Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks. - Hitoshi Iyatomi; Masafumi Hagiwara (SMC, 1998)

Scenery image recognition and interpretation using fuzzy inference neural networks. - Hitoshi Iyatomi; Masafumi Hagiwara (Pattern Recognit., 2002)

Adaptive fuzzy inference neural network. - Hitoshi Iyatomi; Masafumi Hagiwara (Pattern Recognit., 2004)

An Internet-based Melanoma Diagnostic System - Toward the Practical Application. - Hitoshi Iyatomi; Hiroshi Oka; Masahiro Hashimoto; Masaru Tanaka; Koichi Ogawa (CIBCB, 2005)

Automatic Identification of Shot Body Region from Clinical Photographies. - Hitoshi Iyatomi; Hiroshi Oka; Masaru Tanaka; Koichi Ogawa (AIPR, 2006)

Multipurpose image recognition based on active search and adaptive fuzzy inference neural network. - Hitoshi Iyatomi; Masafumi Hagiwara (Syst. Comput. Jpn., 2006)

Fast and accurate border detection in dermoscopy images using statistical region merging. - M. Emre Celebi 001; Hassan A. Kingravi; Hitoshi Iyatomi; JeongKyu Lee; Y. Alp Aslandogan; William Van Stoecker; Randy H. Moss; Joseph M. Malters; Ashfaq A. Marghoob (Image Processing, 2007)

A methodological approach to the classification of dermoscopy images. - M. Emre Celebi 001; Hassan A. Kingravi; Bakhtiyar Uddin; Hitoshi Iyatomi; Y. Alp Aslandogan; William V. Stoecker; Randy H. Moss (Comput. Medical Imaging Graph., 2007)

Automatic detection of blue-white veil and related structures in dermoscopy images. - M. Emre Celebi 001; Hitoshi Iyatomi; William V. Stoecker; Randy H. Moss; Harold S. Rabinovitz; Giuseppe Argenziano; H. Peter Soyer (Comput. Medical Imaging Graph., 2008)

An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. - Hitoshi Iyatomi; Hiroshi Oka; M. Emre Celebi 001; Masahiro Hashimoto; Masafumi Hagiwara; Masaru Tanaka; Koichi Ogawa (Comput. Medical Imaging Graph., 2008)

Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. - M. Emre Celebi 001; Hitoshi Iyatomi; Gerald Schaefer (ICIP, 2009)

Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation. - Gerald Schaefer; Maher I. Rajab; M. Emre Celebi 001; Hitoshi Iyatomi (ICIP, 2009)

Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods. - M. Emre Celebi 001; Hitoshi Iyatomi; Gerald Schaefer; William V. Stoecker (PSIVT, 2009)

Lesion border detection in dermoscopy images. - M. Emre Celebi 001; Hitoshi Iyatomi; Gerald Schaefer; William V. Stoecker (Comput. Medical Imaging Graph., 2009)

Robust border detection in dermoscopy images using threshold fusion. - M. Emre Celebi 001; Sae Hwang; Hitoshi Iyatomi; Gerald Schaefer (ICIP, 2010)

Automated color normalization for dermoscopy images. - Hitoshi Iyatomi; M. Emre Celebi 001; Gerald Schaefer; Masaru Tanaka (ICIP, 2010)

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images - M. Emre Celebi 001; Gerald Schaefer; Hitoshi Iyatomi; William V. Stoecker; Joseph M. Malters; James M. Grichnik (CoRR, 2010)

Approximate Lesion Localization in Dermoscopy Images - M. Emre Celebi 001; Hitoshi Iyatomi; Gerald Schaefer; William V. Stoecker (CoRR, 2010)

Robust video-oculography for non-invasive autonomic nerve quantification. - Masaru Kiyama; Hitoshi Iyatomi; Koichi Ogawa (EMBC, 2011)

Feasibility evaluation of a motion detection system with face images for stereotactic radiosurgery. - Takuya Yamakawa; Koichi Ogawa; Hitoshi Iyatomi; Etsuo Kunieda (EMBC, 2011)

Automated color calibration method for dermoscopy images. - Hitoshi Iyatomi; M. Emre Celebi 001; Gerald Schaefer; Masaru Tanaka (Comput. Medical Imaging Graph., 2011)

Colour and contrast enhancement for improved skin lesion segmentation. - Gerald Schaefer; Maher I. Rajab; M. Emre Celebi 001; Hitoshi Iyatomi (Comput. Medical Imaging Graph., 2011)

Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning. - Gerald Schaefer; Bartosz Krawczyk; M. Emre Celebi 001; Hitoshi Iyatomi (ACPR, 2013)

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods. - M. Emre Celebi 001; Quan Wen; Sae Hwang; Hitoshi Iyatomi; Gerald Schaefer (CoRR, 2013)

Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features. - Gerald Schaefer; Bartosz Krawczyk; M. Emre Celebi 001; Hitoshi Iyatomi; Aboul Ella Hassanien (AMLTA, 2014)

Registration and color calibration for dermoscopy images in time-course analysis. - Daiji Furusho; Hitoshi Iyatomi (Computer-Aided Diagnosis, 2014)

