Tetsuya Asakawa

27 papers B 2Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Detecting Coronary Artery Stenosis from Cardiac CT Images using 3D CNNs. APSIPA Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Masashi Hashimoto, Takeshi Miyaji, Kei Nomura
2024	—	`conf`	Determination Stenosis from Coronary Stretch Images for CNN. ICECET Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Kei Nomura, Masaki Aono
2024	B	`conf`	Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN. CBMS Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Kei Nomura, Masaki Aono
2024	—	`conf`	Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble. CLEF (Working Notes) Koki Inoue, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono
2024	—	`conf`	KDE Lab at ImageCLEFmedical GANs 2024. CLEF (Working Notes) Shota Fukuyama, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono
2024	—	`conf`	KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net. CLEF (Working Notes) Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono
2024	—	`conf`	Medical Image Captioning using CUI-based Classification and Feature Similarity. CLEF (Working Notes) Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura
2024	—	`conf`	Predicting Stenosis Severity and Localization in Coronary Artery using Deep Learning. ICMVA Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Kei Nomura
2024	—	`conf`	Real-time Segmentation of Coronary Artery Calcification Using Spatial Attention and Parallel Convolution. APSIPA Tetsuya Asakawa, Masashi Hashimoto, Takeshi Miyaji, Kazuki Shimizu, Kei Nomura, Masaki Aono
2023	B	`conf`	Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring. CBMS Tetsuya Asakawa, Yuki Sugimoto, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda, Masaki Aono
2023	—	`conf`	KDE Lab at ImageCLEFmedical Caption 2023. CLEF (Working Notes) Hiroki Shinoda, Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Takuya Togawa
2023	—	`conf`	Multi-stage Medical Image Captioning using Classification and CLIP. CLEF (Working Notes) Masaki Aono, Hiroki Shinoda, Tetsuya Asakawa, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda
2023	—	`conf`	Predicting Stenosis in Coronary Arteries based on Deep Neural Network using Non-Contrast and Contrast Cardiac CT images. ICMVA Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuyuki Komoda
2023	—	`conf`	Real and Generated Image Classification using Multi-stage Transfer Learning. CLEF (Working Notes) Tetsuya Asakawa, Hiroki Shinoda, Takuya Togawa, Kazuki Shimizu, Masaki Aono
2022	—	`conf`	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) Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono
2022	—	`conf`	Kdelab at ImageCLEFmedical 2022 Caption Prediction Task. CLEF (Working Notes) Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono
2022	—	`conf`	Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble. CLEF (Working Notes) Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono
2021	—	`conf`	ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image. CLEF (Working Notes) Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono
2021	—	`conf`	Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning. CLEF (Working Notes) Riku Tsuneda, Tetsuya Asakawa, Masaki Aono
2021	—	`conf`	Multi-label Prediction for Visual Sentiment Analysis using Eight Different Emotions based on Psychology. ICCCV Tetsuya Asakawa, Masaki Aono
2021	—	`conf`	Visual Sentiment Analysis Multiplying Deep learning and Vision Transformers. MediaEval Tetsuya Asakawa, Riku Tsuneda, Masaki Aono
2020	—	`conf`	ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections. CLEF (Working Notes) Tetsuya Asakawa, Masaki Aono
2020	—	`conf`	Visual Sentiment Analysis for Few-Shot Image Classification Based on Metric Learning. APSIPA Tetsuya Asakawa, Masaki Aono
2019	—	`conf`	Median based Multi-label Prediction by Inflating Emotions with Dyads for Visual Sentiment Analysis. APSIPA Tetsuya Asakawa, Masaki Aono
2013	—	`conf`	Detrended Fluctuation Analysis of Photoplethysmography in Diabetic Nephropathy Patients on Hemodialysis. Brain and Health Informatics Yoshihiro Tsuji, Tetsuya Asakawa, Yasumasa Hitomi, Atsu Todo, Toshiko Yoshida, Yuko Mizuno-Matsumoto
2012	—	`conf`	Hippocampal response to emotional stimuli to evaluate personality stability in fMRI. SCIS&ISIS Yuko Mizuno-Matsumoto, Takuto Hayashi, Eika Okamoto, Daisuke Miwa, Tetsuya Asakawa, Makoto Kato, Tsutomu Murata
2012	—	`conf`	Response in cingulate cortex to emotional stimuli to evaluate personality stability in fMRI. SCIS&ISIS Yuko Mizuno-Matsumoto, Takuto Hayashi, Eika Okamoto, Daisuke Miwa, Tetsuya Asakawa, Makoto Kato, Tsutomu Murata