Research / Publications

Publications:

Journal Papers

[43] Four-class classification of skin lesions with task decomposition strategy,"  Kouhei Shimizu, Hitoshi Iyatomi, M. Emre Celebi, Kerri-Ann Norton, and Masaru Tanaka,  IEEE Trans. on Biomedical Engineering, Vol.62, No.1, pp.274-283, 2015.PDF(767KBytes)

[42] An ensemble classification approach for melanoma diagnosis,"  Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi and Hitoshi Iyatomi, Memetic computing journalMemetic computing journal, Vol.6, pp.233-240, 2014. PDF(667KBytes)

[41] "Melanoma Classification based on Ensemble Classification of Dermoscopy Image Features,"  Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi and Hitoshi Iyatomi and Aboul Ella Hassanien, Advanded Machine Learning and Applications Communications, Vol.488, pp.291-298, 2014.

[40] Age-related prevalence of dermatoscopic patterns of acral melanocytic nevi, Reiko Suzaki, Sumiko Ishizaki, Hitoshi Iyatomi and Masaru Tanaka, Dermatology Practical & Conceptual, Vol.4, No.1, pp.53-57, 2014. PDF(1.7MBytes)

[39] "Extension of automated melanoma screening for non-melanocytic skin lesions," Kohei Shimizu, Hitoshi Iyatomi, M.Emre Celebi and Kerri-Ann Norton, International Journal of Intelligent Systems Technologies and Applications, Vol.50, No.1-2, pp.122-130,2014.

[38] Lesion border detection in dermoscopy images using ensembles of thresholding methods," M.Emre.Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi and Gerald Schaefer, Skin Research and Technology, Vol.19, No.1, pp.252-258, 2013. PDF(2.2MBytes)

[37] Motion detection system accelerated by GPU for stereotactic radiosurgery,"Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda, Keisuke Usui, Naoyuki Shigematsu, Medical Imaging Technology, Vol.30, No.5, pp.268-278, 2012.

[36] Digital video-oculography robust over several obstacles for non-invasive autonomic nerve quantification. Masaru Kiyama, Hitoshi Iyatomi and Koichi Ogawa, IEICE Trans D-I, Vol.86, No.4, pp.867-875, 2013. (In Japanese)

[35] Lesion border detection in dermoscopy images using ensembles of thresholding methods. M.Emre.Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi and Gerald Schaefer, Skin Research and Technology, Vol.19, No.1, pp.252-258, 2013.

[34] An Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma in Situ. Kerri-Ann Norton, Sameera Namazi, Nicola Barnard, Mariko Fujibayashi, Gyan Bhanot, Shridar Ganesan, Hitoshi Iyatomi, Koichi Ogawa, and Troy Shinbrot,  PLoS ONE, Vol.7, No.9, e44011, Sep. 2012.PDF(756KBytes)

[33] Three-phase general border detection method for dermoscopy images using non-uniform illumination correction.  Kerri-Ann Norton, Hitoshi Iyatomi, M. Emre Celebi, Mizuki Sawada, Sumiko Ishizaki, Reiko Suzaki, Ken Kobayashi, Masaru Tanaka and Koichi Ogawa, Skin Research and Technology, Vol.18, No.3, pp.290-300,  2012. PDF(390KBytes)

[32] Correlation between severity of presure ulcer and prognosis of the patient, and correlation between laboratory data and the outcome of pressure ulcer: statistical analysis of 1,134 cases. Junko Ishizaki, Hitoshi Iyatomi, Chizuko Machiya, and Masaru Tanaka, Journal of Tokyo Women's Medical University, Vol.81, No.2, pp.96-101, 2011. (In Japanese)

[31] Automated color calibration method for dermoscopy images, Hitoshi Iyatomi, M.Emre Celebi, Gerald Schaefer, Masaru Tanaka, Computerized Medical Imaging and Graphics, Vol.35, No.2, pp.89-98, 2011. PDF(1.6MBytes)

[30] Colour and contrast enhancement for improved skin lesion segmentation, Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi, Computerized Medical Imaging and Graphics, Vol35, No.2, pp.99-104, 2011.

