Hitoshi Iyatomi

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 63

Top Topics

Text Classification

Disease Diagnosis

Convolutional Neural Networks

Top Venues

Comput. Electron. Agric.

Publications

Hayato Muraki, Kei Nishimaki, Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi
Isometric Feature Embedding for Content-Based Image Retrieval. CISS (2024)
Kohei Iwano, Shogo Shibuya, Satoshi Kagiwada, Hitoshi Iyatomi
Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis. CoRR (2024)
Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. CoRR (2024)
Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, Nobusuke Iwasaki, Hitoshi Iyatomi
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework. Comput. Electron. Agric. 222 (2024)
Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. CoRR (2024)
Kazuya Ohata, Hitoshi Iyatomi, Hajime Morita, Kojiro Iizuka
How are Negative Articles Consumed? A Quantitative Analysis of User Behavior in a Real News Service. SMC (2023)
Kei Nishimaki, Kumpei Ikuta, Shingo Fujiyama, Kenichi Oishi, Hitoshi Iyatomi
PCSS: Skull Stripping With Posture Correction From 3D Brain MRI for Diverse Imaging Environment. IEEE Access 11 (2023)
Shunsuke Kitada, Hitoshi Iyatomi
Making attention mechanisms more robust and interpretable with virtual adversarial training. Appl. Intell. 53 (12) (2023)
Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi
Acquiring a Low-Dimensional, Environment-Independent Representation of Brain MR Images for Content-Based Image Retrieval. SMC (2023)
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy. CoRR (2023)
Quan Huu Cap, Atsushi Fukuda, Hitoshi Iyatomi
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement. CoRR (2023)
Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238 (2023)
Quan Huu Cap, Atsushi Fukuda, Satoshi Kagiwada, Hiroyuki Uga, Nobusuke Iwasaki, Hitoshi Iyatomi
Towards robust plant disease diagnosis with hard-sample re-mining strategy. Comput. Electron. Agric. 215 (2023)
Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. SMC (2022)
Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi
: Deep Multimodal Sequence Sets With Hierarchical Modality Attention. IEEE Access 10 (2022)
Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi
: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention. CoRR (2022)
Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CoRR (2022)
Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. CoRR (2022)
Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. CoRR (2022)
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Kei Nishimaki, Kumpei Ikuta, Yuto Onga, Hitoshi Iyatomi, Kenichi Oishi
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval. CoRR (2022)
Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CIKM (2022)
Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI. CoRR (2021)
Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training. CoRR (2021)
Shunsuke Kitada, Hitoshi Iyatomi
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. CoRR (2021)
Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI. IEEE Access 9 (2021)
Quan Huu Cap, Hiroki Tani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
LASSR: Effective super-resolution method for plant disease diagnosis. Comput. Electron. Agric. 187 (2021)
Kasumi Obi, Quan Huu Cap, Noriko Umegaki-Arao, Masaru Tanaka, Hitoshi Iyatomi
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis. CoRR (2021)
Shunsuke Kitada, Hitoshi Iyatomi
Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. IEEE Access 9 (2021)
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. CoRR (2020)
Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss. CoRR (2020)
Shunsuke Kitada, Hitoshi Iyatomi
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training. CoRR (2020)
Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. AACL/IJCNLP (Student Research Workshop) (2020)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis. CoRR (2020)
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. ICPR Workshops (1) (2020)
Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. CoRR (2020)
Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. ACL (student) (2020)
Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. CoRR (2020)
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. IEEE BigData (2019)
Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. CoRR (2019)
Hideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, Hitoshi Iyatomi, Jun Hashimoto
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. IEEE BigData (2019)
Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. CoRR (2019)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CISS (2019)
Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. KDD (2019)
Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. CoRR (2019)
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. IEEE BigData (2019)
Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Super-Resolution for Practical Automated Plant Disease Diagnosis System. CoRR (2019)
Seiya Murabayashi, Hitoshi Iyatomi
Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning. IEEE BigData (2019)
Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. IEEE BigData (2019)
Katsumasa Suwa, Quan Huu Cap, Ryunosuke Kotani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. CoRR (2019)
Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
End-to-End Text Classification via Image-based Embedding using Character-level Networks. CoRR (2018)
Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders. EMBC (2018)
Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
End-to-End Text Classification via Image-based Embedding using Character-level Networks. AIPR (2018)
Hiroki Tani, Ryunosuke Kotani, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
Diagnosis of Multiple Cucumber Infections with Convolutional Neural Networks. AIPR (2018)
Shunsuke Kitada, Hitoshi Iyatomi
