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JINZE 2023年 研究業績一覧 (11件 / 39件)
国際会議発表 (査読有り)
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Jin Z.,
Pang M.,
Qu T.,
Oshibe H.,
Sasage R.,
Suzuki K..
Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation,
Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA),
Nov. 2023.
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Yang Y.,
Jin Z.,
Suzuki K..
Federated learning - Game changing AI concept to train AI without sending patient data out from hospitals,
Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA),
Nov. 2023.
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Yang S.,
Xiang M.,
Qu T.,
Jin Z.,
Suzuki K..
Reconstruction of Fast Acquisition MRI with Under-sampled K-space Data by Using Massive-Training Artificial Neural Networks (MTANNs),
Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA),
Nov. 2023.
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Yang Y.,
Jin Z.,
Nakatani F.,
Miyake M.,
Suzuki K..
Development of a small-data deep-learning model based on an MTANN for soft tissue sarcoma diagnosis in MRI,
Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA),
Nov. 2023.
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Ze Jin,
Maolin Pang,
Yuqiao Yang,
Fahad Parvez Mahdi,
Tianyi Qu,
Ren Sasage,
Kenji Suzuki.
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models,
The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023),
Lecture notes in computer science, LNCS,
Oct. 2023.
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Pang M.,
Jin Z.,
Qu T.,
Mahdi F. P.,
Sasage R.,
Suzuki K..
Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation,
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023),
July 2023.
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Deng Z.,
Jin Z.,
Suzuki K..
Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels,
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023),
July 2023.
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Yang Y.,
Jin Z.,
Nakatani F.,
Miyake M.,
Suzuki K..
AI-aided Diagnosis of Rare Soft-Tissue Sarcoma by Means of Massive-Training Artificial Neural Network (MTANN),
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023),
July 2023.
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Yang S.,
Xiang M.,
Qu T.,
Jin Z.,
Suzuki K..
Under-sampled Image Reconstruction in Fast Acquisition MRI with Massive-Training Artificial Neural Networks (MTANNs) Deep Learning Approach,
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023),
July 2023.
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Xu L.,
Mahdi F. P.,
Jin Z.,
Noguchi Y.,
Murata M.,
Suzuki K..
Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks,
SPIE Medical Imaging (SPIE MI),
Proceedings of SPIE,
Apr. 2023.
公式リンク
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Zhipeng Deng,
Ze Jin,
Kenji Suzuki.
Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Multi-scale-Kernel Massive-Training Artificial Neural Network (MTANN) for Generating Virtual High-Dose Images,
European Congress of Radiology (ECR 2023),
Mar. 2023.
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