| A deep convolutional gated recurrent unit for CT image reconstruction M Ikuta, J Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10612-10625, 2022 | 25 | 2022 |
| A deep recurrent neural network with FISTA optimization for CT metal artifact reduction M Ikuta, J Zhang IEEE Transactions on Computational Imaging 8, 961-971, 2022 | 9 | 2022 |
| Automated method to estimate the baseline parameters for deriving the accurate digital elevation model M Kagawa, H Hanaizumi SAR Image Analysis, Modeling, and Techniques III 4173, 211-218, 2000 | 5 | 2000 |
| Fast method for unwrapping InSAR raw interferogram H Hanaizumi, M Kagawa, S Fujimura Image and Signal Processing for Remote Sensing V 3871, 63-70, 1999 | 5 | 1999 |
| TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems M Ikuta, J Zhang Medical Imaging 2021: Image Processing 11596, 336-344, 2021 | 4 | 2021 |
| Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation MRH Taher, M Ikuta, R Soni Machine Learning for Health (ML4H), 145-156, 2023 | 2 | 2023 |
| TextureWGAN: texture preserving WGAN with multitask regularizer for computed tomography inverse problems M Ikuta, J Zhang Journal of Medical Imaging 10 (2), 024003-024003, 2023 | 2 | 2023 |
| A deep recurrent neural network with gated momentum unit for CT image reconstruction M Ikuta Authorea Preprints, 2021 | 2 | 2021 |
| Automated pericardium-segmentation using an attention-based convolutional neural network A Suntwal, R Kumar, S Kumar, P Reddy, A Deubig, Y Li, GK Padmashree, ... Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 462-471, 2024 | 1 | 2024 |
| Head re-orientation along desired plane using deep learning based landmark detection for CT images D Anand, V Singhal, M Bonnard, A Deubig, S Dutta, U Patil, R Mullick, ... Medical Imaging 2024: Image Processing 12926, 761-766, 2024 | 1 | 2024 |
| Artifact-driven data synthesis in computed tomography M Ikuta, J Hong, RK Tamada, R Soni US Patent App. 17/937,152, 2024 | | 2024 |
| Low does calcium scoring in cardiac computer tomography using deep learning V Singhal, S Abrol, D Mulot, A Deubig, S Dutta, B Das, M Ikuta, P Prakash Medical Imaging 2024: Computer-Aided Diagnosis 12927, 514-520, 2024 | | 2024 |
| Boundary-aware uncertainty for automatic caliper placement R Sathish, R Venkataramani, C Aladahalli, KS Shriram, P Sudhakar Medical Imaging 2024: Image Processing 12926, 288-291, 2024 | | 2024 |
| Enhancing 3D Cardiac CT Segmentation with Latent Diffusion Model and Self-Supervised Learning Q Hu, AV Addala, M Ikuta, R Soni, G Avinash | | 2024 |
| A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction M Ikuta, J Zhang Medical Imaging 2022: Image Processing 12032, 408-414, 2022 | | 2022 |
| A Deep Recurrent Neural Network with Iterative Optimization for Inverse Image Processing Applications M Ikuta The University of Wisconsin-Milwaukee, 2021 | | 2021 |
| Development of a System for InSAR Phase Processing M KAGAWA, H HANAIZUMI Transactions of the Society of Instrument and Control Engineers 37 (11 …, 2001 | | 2001 |
| InSAR に お ける位相 情報処理 システムの 開発† 香 川 昌 己*・花 泉 弘 M KAGAWA, H HANAIZUMI 計測自動制御学会論文集 37 (11), 1013, 2001 | | 2001 |
| InSAR における位相情報処理システムの開発 香川昌己， 花泉弘 計測自動制御学会論文集 37 (11), 1012-1019, 2001 | | 2001 |
| A phase unwrapping method using direct residue removing M Kagawa, H Hanaizumi IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium …, 2000 | | 2000 |