[29] Computerized quantification of psoriasis lesions with color calibration: Preliminary results. Hitoshi Iyatomi, Hiroshi Oka, Masafumi Hagiwara, Ayako Miyake, Masayuki Kimoto, Koichi Ogawa and Masaru Tanaka, Clinical and Experimental Dermatology, Vol.34, No.7, pp.830-833, 2009. PDF(258KB)

[28] Accurate rotation of binary images.  Hitoshi Iyatomi and Koichi Ogawa, IEICE Trans. D-II, Vol.92, No.9, pp.1682-1685, 2009. (In Japanese)

[27] An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images. M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi, William V. Stoecker, Joseph M. Malters, and James M. Grichnik, Skin Research and Technology, Vol. 15, No.4, pp.444-450, 2009.

[26] Approximate Lesion Localization in Dermoscopy Images. M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, and William V. Stoecker, Skin Research and Technology, Vol. 15, No.3, pp.314-322, 2009.

[25] ダーモスコピーによる自動診断法, 田中勝、彌冨 仁,
MB Derma, Vol.149, pp.76-82, 2009.

[24] Lesion Border Detection in Dermoscopy Images. M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, and William V. Stoecker, Computerized Medical Imaging and Graphics, Vol.33, No.2, pp.148-153, 2009.

[23] Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images. M. Emre Celebi, Hitoshi Iyatomi, William V Stoecker, Randy H Moss, Harold S Rabinovitz, Giuseppe Argenziano, Peter Soyer, Computerized Medical Imaging and Graphics, Vol.32, No.8, pp.670-677, 2008 Online abstract available (link to Pubmed.)

[22] Application of Support Vector Machine Classifiers to Preoperative Risk Stratification with Myocardial Perfusion Scintigraphy.Tomotaka Kasamatsu, Jun Hashimoto, Hitoshi Iyatomi,Tadaki Nakahara, Jingming Bai, Naoto Kitamura, Koichi Ogawa, Atsushi Kubo Circulation Journal, Vol.72, No.11, pp.1829-1835, 2008. On line abstract available (link to Pubmed.)

[21] Reply to "Digital dermoscopy analysis and internet-based program for discrimination of pigmented skin lesion dermoscopic images".
M.Kimoto, M.Sakamoto, H.Iyatomi and M.Tanaka., Dermatology, Vol.217, No.4, pp.359, 2008. On line version available (link to Karger.com)

[20] An Improved Internet-based Melanoma Screening System with Dermatologist-like Tumor Area Extraction Algorithm. Hitoshi Iyatomi, Hiroshi Oka, M.Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa Computerized Medical Imaging and Graphics, Vol.32, No.7, pp.566-579, 2008.  PDF (1084KBytes)

[19] Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin.  Hitoshi Iyatomi, Hiroshi Oka, M Emre Celebi, Koichi Ogawa, Giuseppe Argenziano, H Peter Soyer, Hiroshi Koga, Toshiaki Saida, Kuniaki Ohara, and Masaru Tanaka, Journal of Investigative Dermatology, Vol.128, pp.2049-2054, 2008. PDF (130KBytes)

[18] Peripoerative cardiac risk prediction in non cardiac surgery - Investigation for efficiency of nuclear scanning.  Hitoshi Iyatomi, Bai Jinming, Tomotaka Kasamatsu, Jun Hashimoto, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.20, No.1, pp.100-107, 2008.

[17] Three dimensional melanin distribution of acral melanocytic nevi is refrected in dermoscopy features: Analysis of parallel pattern. M.Kimoto, M.Sakamoto, H.Iyatomi and M.Tanaka. Dermatology, Vol.216, pp.205-212, 2008. Online abstract Available (link to Pubmed.)

