. R. Torres, L. Ling, F. Gaida, T. Czempiel, J. L. Vilaça, P. Morais, J. Fonseca, R. M. Egging, I. N. Wijma, C. Qian, G. Bian, Z. Li, V. Balasubramanian, D. Sheet, I. Luengo, Y. Zhu, S. Ding, J. A. Aschenbrenner, N. E. van der Kar, M. Xu, M. Islam, L. Seenivasan, A. Jenke, D. Stoyanov, D. Mutter, P. Mascagni, B. Seeliger, C. Gonzalez, N. Padoy,，Medical Image Analysis，vol.86，Article Number:102803，2023.05

    

22. Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial Intelligence

    C. Kai, S. Ishizuka, T. Otsuka, M. Nara, S. Kondo, H. Futamura, N. Kodama, S. Kasai，Cancers，vol.15，(10)，Article Number:2794，2023.05

    

23. Mitosis domain generalization in histopathology images - The MIDOG challenge

    M. Aubreville, N. Stathonikos, C. A. Bertram, R. Klopfleisch, N. ter Hoeve, F. Ciompi, F. Wilm, C. Marzahl, T. A. Donovan, A. Maier, J. Breen, N. Ravikumar, Y. Chung, J. Park, R. Nateghi, F. Pourakpour, R. H. J. Fick, S. Ben Hadj, M. Jahanifar, A. Shephard, J. Dexl, T. Wittenberg, S. Kondo, M. W. Lafarge, V. H. Koelzer, J. Liang, Y. Wang, X. Long, J. Liu, S. Razavi, A. Khademi, S. Yang, X. Wang, R. Erber, A. Klang, K. Lipnik, P. Bolfa, M. J. Dark, G. Wasinger, M. Veta, K. Breininger，Medical Image Analysis，vol.84，Article Number:102699，2023.02

    

24. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

    R. Dorent, A. Kujawa, M. Ivory, S. Bakas, N. Rieke, S. Joutard, B. Glocker, J. Cardoso, M. Modat, K. Batmanghelich, A. Belkov, M. B. Calisto, J. W. Choi, B. M. Dawant, H. Dong, S. Escalera, Y. Fan, L. Hansen, M. P. Heinrich, S. Joshi, V. Kashtanova, H. G. Kim, S. Kondo, C. N. Kruse, S. K. Lai-Yuen, H. Li, H. Liu, B. Ly, I. Oguz, H. Shin, B. Shirokikh, Z. Su, G. Wang, J. Wu, Y. Xu, K. Yao, L. Zhang, S. Ourselin, J. Shapey, T. Vercauteren ，Medical Image Analysis，vol.83，Article Number:102628，2023.01

    

25. MIcro-surgical anastomose workflow recognition challenge report

    A. Huaulmé, D. Sarikaya, K. Le Mut, F. Despinoy, Y. Long, Q. Dou, C.-B. Chng, W. Lin, S. Kondo, L. Bravo-Sánchez, P. Arbeláez, W. Reiter, M. Mitsuishi, K. Harada, P. Jannin，Computer Methods and Programs in Biomedicine，vol.212，2021.11

    

26. LapFormer: surgical tool detection in laparoscopic surgical video using transformer architecture

    Satoshi Kondo，Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization，vol.9，(3)，(p.302 ～ 307)，2020.10

    

27. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

    H. A. Hajj, M. Lamard, P. Conze, S. Roychowdhury, X. Hu, G. Maršalkaitė, O. Zisimopoulos, M. A. Dedmari, F. Zhao, J. Prellberg, M. Sahu, A. Galdran, T. Araújo, D. M. Vo, C. Panda, N. Dahiya, S. Kondo, Z. Bian, A. Vahdat, J. Bialopetravičius, E. Flouty, C. Qiu, S. Dill, A. Mukhopadhyay, P. Costa, G. Aresta, S. Ramamurthy, S. Lee, A. Campilho, S. Zachow, S. Xia, S. Conjeti, D. Stoyanov, J. Armaitis, P. Heng, W. G. Macready, B. Cochener, G. Quellec，MEDICAL IMAGE ANALYSIS，vol.52，(p.24 ～ 41)，2019.02

    

28. Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins

    V. de Luca, J. Banerjee, A. Hallack, S. Kondo, M. Makhinya, D. Nouri, L. Royer, A. Cifor, G. Dardenne, O. Goksel, M. Gooding, C. Klink, A. Krupa, A. L. Bras, M. Marchal, A. Moelker, W. J. Niessen, B. Papiez, A. Rothberg, J. A. Schnabel, T. van Walsum, E. Harris, M. L. Bell, C. Tanne，MEDICAL PHYSICS，vol.45，(11)，(p.4986 ～ 5003)，2018.11

    

29. Computer-Aided Diagnosis of Focal Liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles

    Kondo Satoshi, Takagi Kazuya, Nishida Mutsumi, Iwai Takahito, Kudo Yusuke, Ogawa Kouji, Kamiyama Toshiya, Shibuya Hitoshi, Kahata Kaoru, Shimizu Chikara，IEEE TRANSACTIONS ON MEDICAL IMAGING，vol.36，(7)，(p.1427 ～ 1437)，2017.07

    

30. An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

    Wolterink Jelmer M., Leiner Tim, de Vos Bob D., Coatrieux Jean-Louis, Kelm B. Michael, Kondo Satoshi, Salgado Rodrigo A., Shahzad Rahil, Shu Huazhong, Snoeren Miranda, Takx Richard A. P., van Vliet Lucas J., van Walsum Theo, Willems Tineke P., Yang Guanyu, Zheng Yefeng, Viergever Max A., Isgum Ivana，MEDICAL PHYSICS，vol.43，(5)，(p.2361 ～ 2373)，2016.05

    

31. Automatic Detection of the Carotid Artery Location from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features

    Kawai Fumi, Kondo Satoshi, Hayata Keisuke, Ohmiya Jun, Ishikawa Kiyoko, Yamamoto Masahiro，IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS，vol.E98D，(7)，(p.1353 ～ 1364)，2015.07

    

32. The 2014 liver ultrasound tracking benchmark

    V. De Luca, T. Benz, S. Kondo, L. König, D. Lübke, S. Rothlübbers, O. Somphone, S. Allaire, M. A. Lediju Bell, D. Y. Chung, A. Cifor, C. Grozea, M. Günther, J. Jenne, T. Kipshagen, M. Kowarschik, N. Navab, J. Rühaak, J. Schwaab, C. Tanner，Physics in Medicine & Biology，vol.60，(14)，(p.5571 ～ 5599)，2015.07

    

33. Assessment of algorithms for mitosis detection in breast cancer histopathology images

    Veta Mitko, van Diest Paul J., Willems Stefan M., Wang Haibo, Madabhushi Anant, Cruz-Roa Angel, Gonzalez Fabio, Larsen Anders B. L., Vestergaard Jacob S., Dahl Anders B., Ciresan Dan C., Schmidhuber Juergen, Giusti Alessandro, Gambardella Luca M., Tek F. Boray, Walter Thomas, Wang Ching-Wei, Kondo Satoshi, Matuszewski Bogdan J., Precioso Frederic, Snell Violet, Kittler Josef, de Campos Teofilo E., Khan Adnan M., Rajpoot Nasir M., Arkoumani Evdokia, Lacle Miangela M., Viergever Max A., Pluim Josien P. W.，MEDICAL IMAGE ANALYSIS，vol.20，(1)，(p.237 ～ 248)，2015.02

    

34. Lesion Type Classification by Applying Machine Learning Technique to Contrast-Enhanced Ultrasound Images

    K. Takagi, S. Kondo, K. Nakamura, M. Takiguchi，IEICE Trans on Information and Systems，vol.E97-D，(11)，(p.2947 ～ 2954)，2014.11

    

35. Development of Ultrasound Diagnosis System for Carotid Artery Using Probe Pose Estimation and Three-dimensional Structure Reconstruction Techniques

    近藤 敏志, 大宮 淳, 遠間 正真, 松本 悠希, 早田 啓介, 田路 文平，Medical Imaging Technology，vol.32，(4)，(p.282 ～ 301)，2014.09

    

36. Fully Automatic Extraction of Carotid Artery Contours from Ultrasound Images

    Toji Bunpei, Ohmiya Jun, Kondo Satoshi, Ishikawa Kiyoko, Yamamoto Masahiro，IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS，vol.E97D，(9)，(p.2493 ～ 2500)，2014.09

    

37. A correspondence search technique for geometric correction of projected images

    T. Takahashi, T. Aoki, K. Ito, S. Kondo，映像情報メディア学会誌，vol.65，(6)，(p.841 ～ 845)，2011.06

    

