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2020 – today
- 2024
[c8]Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Masashi Hahsimoto, Takeshi Miyaji, Kei Nomura:
Detecting Coronary Artery Stenosis from Cardiac CT Images using 3D CNNs. APSIPA 2024: 1-6- [c7]Tetsuya Asakawa, Masashi Hashimoto, Takeshi Miyaji, Kazuki Shimizu, Kei Nomura, Masaki Aono:
Real-time Segmentation of Coronary Artery Calcification Using Spatial Attention and Parallel Convolution. APSIPA 2024: 1-5 - [c6]Tetsuya Asakawa
, Hiroki Shinoda, Kazuki Shimizu, Kei Nomura, Masaki Aono:
Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN. CBMS 2024: 9-14 - [c5]Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura:
Medical Image Captioning using CUI-based Classification and Feature Similarity. CLEF (Working Notes) 2024: 1490-1499 - [c4]Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net. CLEF (Working Notes) 2024: 1500-1507 - [c3]Shota Fukuyama, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
KDE Lab at ImageCLEFmedical GANs 2024. CLEF (Working Notes) 2024: 1608-1612 - [c2]Koki Inoue, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble. CLEF (Working Notes) 2024: 1640-1644 - [c1]Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Kei Nomura:
Predicting Stenosis Severity and Localization in Coronary Artery using Deep Learning. ICMVA 2024: 117-125
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