[16] Border Detection in Dermoscopy Images Using Statistical Region Merging. M. Emre Celebi, Hassan A. Kingravi,Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker, Randy H.Moss et al, Skin Research and Technology, Vol.14, Issue 3, pp.347-353, 2008.

 [15] A methodological approach to the classification of dermoscopy images. M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker and Randy H.Moss, Computerized Medical Imaging & Graphics, Vol.31, No.6, pp.362-373, 2007.

[14] Unsupervised Border Detection in Dermoscopy Images.
M. Emre Celebi, Y. Alp Aslandogan, William V. Stoecker, Hitoshi Iyatomi, Hiroshi Oka, and Xiaohe Chen, 
Skin Research and Technology, Vol.13, No.4, pp.454-462, 2007.
 
[13] Identification of blue nevus in Internet-based melanoma diagnostic system.
Hitoshi Iyatomi, Yuki Tanahashi, Hiroshi Oka, Masayuki Kimoto, Ayako Miyake, Masaru Tanaka and Koichi Ogawa,
Medical Imaging Technology,Vol.24, No.5, pp.401-407, 2006. (In Japanese)
 

[12] Quantitative assessment of tumor extraction from dermoscopy images and evaluation of computer-based extraction methods for automatic melanoma diagnostic system. Hitoshi Iyatomi, Hiroshi Oka, Masataka Saito, Ayako Miyake, Masayuki Kimoto, Jun Yamagami, Seiichiro Kobayashi, Akiko Tanikawa, Masarumi Hagiwara, Giuseppe Argenziano, H.Peter Soyer and Masaru Tanaka. Melanoma Research, Vol.16, No.2, pp.183-190, 2006. PDF (259KBytes)

[11] Reply to "Digital dermoscopy analysis and internet-based program for discrimination of pigmented skin lesion dermoscopic images. Oka H, Iyatomi H, Hashimoto M and Tanaka M, British Journal of Dermatology, Vol.154, No.3, pp.570-571, 2006 Online abstract Available (link to Pubmed.)

[10] Automatic detetion and analysis of fots from dermoscopy images of melanoma and Clark nevus, Sumi Yoshino, Hiroshi Oka, Masaru Tanaka, Hitoshi Iyatomi, Masahiro Hashimoto and Hisao Motoyama, Skin cancer, Vol.20, No.2, pp.183-189, 2005. (In Japanese)

[9] Automatic detection of specific colors from melanomas and Clark nevi on dermoscopy images. Hisao Motoyama, Hiroshi Oka, Masaru Tanaka, Hitoshi Iyatomi, Masahiro Hashimoto and Sumi Yoshino, Skin cancer, Vol.20, No.2, pp.190-196, 2005. (In Japanese)

[8] Automatic discrimination of melanoma and Clak nevus including acral lesions usina a neuraln network on the server,  Masahiro Hashimoto, Hiroshi Oka, Masaru Tanaka, Hitoshi Iyatomi, Hisao Motoyama and Sumi Yoshino, Skin cancer, Vol.20, No.2, pp.197-202, 2005. (In Japanese)

[7] "追加学習可能なファジィ推論ニューラルネットワークの提案と画像認識への応用",
居谷 道明、彌富 仁、萩原将文,
日本知能情報ファジィ学会論文誌 Vol.17, No.1, pp.60-67, 2005.