38. A Calibration Technique for Multi-Projector Display Based on High-Accuracy Image Correspondence Using SIFT and Phase-Only Correlation

    高橋 徹, 川野 達也, 伊藤 康一, 青木 孝文, 近藤 敏志，The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese edition) A，vol.94，(2)，(p.73 ～ 84)，2011.02

    

39. Improvement of Video Coding Performance Using Adaptive Interpolation Filter Without Filter Selection Information

    近藤 敏志, 松野 孝也, 長谷山 美紀，The Journal of The Institute of Image Information and Television Engineers，vol.63，(11)，(p.1592 ～ 1597)，2009.11

    

40. A Unified Video Processing Technique for Stabilization and Super-Resolution Zooming

    近藤 敏志, 遠間 正真，The Journal of The Institute of Image Information and Television Engineers，vol.63，(11)，(p.1585 ～ 1591)，2009.11

    

41. Super-Resolution De-Interlacing Using Phase-Only Correlation

    沼 徳仁, 伊藤 康一, 青木 孝文, 近藤 敏志，The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese edition) A，vol.92，(8)，(p.529 ～ 539)，2009.08

    

42. Use of Images in Internet Photo Sharing Sites for Example-Based Super-Resolution

    近藤 敏志, タイパルス ハニア, 遠間 正真, 青木 孝文，The Journal of The Institute of Image Information and Television Engineers，vol.62，(11)，(p.1836 ～ 1839)，2008.11

    

43. An Image Completion Algorithm Using Occlusion-Free Images from Internet Photo Sharing Sites

    Amirshahi Hanieh, Kondo Satoshi, Ito Koichi, Aoki Takafumi，IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES，vol.E91A，(10)，(p.2918 ～ 2927)，2008.10

    

44. Still Image Coding Technique Using Internet Photo-Sharing Service

    遠間 正真, 近藤 敏志, アミルシャヒ ハニア, 青木 孝文，The IEICE transactions on information and systems，vol.91，(8)，(p.1959 ～ 1962)，2008.08

    

45. Motion-Compensated Video Coding Using Sliced Blocks

    近藤 敏志, 笹井 寿郎，The IEICE transactions on information and systems，vol.89，(3)，(p.492 ～ 502)，2006.03

    

46. Video Coding with Hybrid Intra Prediction

    近藤 敏志，The IEICE transactions on information and systems Pt. 2，vol.88，(1)，(p.28 ～ 40)，2005.01

    

47. A new method of direct mode motion compensation in multiple picture prediction

    S. Kondo, S. Kadono, ，IEICE Trans. Inf. & Syst.，vol.E87-D，(9)，(p.2212 ～ 2220)，2004.09

    

48. An Algorithm of Deinterlacing Utilizing Motion Vector Information of MPEG-2 Video Bitstream

    近藤 敏志，The Transactions of the Institute of Electronics,Information and Communication Engineers.，vol.87，(2)，(p.619 ～ 628)，2004.02

    

49. A method for removing block effects in MPEG-2 video by applying a block classification technique using stream information

    S. Kondo，IEEE Trans. Consumer Electronics，vol.46，(3)，(p.872 ～ 878)，2000.08

    

50. A real-time variable bit rate MPEG-2 video coding method for digital storage media

    S. Kondo, H. Fukuda，IEEE Trans. Consumer Electronics，vol.43，(3)，(p.573 ～ 544)，1997.08

    

51. An SVQ-HMM training method using simultaneous generative histogram

    Y. Hayashi, S. Kondo, N. Takasu, A. Ogihara, S. Yoneda，IEICE Trans. Fundamentals of Electronics, Communications and Computer Sciences，vol.E75-A，(7)，(p.905 ～ 907)，1992.07

    

52. Recognition of isolated digits using fuzzy matrix quantization

    S. Kondo, A. Ogihara, S. Yoneda,，IEICE Trans. Communications, Electronics, Information & Systems，vol.E74，(10)，(p.3034 ～ 3040)，1991.10

    

53. A Continuous Speech RecognitionModel Utilizing Subject Transition in Sentences

    N. Takasu, A. Ogihara, S. Kondo, S. Yoneda，IEICE Trans. Fundamentals of Electronics, Communications and Computer Sciences，vol.E74-A，(5)，(p.1031 ～ 1033)，1991.05