Hitoshi Iyatomi

116 papers A* 1A 2B 12C 4Misc 2Journal 68Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality. CoRR Takumi Ohashi, Hitoshi Iyatomi
2026	—	`conf`	Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels. EACL (Student Research Workshop) Yuki Kishi, Yuji Arima, Hitoshi Iyatomi
2025	J	`jnl`	A practical framework for unsupervised structure preservation medical image enhancement. Biomed. Signal Process. Control. Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
2025	B	`conf`	Acquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval. SMC Keima Abe, Hayato Muraki, Shuhei Tomoshige, Kenichi Oishi, Hitoshi Iyatomi
2025	J	`jnl`	Acquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval. CoRR Keima Abe, Hayato Muraki, Shuhei Tomoshige, Kenichi Oishi, Hitoshi Iyatomi
2025	B	`conf`	CLIP-Guided Fusion of Image and Leaf Dictionary Features for Plant Disease Classification. SMC Gent Imeraj, Hitoshi Iyatomi
2025	J	`jnl`	DDD: Discriminative Difficulty Distance for plant disease diagnosis. CoRR Yuji Arima, Satoshi Kagiwada, Hitoshi Iyatomi
2025	J	`jnl`	Domain-invariant feature learning in brain MR imaging for content-based image retrieval. CoRR Shuya Tobari, Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi
2025	J	`jnl`	Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. IEEE Access Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi
2025	J	`jnl`	Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training. Artif. Intell. Medicine Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
2025	B	`conf`	RMNA: ROI-Mixup and Neighborhood Alignment for Cross-Domain Plant Disease Classification. SMC Boheng Li, Hitoshi Iyatomi
2025	—	`conf`	ReViSE : Proposal of Framework which Enables Seamless and Flexible Integration of Real and Virtual Objects for Video See-Through MR. SII Koki Suzuki, Eito Yanagisawa, Hitoshi Iyatomi, Sousuke Nakamura
2025	C	`conf`	Robust Plant Disease Diagnosis with Few Target-Domain Samples. VCIP Takafumi Nogami, Satoshi Kagiwada, Hitoshi Iyatomi
2025	J	`jnl`	Robust Plant Disease Diagnosis with Few Target-Domain Samples. CoRR Takafumi Nogami, Satoshi Kagiwada, Hitoshi Iyatomi
2025	J	`jnl`	SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers. CoRR Takuro Kawada, Shunsuke Kitada, Sota Nemoto, Hitoshi Iyatomi
2025	J	`jnl`	TAUE: Training-free Noise Transplant and Cultivation Diffusion Model. CoRR Daichi Nagai, Ryugo Morita, Shunsuke Kitada, Hitoshi Iyatomi
2025	J	`jnl`	Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification. IEEE Access Gent Imeraj, Hitoshi Iyatomi
2025	J	`jnl`	iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings. CoRR Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi
2024	A	`conf`	Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. CIKM Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi
2024	J	`jnl`	Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. CoRR Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi
2024	J	`jnl`	Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis. CoRR Shoma Kudo, Satoshi Kagiwada, Hitoshi Iyatomi
2024	J	`jnl`	Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis. CoRR Kohei Iwano, Shogo Shibuya, Satoshi Kagiwada, Hitoshi Iyatomi
2024	J	`jnl`	Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. Comput. Electron. Agric. Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi
2024	J	`jnl`	Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. CoRR Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi
2024	Misc	`conf`	Isometric Feature Embedding for Content-Based Image Retrieval. CISS Hayato Muraki, Kei Nishimaki, Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi
2024	J	`jnl`	Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. CoRR Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi
2023	J	`jnl`	A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement. CoRR Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
2023	B	`conf`	Acquiring a Low-Dimensional, Environment-Independent Representation of Brain MR Images for Content-Based Image Retrieval. SMC Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi
2023	B	`conf`	How are Negative Articles Consumed? A Quantitative Analysis of User Behavior in a Real News Service. SMC Kazuya Ohata, Hitoshi Iyatomi, Hajime Morita, Kojiro Iizuka
2023	J	`jnl`	Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim
2023	J	`jnl`	Making attention mechanisms more robust and interpretable with virtual adversarial training. Appl. Intell. Shunsuke Kitada, Hitoshi Iyatomi
2023	J	`jnl`	PCSS: Skull Stripping With Posture Correction From 3D Brain MRI for Diverse Imaging Environment. IEEE Access Kei Nishimaki, Kumpei Ikuta, Shingo Fujiyama, Kenichi Oishi, Hitoshi Iyatomi
2023	J	`jnl`	Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy. CoRR Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
2023	J	`jnl`	Towards robust plant disease diagnosis with hard-sample re-mining strategy. Comput. Electron. Agric. Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
2022	J	`jnl`	Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. CoRR Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
2022	J	`jnl`	DM IEEE Access Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi
2022	J	`jnl`	DM CoRR Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi
2022	A	`conf`	Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CIKM Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
2022	J	`jnl`	Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CoRR Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