[6] "Adaptive Fuzzy Inference Neural Network," Hitoshi Iyatomi and Masafumi Hagiwara, Pattern Recognition, Vol 37, issue 10, pp.2049-2057, 2004. PDF (166KBytes)

[5] "悪性黒色腫自動診断システムのためのダーモスコピー像からの腫瘍領域抽出法", 彌富 仁、岡 博史、橋本 正弘、田中 勝、萩原 将文、尾川 浩一, Medical Imaging Technology, Vol.22, No.4, pp.197-200, 2004. PDF (406KB)

[4] "Internet-based program for automatic discrimination of dermoscopic images between melanomas and Clark nevi," Oka H, Hashimoto M, Iyatomi H, Argenziano G, Soyer HP and Tanaka M, British Journal of Dermatology No.150, issue 5, p.1041, 2004. abstract (link to PubMed)

[3] "適応ファジィニューラルネットワークとアクティブ探索法を用いた画像認識", 彌富 仁、萩原将文 電子情報通信学会論文誌 D-II,Vol.J87-D2, No.4, pp.958-966, 2004. PDF (742KBytes)

[2] "Scenery Image Recognition and Interpretation using Fuzzy Inference Neural Networks," Hitoshi Iyatomi and Masafumi Hagiwara, Pattern Recognition Vol.35, issue 8, pp.1793-1806, 2002. PDF (522KBytes)

[1] "ファジィ推論ニューラルネットワークを用いた風景画像からの知識抽出と認識", 彌富 仁、萩原将文 電子情報通信学会論文誌 D-II Vol.J82-D-II No.4 pp.685-693, 1999. PDF (In Japanese: 269KB)

 

Conference proceedings

[63] Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, and Kenichi Oishi, Proc IEEE Biomedical Engineering (IEEE EMBC 2018), Jul.2018. (accepted)

[62] One-dimensional Convolutional Neural Network for Android Malware Detection, Chihiro Hasegawa and Hitoshi Iyatomi, Proc. IEEE Signal Processing and its Applications (IEEE CSPA 2018), pp.101-104, Mar. 2018.

[61] Web Application Firewall using Character-level Convolutional Neural Network, Michiaki Ito and Hitoshi Iyatomi, Proc. IEEE Signal Processing and its Applications (IEEE CSPA 2018), pp.105-108, Mar. 2018.  Best Paper Award

[60] A Deep Learning Approach for on-site Plant Leaf Detection, Quan Huu Cap, Erika Fujita, Satoshi Kagiwada, Hiroyuki Uga, and Hitoshi Iyatomi, Proc. IEEE Signal Processing and its Applications (IEEE CSPA 2018), pp.120-123, Mar. 2018.

[59] Basic Investigation on a Robust and Practical Plant Diagnostic System, Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada and Hitoshi Iyatomi, Proc. IEEE Machine Learning and its Applications (IEEE ICMLA 2016), pp.989-992, Dec. 2016. PDF(196KB)

[58] Document Classification through Image-Based Character Embedding and Wildcard Training, Daiki Shimada, Ryunosuke Kotani and Hitoshi Iyatomi,  Proc. IEEE Big Data 2016 ( Big Data and Natural Processing Workshop (BigNLP 2016), pp.3922-3927, Dec. 2016. PDF(600KB)

[57] Simple and Effective Pre-processing for Automated Melanoma Discrimination based on cytological findings, Takuya Yoshiad, M.Emre Celebi, Gerald Scahefer and Hitoshi Iyatomi, Proc. IEEE Big Data 2016 (3rd Big Data Analytic Technology for Bioinformatics and Health Informatics (KDDBHI), pp.3439-3442, Dec. 2016. PDF(255KB)

[56] A protptype of super-resolution camera-array system, Daiki Hirao and Hitoshi Iyatomi,  Lectures Notes in Computer Science, Vol. 9474, Vol. 1, pp.911-920, Dec. 2015. (International Symposium on Visual Computing 2015 (ISVC2015)), Dec. 2015. PDF(382KB)

[55] Automated habit detection system: A feasibility study, Hiroki Misawa, Takashi Obara and Hitoshi Iyatomi,  Lectures Notes in Computer Science, Vol. 9475, Vol. 2, pp.16-23, Dec. 2015. (International Symposium on Visual Computing 2015 (ISVC2015)), Dec. 2015. PDF(734KB)