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. CoRR (2018)
Takuya Yoshida, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi
Simple and effective pre-processing for automated melanoma discrimination based on cytological findings. IEEE BigData (2016)
Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Basic Investigation on a Robust and Practical Plant Diagnostic System. ICMLA (2016)
Daiki Shimada, Ryunosuke Kotani, Hitoshi Iyatomi
Document classification through image-based character embedding and wildcard training. IEEE BigData (2016)
Kouhei Shimizu, Hitoshi Iyatomi, M. Emre Celebi, Kerri-Ann Norton, Masaru Tanaka
Four-Class Classification of Skin Lesions With Task Decomposition Strategy. IEEE Trans. Biomed. Eng. 62 (1) (2015)
Keiichi Ohki, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi
Building of Readable Decision Trees for Automated Melanoma Discrimination. ISVC (2) (2015)
Hiroki Misawa, Takashi Obara, Hitoshi Iyatomi
Automated Habit Detection System: A Feasibility Study. ISVC (2) (2015)
Daiki Hirao, Hitoshi Iyatomi
Prototype of Super-Resolution Camera Array System. ISVC (1) (2015)
Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. ISVC (2) (2015)
Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
An ensemble classification approach for melanoma diagnosis. Memetic Comput. 6 (4) (2014)
Daiji Furusho, Hitoshi Iyatomi
Registration and color calibration for dermoscopy images in time-course analysis. Medical Imaging: Computer-Aided Diagnosis (2014)
Kouhei Shimizu, Hitoshi Iyatomi, Kerri-Ann Norton, M. Emre Celebi
Extension of automated melanoma screening for non-melanocytic skin lesions. Int. J. Comput. Appl. Technol. 50 (1/2) (2014)
Kazuhiro Mukai, Hitoshi Iyatomi
A preliminary study for fully automated quantification of psoriasis severity using image mapping. Medical Imaging: Computer-Aided Diagnosis (2014)
Hitoshi Iyatomi, Jun Hashimoto, Fumuhito Yoshii, Toshiki Kazama, Shuichi Kawada, Yutaka Imai
Accurate discrimination of Alzheimer's disease from other dementia and/or normal subjects using SPECT specific volume analysis. Medical Imaging: Computer-Aided Diagnosis (2014)
Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi, Aboul Ella Hassanien
Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features. AMLTA (2014)
Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning. ACPR (2013)
M. Emre Celebi, Quan Wen, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods. CoRR (2013)
Masaru Kiyama, Hitoshi Iyatomi, Koichi Ogawa
Robust video-oculography for non-invasive autonomic nerve quantification. EMBC (2011)
Takuya Yamakawa, Koichi Ogawa, Hitoshi Iyatomi, Etsuo Kunieda
Feasibility evaluation of a motion detection system with face images for stereotactic radiosurgery. EMBC (2011)
Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi
Colour and contrast enhancement for improved skin lesion segmentation. Comput. Medical Imaging Graph. 35 (2) (2011)
Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka
Automated color calibration method for dermoscopy images. Comput. Medical Imaging Graph. 35 (2) (2011)
Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka
Automated color normalization for dermoscopy images. ICIP (2010)
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
Lesion Border Detection in Dermoscopy Images CoRR (2010)
M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi, William V. Stoecker, Joseph M. Malters, James M. Grichnik
An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images CoRR (2010)
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
Approximate Lesion Localization in Dermoscopy Images CoRR (2010)
M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images CoRR (2010)
M. Emre Celebi, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer
Robust border detection in dermoscopy images using threshold fusion. ICIP (2010)
Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi
Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation. ICIP (2009)
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer
Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. ICIP (2009)
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
Lesion border detection in dermoscopy images. Comput. Medical Imaging Graph. 33 (2) (2009)
M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker
Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods. PSIVT (2009)
Hitoshi Iyatomi, Hiroshi Oka, M. Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa
An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput. Medical Imaging Graph. 32 (7) (2008)
M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
Automatic detection of blue-white veil and related structures in dermoscopy images. Comput. Medical Imaging Graph. 32 (8) (2008)
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
Fast and accurate border detection in dermoscopy images using statistical region merging. Medical Imaging: Image Processing (2007)
M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker, Randy H. Moss
A methodological approach to the classification of dermoscopy images. Comput. Medical Imaging Graph. 31 (6) (2007)
Hitoshi Iyatomi, Masafumi Hagiwara
Multipurpose image recognition based on active search and adaptive fuzzy inference neural network. Systems and Computers in Japan 37 (3) (2006)
Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka, Koichi Ogawa
Automatic Identification of Shot Body Region from Clinical Photographies. AIPR (2006)
Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa
An Internet-based Melanoma Diagnostic System - Toward the Practical Application. CIBCB (2005)
Hitoshi Iyatomi, Masafumi Hagiwara
Adaptive fuzzy inference neural network. Pattern Recognit. 37 (10) (2004)
Hitoshi Iyatomi, Masafumi Hagiwara
Scenery image recognition and interpretation using fuzzy inference neural networks. Pattern Recognit. 35 (8) (2002)
Hitoshi Iyatomi, Masafumi Hagiwara
Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks. SMC (1998)