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2020 – today
- 2024
[c19]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- [c18]Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura:
Medical Image Captioning using CUI-based Classification and Feature Similarity. CLEF (Working Notes) 2024: 1490-1499 - [c17]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 - [c16]Shota Fukuyama, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
KDE Lab at ImageCLEFmedical GANs 2024. CLEF (Working Notes) 2024: 1608-1612 - [c15]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 - [c14]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 - 2023
- [c13]Tetsuya Asakawa, Yuki Sugimoto, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda, Masaki Aono:
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring. CBMS 2023: 446-449 - [c12]Masaki Aono, Hiroki Shinoda, Tetsuya Asakawa, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda:
Multi-stage Medical Image Captioning using Classification and CLIP. CLEF (Working Notes) 2023: 1387-1395 - [c11]Tetsuya Asakawa, Hiroki Shinoda, Takuya Togawa, Kazuki Shimizu, Masaki Aono:
Real and Generated Image Classification using Multi-stage Transfer Learning. CLEF (Working Notes) 2023: 1396-1402 - [c10]Hiroki Shinoda, Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Takuya Togawa:
KDE Lab at ImageCLEFmedical Caption 2023. CLEF (Working Notes) 2023: 1688-1701 - [c9]Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuyuki Komoda:
Predicting Stenosis in Coronary Arteries based on Deep Neural Network using Non-Contrast and Contrast Cardiac CT images. ICMVA 2023 - 2022
- [c8]Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
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. CLEF (Working Notes) 2022: 1347-1354 - [c7]Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
Kdelab at ImageCLEFmedical 2022 Caption Prediction Task. CLEF (Working Notes) 2022: 1596-1607 - [c6]Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble. CLEF (Working Notes) 2022: 1608-1618 - [c5]Ryo Nakamura, Kazuki Shimizu, Teppei Kamata, Cristel Pelsser:
A First Measurement with BGP Egress Peer Engineering. PAM 2022: 199-215 - 2021
- [c4]Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image. CLEF (Working Notes) 2021: 1151-1159 - [c3]Yutaro Kashiwa, Kazuki Shimizu, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei, Naoyasu Ubayashi:
Does Refactoring Break Tests and to What Extent? ICSME 2021: 171-182
2010 – 2019
- 2018
- [c2]Ryo Nakamura, Yukito Ueno, Teppei Kamata, Kazuki Shimizu, Takashi Tomine, Takayuki Watanabe:
Practical Service Chaining based on IP Routing. AINTEC 2018: 24-31 - 2017
- [c1]Kazuki Shimizu, Hidekazu Suzuki, Katsuhiro Naito, Akira Watanabe:
Realization and evaluation of Java wrapper that calls the end-to-end communication library. ICMU 2017: 1-2
Coauthor Index
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