[54] Building of the readable decision trees for automated melanoma discrimination, Keiichi Ohki, M.Emre Celebi, Gerald Schaefer and Hitoshi Iyatomi,  Lectures Notes in Computer Science, Vol. 9475, Vol. 2, pp.712-721, Dec. 2015. (International Symposium on Visual Computing 2015 (ISVC2015)), Dec 2015. PDF(898KB)

[53] Basic Study of Automated Diagnosis for Viral Plant Diseases with Convolutional Neural Networks, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, and Hitoshi Iyatomi, Lectures Notes in Computer Science, Vol. 9475, Vol. 2, pp.638-645, Dec. 2015. (International Symposium on Visual Computing 2015 (ISVC2015)), Dec. 2015. PDF(913KB)

[52]  Automated image registration and color calibration of dermoscopy images during the clinical follow-up, Hitoshi Iyatomi, Daiji Furusho, Itaru Dekio and Masaru Tanaka, Proc. 4th World Congress of Dermoscopy and Skin Imaging, Apr. 2015.

[51]  Dermoscopic follow-up of 16 cases of regressing Spitz nevi, Itaru Dekio, Hitoshi Iyatomi, Mizuki Sawada, Sumiko Ishizaki and Masaru Tanaka, Proc. 4th World Congress of Dermoscopy and Skin Imaging, Apr. 2015.

[50]  Feasibility study on evaluation of audience’s concentration in the classroom with deep convolutional neural networks, Ryosuke Yoshihashi, Daiki Shimada, Hitoshi Iyatomi, Proc. IEEE Teaching, Assessment and Learning for Engineering (IEEE TALE 2014), Dec. 2014. PDF(461KB)

[49]  Accurate discrimination of Alzheimer's disease from other dementia and/or normal sujects using SPECT specific volume analysis, Hitoshi Iyatomi, Jun Hashimoto, Fumihito Yoshii, Toshiki  Kazama, Shuichi Kawada and Yutaka Imai, Proc. SPIE Medical Imaging Conference 2014, Vol.9035, doi:10.1117/12.2044011, Feb. 2014. PDF(107KB)

[48] A preliminary study for fully automated quantification of paoriasis severity using image mapping,   Kazuhiro Mukai and Hitoshi Iyatomi, Proc. SPIE Medical Imaging Conference 2014, Vol.9035, doi: 10.1117/12.2043446, Feb. 2014. PDF(418KB)

[47] Preliminary experiments on quantification of skin condition, Kenzo Kitajima and Hitoshi Iyatomi, Proc. SPIE Medical Imaging Conference 2014, Vol.9037, doi: 10.1117/12.2044018, Feb. 2014. PDF(271KB)

[46] Registration and color calibration for dermoscopy images in time-course analysis, Daiji Furusho and Hitoshi Iyatomi, Proc. SPIE Medical Imaging Conference 2014, Vol.9035, doi: 10.1117/12.2044019, Feb. 2014. PDF(441KB)

[45] Melanoma classification using dermoscopy imaging and ensemble learning, Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi and Hitoshi Iyatomi, Proc. 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), pp.386-390, Nov. 2013.

[44] Production of the grounds for melanoma classification using adaptive fuzzy inference neural network, Yuji Ikuma and Hitoshi Iyatomi, Proc IEEE System, Man and Cybernetics (SMC2013), pp.2570-2575, Oct. 2013. PDF(1.0MB)

[43] 3D Architecture of Ductal Carcinoma in Situ From Image Reconstructions, Kerri-Ann Norton, Sameera Namazi, Nicola Barnard, Mariko Fujibayashi, Gyan Bhanot, Shridar Ganesan, Hitoshi Iyatomi, Koichi Ogawa, and Troy Shinbrot, Proc. IEEE EMBS Conference on Biomedical Engineering (IECBES 2012), pp.631-635, Dec.2012.

