Hippocampal response to emotional stimuli to evaluate personality stability in fMRI. - Yuko Mizuno-Matsumoto; Takuto Hayashi; Eika Okamoto; Daisuke Miwa; Tetsuya Asakawa; Makoto Kato; Tsutomu Murata (SCIS&ISIS, 2012)

Response in cingulate cortex to emotional stimuli to evaluate personality stability in fMRI. - Yuko Mizuno-Matsumoto; Takuto Hayashi; Eika Okamoto; Daisuke Miwa; Tetsuya Asakawa; Makoto Kato; Tsutomu Murata (SCIS&ISIS, 2012)

Detrended Fluctuation Analysis of Photoplethysmography in Diabetic Nephropathy Patients on Hemodialysis. - Yoshihiro Tsuji; Tetsuya Asakawa; Yasumasa Hitomi; Atsu Todo; Toshiko Yoshida; Yuko Mizuno-Matsumoto (Brain and Health Informatics, 2013)

Median based Multi-label Prediction by Inflating Emotions with Dyads for Visual Sentiment Analysis. - Tetsuya Asakawa; Masaki Aono (APSIPA, 2019)

Visual Sentiment Analysis for Few-Shot Image Classification Based on Metric Learning. - Tetsuya Asakawa; Masaki Aono (APSIPA, 2020)

ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections. - Tetsuya Asakawa; Masaki Aono (CLEF (Working Notes), 2020)

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)

Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning. - Riku Tsuneda; Tetsuya Asakawa; Masaki Aono (CLEF (Working Notes), 2021)

Multi-label Prediction for Visual Sentiment Analysis using Eight Different Emotions based on Psychology. - Tetsuya Asakawa; Masaki Aono (ICCCV, 2021)

Visual Sentiment Analysis Multiplying Deep learning and Vision Transformers. - Tetsuya Asakawa; Riku Tsuneda; Masaki Aono (MediaEval, 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)

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)