Realization and evaluation of Java wrapper that calls the end-to-end communication library. - Kazuki Shimizu; Hidekazu Suzuki; Katsuhiro Naito; Akira Watanabe (ICMU, 2017)

Practical Service Chaining based on IP Routing. - Ryo Nakamura; Yukito Ueno; Teppei Kamata; Kazuki Shimizu; Takashi Tomine; Takayuki Watanabe (AINTEC, 2018)

ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image. - Tetsuya Asakawa; Riku Tsuneda; Kazuki Shimizu; Takuyuki Komoda; Masaki Aono (CLEF (Working Notes), 2021)

Does Refactoring Break Tests and to What Extent? - Yutaro Kashiwa; Kazuki Shimizu; Bin Lin 008; Gabriele Bavota; Michele Lanza 001; Yasutaka Kamei; Naoyasu Ubayashi (ICSME, 2021)

Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class classification using SRGAN. - Tetsuya Asakawa; Riku Tsuneda; Kazuki Shimizu; Takuyuki Komoda; Masaki Aono (CLEF (Working Notes), 2022)

Kdelab at ImageCLEFmedical 2022 Caption Prediction Task. - Riku Tsuneda; Tetsuya Asakawa; Kazuki Shimizu; Takuyuki Komoda; Masaki Aono (CLEF (Working Notes), 2022)

Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble. - Riku Tsuneda; Tetsuya Asakawa; Kazuki Shimizu; Takuyuki Komoda; Masaki Aono (CLEF (Working Notes), 2022)

A First Measurement with BGP Egress Peer Engineering. - Ryo Nakamura; Kazuki Shimizu; Teppei Kamata; Cristel Pelsser (PAM, 2022)

Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring. - Tetsuya Asakawa; Yuki Sugimoto; Hiroki Shinoda; Kazuki Shimizu; Takuya Togawa; Takuyuki Komoda; Masaki Aono (CBMS, 2023)

Multi-stage Medical Image Captioning using Classification and CLIP. - Masaki Aono; Hiroki Shinoda; Tetsuya Asakawa; Kazuki Shimizu; Takuya Togawa; Takuyuki Komoda (CLEF (Working Notes), 2023)

Real and Generated Image Classification using Multi-stage Transfer Learning. - Tetsuya Asakawa; Hiroki Shinoda; Takuya Togawa; Kazuki Shimizu; Masaki Aono (CLEF (Working Notes), 2023)

KDE Lab at ImageCLEFmedical Caption 2023. - Hiroki Shinoda; Masaki Aono; Tetsuya Asakawa; Kazuki Shimizu; Takuyuki Komoda; Takuya Togawa (CLEF (Working Notes), 2023)

Predicting Stenosis in Coronary Arteries based on Deep Neural Network using Non-Contrast and Contrast Cardiac CT images. - Masaki Aono; Tetsuya Asakawa; Hiroki Shinoda; Kazuki Shimizu; Takuyuki Komoda (ICMVA, 2023)

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)