2022	J	`jnl`	Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. CoRR Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi
2022	J	`jnl`	LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. IEEE Trans Autom. Sci. Eng. Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2022	B	`conf`	Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. SMC Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi
2022	J	`jnl`	Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. CoRR Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi
2021	J	`jnl`	Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. IEEE Access Shunsuke Kitada, Hitoshi Iyatomi
2021	J	`jnl`	Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. CoRR Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
2021	J	`jnl`	Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI. IEEE Access Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
2021	J	`jnl`	Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI. CoRR Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
2021	J	`jnl`	Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training. CoRR Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
2021	J	`jnl`	LASSR: Effective super-resolution method for plant disease diagnosis. Comput. Electron. Agric. Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2021	J	`jnl`	Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. CoRR Shunsuke Kitada, Hitoshi Iyatomi
2020	—	`conf`	AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. ACL (student) Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi
2020	J	`jnl`	AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss. CoRR Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi
2020	J	`jnl`	Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training. CoRR Shunsuke Kitada, Hitoshi Iyatomi
2020	J	`jnl`	LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis. CoRR Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2020	J	`jnl`	LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. CoRR Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2020	—	`conf`	MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. ICPR Workshops (1) Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
2020	J	`jnl`	MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. CoRR Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
2020	—	`conf`	Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. AACL/IJCNLP (Student Research Workshop) Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
2020	J	`jnl`	Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. CoRR Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
2019	—	`conf`	A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. IEEE BigData Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019	J	`jnl`	A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. CoRR Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019	—	`conf`	AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. IEEE BigData Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2019	J	`jnl`	AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. CoRR Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2019	J	`jnl`	Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. CoRR Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
2019	A*	`conf`	Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. KDD Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
2019	—	`conf`	Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. IEEE BigData Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
2019	J	`jnl`	Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. CoRR Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
2019	—	`conf`	Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. IEEE BigData Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto
2019	Misc	`conf`	Super-Resolution for Practical Automated Plant Disease Diagnosis System. CISS Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019	J	`jnl`	Super-Resolution for Practical Automated Plant Disease Diagnosis System. CoRR Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2019	—	`conf`	Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning. IEEE BigData Seiya Murabayashi, Hitoshi Iyatomi
2018	—	`conf`	Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. AIPR Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
2018	—	`conf`	End-to-End Text Classification via Image-based Embedding using Character-level Networks. AIPR Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
2018	J	`jnl`	End-to-End Text Classification via Image-based Embedding using Character-level Networks. CoRR Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
2018	—	`conf`	Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders. EMBC Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
2018	J	`jnl`	Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. CoRR Shunsuke Kitada, Hitoshi Iyatomi
2016	C	`conf`	Basic Investigation on a Robust and Practical Plant Diagnostic System. ICMLA Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2016	—	`conf`	Document classification through image-based character embedding and wildcard training. IEEE BigData Daiki Shimada, Ryunosuke Kotani, Hitoshi Iyatomi
2016	—	`conf`	Simple and effective pre-processing for automated melanoma discrimination based on cytological findings. IEEE BigData Takuya Yoshida, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi
2015	—	`conf`	Automated Habit Detection System: A Feasibility Study. ISVC (2) Hiroki Misawa, Takashi Obara, Hitoshi Iyatomi
2015	—	`conf`	Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. ISVC (2) Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