[42] Development of Robust Video-oculography System for Non-invasive Autonomic Nerve Quantification Masaru Kiyama, Hitoshi Iyatomi and Koichi Ogawa, Proc. IEEE EMBS Conference on Biomedical Engineering (IECBES 2012), pp.853-856, Dec.2012.

[41] Extension of automated melanoma screening for non-melanocytic skin lesions Kohei Shimizu, M.Emre Celebi, Kerri-Ann Norton and Hitoshi Iyatomi, Proc. 19th International Conference on Mechatronics and Machine Vision in Practice (M2VIP12), pp.16-19, Nov. 2012.

[40] Robust Video-oculography for Non-invasive Autonomic Nerve Quantification Masaru Kiyama, Hitoshi Iyatomi, Koichi Ogawa Proc. IEEE International Conference of the Engineering in Medicine and Bilology Society (EMBS 2011), pp.494-497, 2011.

[39] Feasibility Evaluation of a Motion Detection System with Face Images for Stereotactic Radiosurgery Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda Proc. IEEE International Conference of the Engineering in Medicine and Bilology Society (EMBS 2011), pp.425-428, 2011.

[38] Automated color normalization for dermoscopy Images Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka Proc. IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, pp.4357-4360, Sep. 2010.

[37] Robust border detection in dermosciopy images using threshold fusion, M. Emre Celebi, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer Proc. IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, pp.2541-2544, Sep. 2010.

[36] Quantitative and objective area extraction of tinea unguium Yasuki HATA, Hitoshi IYATOMI, Sumiko ISHIZAKI, Mizuki SAWADA, Ken KOBAYASHI, Masahiko OZEKI and Masaru TANAKA,  Journal of Investigative Dermatology, Vol.S140, p.59, Sep. 2010.

[35] Image analysis for senile lentigo and evaluation of therapeutic effects by hydroquinone Mizuki SAWADA, Hitoshi IYATOMI, Yoshifumi MAUMI, Ken KOBAYASHI, Reiko SUZAKI, Sumiko ISHIZAKI, Masaru TANAKA Journal of Investigative Dermatology, Vol.S140, p.60, Sep. 2010.

[34] Skin lesion segmentation using an improved snake model, Huiyu Zhou, Gerald Schaefer, M. Emre Celebi, Hitoshi Iyatomi, Tangwei Liu, Faquan Lin Proc. IEEE International Conference of the Engineering in Medicine and Bilology Society (EMBS 2010), Buenos Aires, Argentina, pp.1974-1977, Aug, 2010.

[33] Classification of melanocytic skin lesions from non-melanocytic lesions, Hitoshi Iyatomi, Kerri-Ann Norton, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka, and Koichi Ogawa Proc. IEEE International Conference of the Engineering in Medicine and Bilology Society (EMBS 2010), Buenos Aires, Argentina, pp.5407-5410, Aug, 2010.

[32] Detection Method for Melanocytic and Non-Melanocytic Dermoscopy Images, Kerri-Ann Norton, Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka, and Koichi Ogawa Proc. IEEE International Conference of the Engineering in Medicine and Bilology Society (EMBS 2010), Buenos Aires, Argentina, pp.5403-5406, Aug, 2010.

[31] Perioperative risk prediction Hitoshi Iyatomi, Tomotaka Kasamatsu, Jun Hashimoto, M.Emre Celebi, Gerald Schaefer and Koichi Ogawa Proc. IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2009), Larnaca, Cyprus, pp.1-4, Nov. 2009.

[30] Skin lesion segmentation using cooperative neural network edge detection and colour normalisation, Gerald Schaefer, Maher Rajab, M. Emre Celebi and Hitoshi Iyatomi Proc. IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2009), Larnaca, Cyprus, pp.1-4, Nov. 2009.

[29] Skin Lesion Extraction in Dermoscopic Images Based on Colour Enhancement and Iterative Segmentation Gerald Schaefer, M. Rajab, M.Emre Celebi, and Hitoshi Iyatomi Proc. IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt, pp.3361-3364, Nov. 2009.