Accurate discrimination of Alzheimer's disease from other dementia and/or normal subjects using SPECT specific volume analysis. - Hitoshi Iyatomi; Jun Hashimoto; Fumuhito Yoshii; Toshiki Kazama; Shuichi Kawada; Yutaka Imai (Computer-Aided Diagnosis, 2014)

A preliminary study for fully automated quantification of psoriasis severity using image mapping. - Kazuhiro Mukai; Hitoshi Iyatomi (Computer-Aided Diagnosis, 2014)

Extension of automated melanoma screening for non-melanocytic skin lesions. - Kouhei Shimizu; Hitoshi Iyatomi; Kerri-Ann Norton; M. Emre Celebi 001 (Int. J. Comput. Appl. Technol., 2014)

An ensemble classification approach for melanoma diagnosis. - Gerald Schaefer; Bartosz Krawczyk; M. Emre Celebi 001; Hitoshi Iyatomi (Memetic Comput., 2014)

Prototype of Super-Resolution Camera Array System. - Daiki Hirao; Hitoshi Iyatomi (ISVC (1), 2015)

Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. - Yusuke Kawasaki; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (ISVC (2), 2015)

Automated Habit Detection System: A Feasibility Study. - Hiroki Misawa; Takashi Obara; Hitoshi Iyatomi (ISVC (2), 2015)

Building of Readable Decision Trees for Automated Melanoma Discrimination. - Keiichi Ohki; M. Emre Celebi 001; Gerald Schaefer; Hitoshi Iyatomi (ISVC (2), 2015)

Four-Class Classification of Skin Lesions With Task Decomposition Strategy. - Kouhei Shimizu; Hitoshi Iyatomi; M. Emre Celebi 001; Kerri-Ann Norton; Masaru Tanaka (IEEE Trans. Biomed. Eng., 2015)

Document classification through image-based character embedding and wildcard training. - Daiki Shimada; Ryunosuke Kotani; Hitoshi Iyatomi (IEEE BigData, 2016)

Simple and effective pre-processing for automated melanoma discrimination based on cytological findings. - Takuya Yoshida; M. Emre Celebi 001; Gerald Schaefer; Hitoshi Iyatomi (IEEE BigData, 2016)

Basic Investigation on a Robust and Practical Plant Diagnostic System. - Erika Fujita; Yusuke Kawasaki; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (ICMLA, 2016)

End-to-End Text Classification via Image-based Embedding using Character-level Networks. - Shunsuke Kitada; Ryunosuke Kotani; Hitoshi Iyatomi (AIPR, 2018)

Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. - Hiroki Tani; Ryunosuke Kotani; Satoshi Kagiwada; Hiroyuki Uga; Hitoshi Iyatomi (AIPR, 2018)

Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders. - Hayato Arai; Yusuke Chayama; Hitoshi Iyatomi; Kenichi Oishi (EMBC, 2018)

Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. - Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2018)

Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning. - Seiya Murabayashi; Hitoshi Iyatomi (IEEE BigData, 2019)

Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. - Hideaki Okamoto; Quan Huu Cap; Takakiyo Nomura; Hitoshi Iyatomi; Jun Hashimoto (IEEE BigData, 2019)

Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. - Yuto Onga; Shingo Fujiyama; Hayato Arai; Yusuke Chayama; Hitoshi Iyatomi; Kenichi Oishi (IEEE BigData, 2019)

AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. - Takumi Saikawa; Quan Huu Cap; Satoshi Kagiwada; Hiroyuki Uga; Hitoshi Iyatomi (IEEE BigData, 2019)

A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. - Katsumasa Suwa; Quan Huu Cap; Ryunosuke Kotani; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (IEEE BigData, 2019)

Super-Resolution for Practical Automated Plant Disease Diagnosis System. - Quan Huu Cap; Hiroki Tani; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (CISS, 2019)

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (KDD, 2019)

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (CoRR, 2019)

AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. - Mahmoud Daif; Shunsuke Kitada; Hitoshi Iyatomi (ACL (student), 2020)

MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. - Quan Huu Cap; Hitoshi Iyatomi; Atsushi Fukuda (ICPR Workshops (1), 2020)

Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. - Takumi Aoki; Shunsuke Kitada; Hitoshi Iyatomi (AACL/IJCNLP (Student Research Workshop), 2020)

Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI. - Hayato Arai; Yuto Onga; Kumpei Ikuta; Yusuke Chayama; Hitoshi Iyatomi; Kenichi Oishi (IEEE Access, 2021)

Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. - Shunsuke Kitada; Hitoshi Iyatomi (IEEE Access, 2021)

LASSR: Effective super-resolution method for plant disease diagnosis. - Quan Huu Cap; Hiroki Tani; Satoshi Kagiwada; Hiroyuki Uga; Hitoshi Iyatomi (Comput. Electron. Agric., 2021)

Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. - Kasumi Obi; Quan Huu Cap; Noriko Umegaki-Arao; Masaru Tanaka; Hitoshi Iyatomi (CoRR, 2021)

Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. - Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2021)

Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training. - Hideaki Okamoto; Takakiyo Nomura; Kazuhito Nabeshima; Jun Hashimoto; Hitoshi Iyatomi (CoRR, 2021)

Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. - Tsubasa Nakagawa; Shunsuke Kitada; Hitoshi Iyatomi (CIKM, 2022)

Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. - Kei Nishimaki; Kumpei Ikuta; Yuto Onga; Hitoshi Iyatomi; Kenichi Oishi (SMC, 2022)

DM2S2: Deep Multimodal Sequence Sets With Hierarchical Modality Attention. - Shunsuke Kitada; Yuki Iwazaki; Riku Togashi; Hitoshi Iyatomi (IEEE Access, 2022)

Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. - Shunsuke Kitada; Hitoshi Iyatomi; Yoshifumi Seki (CoRR, 2022)

DM2S2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention. - Shunsuke Kitada; Yuki Iwazaki; Riku Togashi; Hitoshi Iyatomi (CoRR, 2022)

Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. - Kazuya Ohata; Shunsuke Kitada; Hitoshi Iyatomi (CoRR, 2022)

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. - Quan Huu Cap; Hiroyuki Uga; Satoshi Kagiwada; Hitoshi Iyatomi (IEEE Trans Autom. Sci. Eng., 2022)

How are Negative Articles Consumed? A Quantitative Analysis of User Behavior in a Real News Service. - Kazuya Ohata; Hitoshi Iyatomi; Hajime Morita; Kojiro Iizuka (SMC, 2023)

Acquiring a Low-Dimensional, Environment-Independent Representation of Brain MR Images for Content-Based Image Retrieval. - Shuya Tobari; Kenichi Oishi; Hitoshi Iyatomi (SMC, 2023)

PCSS: Skull Stripping With Posture Correction From 3D Brain MRI for Diverse Imaging Environment. - Kei Nishimaki; Kumpei Ikuta; Shingo Fujiyama; Kenichi Oishi; Hitoshi Iyatomi (IEEE Access, 2023)

Making attention mechanisms more robust and interpretable with virtual adversarial training. - Shunsuke Kitada; Hitoshi Iyatomi (Appl. Intell., 2023)

Image analysis in advanced skin imaging technology. - Lei Bi 001; M. Emre Celebi 001; Hitoshi Iyatomi; Pablo Fernandez-Penas; Jinman Kim (Comput. Methods Programs Biomed., 2023)

Towards robust plant disease diagnosis with hard-sample re-mining strategy. - Quan Huu Cap; Atsushi Fukuda; Satoshi Kagiwada; Hiroyuki Uga; Nobusuke Iwasaki; Hitoshi Iyatomi (Comput. Electron. Agric., 2023)

Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. - Takumi Ohashi; Tsubasa Nakagawa; Hitoshi Iyatomi (CIKM, 2024)

Isometric Feature Embedding for Content-Based Image Retrieval. - Hayato Muraki; Kei Nishimaki; Shuya Tobari; Kenichi Oishi; Hitoshi Iyatomi (CISS, 2024)

Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. - Ryosuke Wayama; Yuki Sasaki; Satoshi Kagiwada; Nobusuke Iwasaki; Hitoshi Iyatomi (Comput. Electron. Agric., 2024)

Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis. - Kohei Iwano; Shogo Shibuya; Satoshi Kagiwada; Hitoshi Iyatomi (CoRR, 2024)

Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis. - Shoma Kudo; Satoshi Kagiwada; Hitoshi Iyatomi (CoRR, 2024)

ReViSE : Proposal of Framework which Enables Seamless and Flexible Integration of Real and Virtual Objects for Video See-Through MR. - Koki Suzuki; Eito Yanagisawa; Hitoshi Iyatomi; Sousuke Nakamura (SII, 2025)

Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification. - Gent Imeraj; Hitoshi Iyatomi (IEEE Access, 2025)

Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. - Sota Nemoto; Shunsuke Kitada; Hitoshi Iyatomi (IEEE Access, 2025)

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training. - Hideaki Okamoto; Quan Huu Cap; Takakiyo Nomura; Kazuhito Nabeshima; Jun Hashimoto; Hitoshi Iyatomi (Artif. Intell. Medicine, 2025)

A practical framework for unsupervised structure preservation medical image enhancement. - Quan Huu Cap; Atsushi Fukuda; Hitoshi Iyatomi (Biomed. Signal Process. Control., 2025)

DDD: Discriminative Difficulty Distance for plant disease diagnosis. - Yuji Arima; Satoshi Kagiwada; Hitoshi Iyatomi (CoRR, 2025)

Domain-invariant feature learning in brain MR imaging for content-based image retrieval. - Shuya Tobari; Shuhei Tomoshige; Hayato Muraki; Kenichi Oishi; Hitoshi Iyatomi (CoRR, 2025)

iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings. - Shuhei Tomoshige; Hayato Muraki; Kenichi Oishi; Hitoshi Iyatomi (CoRR, 2025)

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers. - Takuro Kawada; Shunsuke Kitada; Sota Nemoto; Hitoshi Iyatomi (CoRR, 2025)