2015	—	`conf`	Building of Readable Decision Trees for Automated Melanoma Discrimination. ISVC (2) Keiichi Ohki, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi
2015	J	`jnl`	Four-Class Classification of Skin Lesions With Task Decomposition Strategy. IEEE Trans. Biomed. Eng. Kouhei Shimizu, Hitoshi Iyatomi, M. Emre Celebi, Kerri-Ann Norton, Masaru Tanaka
2015	—	`conf`	Prototype of Super-Resolution Camera Array System. ISVC (1) Daiki Hirao, Hitoshi Iyatomi
2014	—	`conf`	A preliminary study for fully automated quantification of psoriasis severity using image mapping. Computer-Aided Diagnosis Kazuhiro Mukai, Hitoshi Iyatomi
2014	—	`conf`	Accurate discrimination of Alzheimer's disease from other dementia and/or normal subjects using SPECT specific volume analysis. Computer-Aided Diagnosis Hitoshi Iyatomi, Jun Hashimoto, Fumuhito Yoshii, Toshiki Kazama, Shuichi Kawada, Yutaka Imai
2014	J	`jnl`	An ensemble classification approach for melanoma diagnosis. Memetic Comput. Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
2014	J	`jnl`	Extension of automated melanoma screening for non-melanocytic skin lesions. Int. J. Comput. Appl. Technol. Kouhei Shimizu, Hitoshi Iyatomi, Kerri-Ann Norton, M. Emre Celebi
2014	—	`conf`	Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features. AMLTA Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi, Aboul Ella Hassanien
2014	—	`conf`	Registration and color calibration for dermoscopy images in time-course analysis. Computer-Aided Diagnosis Daiji Furusho, Hitoshi Iyatomi
2013	J	`jnl`	Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods. CoRR M. Emre Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer
2013	—	`conf`	Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning. ACPR Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
2011	J	`jnl`	Automated color calibration method for dermoscopy images. Comput. Medical Imaging Graph. Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka
2011	J	`jnl`	Colour and contrast enhancement for improved skin lesion segmentation. Comput. Medical Imaging Graph. Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi
2011	—	`conf`	Feasibility evaluation of a motion detection system with face images for stereotactic radiosurgery. EMBC Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda
2011	—	`conf`	Robust video-oculography for non-invasive autonomic nerve quantification. EMBC Masaru Kiyama, Hitoshi Iyatomi, Koichi Ogawa
2010	J	`jnl`	An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images CoRR M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi, William V. Stoecker, Joseph M. Malters, James M. Grichnik
2010	J	`jnl`	Approximate Lesion Localization in Dermoscopy Images CoRR M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
2010	B	`conf`	Automated color normalization for dermoscopy images. ICIP Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka
2010	J	`jnl`	Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images CoRR M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
2010	J	`jnl`	Lesion Border Detection in Dermoscopy Images CoRR M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
2010	B	`conf`	Robust border detection in dermoscopy images using threshold fusion. ICIP M. Emre Celebi, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer
2009	B	`conf`	Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. ICIP M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer
2009	J	`jnl`	Lesion border detection in dermoscopy images. Comput. Medical Imaging Graph. M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
2009	C	`conf`	Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods. PSIVT M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
2009	B	`conf`	Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation. ICIP Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi
2008	J	`jnl`	An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput. Medical Imaging Graph. Hitoshi Iyatomi, Hiroshi Oka, M. Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa
2008	J	`jnl`	Automatic detection of blue-white veil and related structures in dermoscopy images. Comput. Medical Imaging Graph. M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
2007	J	`jnl`	A methodological approach to the classification of dermoscopy images. Comput. Medical Imaging Graph. M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker, Randy H. Moss
2007	B	`conf`	Fast and accurate border detection in dermoscopy images using statistical region merging. Image Processing M. Emre Celebi, Hassan A. Kingravi, Hitoshi Iyatomi, Jeongkyu Lee, Y. Alp Aslandogan, William Van Stoecker, Randy H. Moss, Joseph M. Malters, Ashfaq A. Marghoob
2006	—	`conf`	Automatic Identification of Shot Body Region from Clinical Photographies. AIPR Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka, Koichi Ogawa
2006	J	`jnl`	Multipurpose image recognition based on active search and adaptive fuzzy inference neural network. Syst. Comput. Jpn. Hitoshi Iyatomi, Masafumi Hagiwara
2005	C	`conf`	An Internet-based Melanoma Diagnostic System - Toward the Practical Application. CIBCB Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa
2004	J	`jnl`	Adaptive fuzzy inference neural network. Pattern Recognit. Hitoshi Iyatomi, Masafumi Hagiwara
2002	J	`jnl`	Scenery image recognition and interpretation using fuzzy inference neural networks. Pattern Recognit. Hitoshi Iyatomi, Masafumi Hagiwara
1998	B	`conf`	Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks. SMC Hitoshi Iyatomi, Masafumi Hagiwara