[28] Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer Proc. IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt, pp.2601-2604, Nov. 2009.

[27]Motion detection system with three USB cameras and an active search algorithm for stereotactic radiosurgery Go Mamiya, Etsuo Kunieda, Yohei Oku, Hitoshi Iyatomi, Koichi Ogawa Proc.11th World Congress on Medical Physics and Biomedical Engineering, Germany, pp.37-40, Sep.2009.

[26] Localization of lesions in dermoscopy images using ensembles of thresholding methods. M.E.Celebi, Hitoshi Iyatomi, Gerald Scheafer, William V.Stoecker, Lectures Note in Computer Science, Vol.5414, pp.1094-1103,  Jan.2009.

[25] An analysis of 575 cases of pressure ulcer in a university hospital: correlation between the prognosis of the patients and the severity of their pressure ulcer Sumiko Ishizaki, Hitoshi Iyatomi, Chizuko Machiya, Masaru Tanaka Proceedings of 10th China-Japan joint meeting of Dermatology, Oct.2008.

[24] Development of contactless motion tracking system for stereotactic radiosurgery Go Mamiya, Hitoshi Iyatomi, Koichi Ogawa Proc. 5th Korea-Japan joint meeting on medical physics, Cheju, Korea, SS1-R1-6, Sep.2008.

[23] An Internet-based Melanoma Screening System - Supported Acral Volar Lesions Hitoshi Iyatomi, M.Emre Celebi, Hiroshi Oka, Masaru Tanaka Proc. IEEE EMBC 2008, Vancouver, Canada, pp.5156-5159, Aug.2008.PDF (242KB)

[22] Objective Evaluation of Methods for Border Detection in Dermoscopy Images M.Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi Proc. IEEE EMBC 2008, Vancouver, Canada, pp.3056-3059, Aug.2008. PDF (224KB) [

21] Identification of shot-body-regions from clinical photograph using support vector machine classifiers Hitoshi Iyatomi and Koichi Ogawa Proc. 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007 Workshop), Brisbane, Australia, Oct.2007.

[20] Parametric Analysis of Acral Lesions on Dermoscopy Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa Proc. of IEEE CME 2007, Beijin, China, pp.337-340, May.2007. PDF (185KB)

[19] Parameterization of Dermoscopic Findings for the Internet-based Melanoma Diagnostic System Hitoshi Iyatomi, Hiroshi Oka, M.Emre Celebi, Masaru Tanaka and Koichi Ogawa Proc.IEEE CIISP 2007, pp.183-193, Honolulu, Apr.2007.

[18] Fast and Accurate Border Detection in Dermoscopy Images Using Statistical Region Merging M. Emre Celebi, Hassan A. Kingravi, Hitoshi Iyatomi, JeongKyu Lee et al. Proc. SPIE Medical Imaging 2007 Conference, Feb.2007.

[17] Classification of Asian-specific acral lesions for internet-based melanoma diagnostic system Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa Proc. Asian Medical Imaging Forum 2007, MI2006-183, pp.95-98, Cheju, Jan. 2007.

[16] Automatic Identification of Shot Body Region from Clinical Photographies Hitoshi Iyatomi, Masahiro Hashimoto, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa Proc. IEEE 35th International Workshop on AIPR 2006, Washington DC, Oct. 2006.

[15] Classification of blue nevus from other lesions for Internet-based melanoma diagnostic system Hitoshi Iyatomi, Yuki Tanahashi, Hiroshi Oka, Masaru Tanaka and Koichi Ogawa Proc. 7th International Symposium on Advanced Intelligent Systems, Tokyo, pp.1995-2000, 2006.

