| Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy Y Kawata, H Arimura, K Ikushima, Z Jin, K Morita, C Tokunaga, ... Physica Medica 42, 141-149, 2017 | 25 | 2017 |
| Computer-assisted framework for machine-learning–based delineation of GTV regions on datasets of planning CT and PET/CT images K Ikushima, H Arimura, Z Jin, H Yabu-Uchi, J Kuwazuru, Y Shioyama, ... Journal of radiation research 58 (1), 123-134, 2017 | 20 | 2017 |
| An ellipsoid convex enhancement filter for detection of asymptomatic intracranial aneurysm candidates in CAD frameworks Z Jin, H Arimura, S Kakeda, F Yamashita, M Sasaki, Y Korogi Medical physics 43 (2), 951-960, 2016 | 12 | 2016 |
| Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method Z Jin, H Arimura, Y Shioyama, K Nakamura, J Kuwazuru, T Magome, ... Journal of radiation research 55 (6), 1153-1162, 2014 | 12 | 2014 |
| EFCOMFF-Net: A multiscale feature fusion architecture with enhanced feature correlation for remote sensing image scene classification J Chen, J Yi, A Chen, Z Jin IEEE Transactions on Geoscience and Remote Sensing 61, 1-17, 2023 | 9 | 2023 |
| Computer-assisted target volume determination H Arimura, Y Shibayama, M Haekal, Z Jin, K Ikushima Image-Based Computer-Assisted Radiation Therapy, 87-109, 2017 | 6 | 2017 |
| Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature S Yi, Y Jizheng, C Aibin, Z Jin Applied Soft Computing, 2021 | 5 | 2021 |
| Automated method for extraction of lung tumors using a machine learning classifier with knowledge of radiation oncologists on data sets of planning CT and FDG-PET/CT images H Arimura, Z Jin, Y Shioyama, K Nakamura, T Magome, M Sasaki 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 5 | 2013 |
| How many models/atlases are needed as priors for capturing anatomic population variations? Z Jin, JK Udupa, DA Torigian Medical image analysis 58, 101550, 2019 | 4 | 2019 |
| Semantic segmentation of liver tumor in contrast-enhanced hepatic CT by using deep learning with hessian-based enhancer with small training dataset size M Sato, Z Jin, K Suzuki 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 34-37, 2021 | 3 | 2021 |
| Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution Y Wang, Z Jin, Y Tokuda, Y Naoi, N Tomiyama, K Suzuki Proceedings of the 2019 8th International Conference on Computing and …, 2019 | 3 | 2019 |
| FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis Z Deng, Y Yang, K Suzuki, Z Jin 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images Z Jin, JK Udupa, DA Torigian Medical Imaging 2019: Image Processing 10949, 882-889, 2019 | 1 | 2019 |
| Evaluation of an automated identification system of unruptured intracranial aneurysm candidates based on a blob structure enhancement filter at 3.0 T magnetic resonance angiography Z Jin, H Arimura, Y Korogi, F Yamashita, M Sasaki IEICE Technical Report; IEICE Tech. Rep. 113 (410), 249-253, 2014 | 1 | 2014 |
| Computer-aided delineation of lung tumor regions in treatment planning CT images and PET/CT images using localized level set approach Z Jin, H Arimura, Y Shioyama, J Kuwazuru, T Magome, K Nakamura, ... IEICE Technical Report; IEICE Tech. Rep. 112 (411), 49-51, 2013 | 1 | 2013 |
| Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models Z Jin, M Pang, Y Yang, FP Mahdi, T Qu, R Sasage, K Suzuki International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels Z Deng, Z Jin, K Suzuki 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks X Lei, FP Mahdi, Z Jin, H Sun, Y Noguchi, M Murata, K Suzuki Medical Imaging 2023: Digital and Computational Pathology 12471, 170-173, 2023 | | 2023 |
| Radiomics: Approach to Precision Medicine Z Jin, T Yuan, Y Tokuda, Y Naoi, N Tomiyama, K Suzuki Artificial Intelligence and Machine Learning for Healthcare: Vol. 1: Image …, 2022 | | 2022 |
| Federated Tumor Segmentation with Patch-Wise Deep Learning Model Y Yang, Z Jin, K Suzuki International Workshop on Machine Learning in Medical Imaging, 456-465, 2022 | | 2022 |
