Detecting Coronary Artery Stenosis from Cardiac CT Images using 3D CNNs. - Masaki Aono; Tetsuya Asakawa; Kazuki Shimizu; Masashi Hashimoto; Takeshi Miyaji; Kei Nomura (APSIPA, 2024)

Real-time Segmentation of Coronary Artery Calcification Using Spatial Attention and Parallel Convolution. - Tetsuya Asakawa; Masashi Hashimoto; Takeshi Miyaji; Kazuki Shimizu; Kei Nomura; Masaki Aono (APSIPA, 2024)

Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN. - Tetsuya Asakawa; Hiroki Shinoda; Kazuki Shimizu; Kei Nomura; Masaki Aono (CBMS, 2024)

Medical Image Captioning using CUI-based Classification and Feature Similarity. - Masaki Aono; Tetsuya Asakawa; Kazuki Shimizu; Kei Nomura (CLEF (Working Notes), 2024)

KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net. - Tetsuya Asakawa; Kazuki Shimizu; Kei Nomura; Masaki Aono (CLEF (Working Notes), 2024)

KDE Lab at ImageCLEFmedical GANs 2024. - Shota Fukuyama; Tetsuya Asakawa; Kazuki Shimizu; Kei Nomura; Masaki Aono (CLEF (Working Notes), 2024)

Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble. - Koki Inoue; Tetsuya Asakawa; Kazuki Shimizu; Kei Nomura; Masaki Aono (CLEF (Working Notes), 2024)

Determination Stenosis from Coronary Stretch Images for CNN. - Tetsuya Asakawa; Hiroki Shinoda; Kazuki Shimizu; Kei Nomura; Masaki Aono (ICECET, 2024)

Predicting Stenosis Severity and Localization in Coronary Artery using Deep Learning. - Masaki Aono; Tetsuya Asakawa; Hiroki Shinoda; Kazuki Shimizu; Takuya Togawa; Kei Nomura (ICMVA, 2024)