| 2026 | ACL | A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction. | Michito Takeshita, Takuro Kawada, Takumi Ohashi, Shunsuke Kitada, Hitoshi Iyatomi |
| 2026 | EACL | Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels. | Yuki Kishi, Yuji Arima, Hitoshi Iyatomi |
| 2025 | SMC | Acquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval. | Keima Abe, Hayato Muraki, Shuhei Tomoshige, Kenichi Oishi, Hitoshi Iyatomi |
| 2025 | SMC | CLIP-Guided Fusion of Image and Leaf Dictionary Features for Plant Disease Classification. | Gent Imeraj, Hitoshi Iyatomi |
| 2025 | SMC | RMNA: ROI-Mixup and Neighborhood Alignment for Cross-Domain Plant Disease Classification. | Boheng Li, Hitoshi Iyatomi |
| 2025 | VCIP | Robust Plant Disease Diagnosis with Few Target-Domain Samples. | Takafumi Nogami, Satoshi Kagiwada, Hitoshi Iyatomi |
| 2024 | CIKM | Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement. | Takumi Ohashi, Tsubasa Nakagawa, Hitoshi Iyatomi |
| 2024 | CISS | Isometric Feature Embedding for Content-Based Image Retrieval. | Hayato Muraki, Kei Nishimaki, Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi |
| 2023 | SMC | How are Negative Articles Consumed? A Quantitative Analysis of User Behavior in a Real News Service. | Kazuya Ohata, Hitoshi Iyatomi, Hajime Morita, Kojiro Iizuka |
| 2023 | SMC | Acquiring a Low-Dimensional, Environment-Independent Representation of Brain MR Images for Content-Based Image Retrieval. | Shuya Tobari, Kenichi Oishi, Hitoshi Iyatomi |
| 2022 | CIKM | Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. | Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi |
| 2022 | SMC | 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 |
| 2020 | ACL | AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. | Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi |
| 2020 | ICPR | MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. | Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda |
| 2020 | IJCNLP | Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. | Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi |
| 2019 | CISS | Super-Resolution for Practical Automated Plant Disease Diagnosis System. | Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi |
| 2019 | KDD | Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. | Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki |
| 2016 | ICMLA | Basic Investigation on a Robust and Practical Plant Diagnostic System. | Erika Fujita, Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi |
| 2015 | ISVC | Prototype of Super-Resolution Camera Array System. | Daiki Hirao, Hitoshi Iyatomi |
| 2015 | ISVC | Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks. | Yusuke Kawasaki, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi |
| 2015 | ISVC | Automated Habit Detection System: A Feasibility Study. | Hiroki Misawa, Takashi Obara, Hitoshi Iyatomi |
| 2015 | ISVC | Building of Readable Decision Trees for Automated Melanoma Discrimination. | Keiichi Ohki, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi |
| 2010 | ICIP | Robust border detection in dermoscopy images using threshold fusion. | M. Emre Celebi, Sae Hwang, Hitoshi Iyatomi, Gerald Schaefer |
| 2010 | ICIP | Automated color normalization for dermoscopy images. | Hitoshi Iyatomi, M. Emre Celebi, Gerald Schaefer, Masaru Tanaka |
| 2009 | ICIP | Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. | M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer |
| 2009 | ICIP | Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation. | Gerald Schaefer, Maher I. Rajab, M. Emre Celebi, Hitoshi Iyatomi |
| 2009 | PSIVT | Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods. | M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker |
| 2005 | CIBCB | An Internet-based Melanoma Diagnostic System - Toward the Practical Application. | Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa |
| 1998 | SMC | Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks. | Hitoshi Iyatomi, Masafumi Hagiwara |