[14] Portable VOG, a new device for on site nystagmus recording N.Ide, E.Sugiura, K.Miyajima, Y.Arai, H.Iyatomi and M.Yamamoto. 24th Barany Society Meeting, Uppsala, Sweden, Jun. 2006

[13] Current state of the Internet-based melanoma screening system Hitoshi Iyatomi, Hiroshi Oka, Masafumi Hagiwara, Masahiro Hashimoto,Koichi Ogawa, Masaru Tanaka First Congress of the International Dermoscopy Society, Naples, p.271, Apr.2006

[12]  Hemifacial trial of vitamin C sonophoresis in melasma. Junko Kawashima, Shin-ichi Takahashi, Atsuko Katoh, Masaru Tanaka, Hitoshi Iyatomi, Hiroyuki Takano, Yasuhiro Sato. First Congress of the International Dermoscopy Society, Naples, Apr.27-29, 2006

[11]  An Practical Internet-based Melanoma Diagnostic System Hitoshi Iyatomi, Hiroshi Oka, Ayako Miyake, Masayuki Kimoto Masaru Tanaka and Koichi Ogawa Proc. IEEE Symposium on CIBCB, pp.443-446, San Diego USA, Nov.2005. PDF (267KB)

[10] Preliminary study for quantification of psooriasis with color calibration Hitoshi Iyatomi, Hiroshi Oka, Ayako Miyake, Masayuki Kimoto Masaru Tanaka and Koichi Ogawa Proc. 4th Japan-Korea Joint Meeting on Medical Physics and the 5th Asia-Oceania Congress of Medical Physics, Kyoto, Japan, Sep.2005.

[9] Development of contactless motion tracking method for stereotactic radiosurgery Yuta Hojo, Hitoshi Iyatomi and Koichi Ogawa Proc. 4th Japan-Korea Joint Meeting on Medical Physics and the 5th Asia-Oceania Congress of Medical Physics, Kyoto, Japan, Sep.2005.

[8] Practical web-based screening system for early stage of malignant melanoma Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka, Masafumi Hagiwara and Koichi Ogawa Proc. 3rd International Conference on Information (INFO2004), Tokyo, Japan, pp.628-631,Nov.2004

[7] Automatic tumor area extraction from dermoscopy image H.Iyatomi, H.Oka, M.Hashimoto, A.Tanikawa, M.Hagiwara and M.Tanaka Journal of European Academy of Dermatology and Venereology, Florence Italy, p.271, Oct.2004

[6] Development of diagnostic system for early stage of malignant melanoma Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka and Masafumi Hagiwara Proc.5th International Symposium on Advanced Intelligent Systems, Yokohama, Japan, p.69, WE-4, Sep.2004.

[5] Additional Learning Machine Framework for Multipurpose Image Recognition Michiaki Itani, Hitoshi Iyatomi and Masafumi Hagiwara Proc.4th International Symposium on Advanced Intelligent Systems, Jeju Island, Korea, pp.480-pp.483, Sep.2003.

[4] Digital analysis of dermoscopy with multivariate stepwise discriminant analysis between early Melanoma and Nevi Oka H, Tanaka M, Kobayashi S, Iyatomi H, Hagiwara M, Argenziano G, Soyer H.P. and Nishikawa T. European congress of the EADV, Barcelona, Spain, Oct.2003.

[3] Classification of Reed/Spitz Nevi and Melanomas using digital image processing with linear discriminant analysis Kobayashi S, Tanaka M, Oka H, Iyatomi H, Hagiwara M, Argenziano G, Soyer H.P and Nishikawa T. European congress of the EADV, Barcelona, Spain, Oct.2003.

[2] Adaptive Fuzzy Inference Neural Network Hitoshi Iyatomi and Masafumi Hagiwara Proc. 10th International Conference on Human Computer Interaction 2003, Crete, Greece, Vol.2, pp.400-404.

[1] Knowledge Extraction from Scereny Images and the Recognition using Fuzzy Inference Neural Networks. Hitoshi Iyatomi and Masafumi Hagiwara IEEE International Conference on System Man and Cybernetics, San Diego, USA, pp.4486-4491, Oct.1998. PDF (480KBytes)