| Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma H Tomita, T Yamashiro, J Heianna, T Nakasone, T Kobayashi, S Mishiro, ... Cancers 13 (4), 600, 2021 | 26 | 2021 |
| Putative Neural Network Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant: The Ultra-structures and Mathematical … Y Takeichi, T Uebi, N Miyazaki, K Murata, K Yasuyama, K Inoue, T Suzaki, ... Frontiers in Cellular Neuroscience 12, 2018 | 20 | 2018 |
| Effect of the Pixel Interpolation Method for Downsampling Medical Images on Deep Learning Accuracy D Hirahara, E Takaya, M Kadowaki, Y Kobayashi, T Ueda Journal of Computer and Communications 9 (11), 150-156, 2021 | 18 | 2021 |
| Effects of data count and image scaling on Deep Learning training D Hirahara, E Takaya, T Takahara, T Ueda PeerJ Computer Science 6, e312, 2020 | 17 | 2020 |
| Sequential semi-supervised segmentation for serial electron microscopy image with small number of labels E Takaya, Y Takeichi, M Ozaki, S Kurihara Journal of Neuroscience Methods 351, 109066, 2021 | 12 | 2021 |
| Automatic plot generation framework for scenario creation Y Kawano, E Takaya, K Yamanobe, S Kurihara Interactive Storytelling: 11th International Conference on Interactive …, 2018 | 7 | 2018 |
| Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART‐2 study K Nakano, K Nochioka, S Yasuda, D Tamori, T Shiroto, Y Sato, E Takaya, ... ESC heart failure 10 (3), 1597-1604, 2023 | 6 | 2023 |
| Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images D Shimokawa, K Takahashi, D Kurosawa, E Takaya, K Oba, K Yagishita, ... Radiological Physics and Technology 16 (1), 20-27, 2023 | 6 | 2023 |
| Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a … H Tomita, T Kobayashi, E Takaya, S Mishiro, D Hirahara, A Fujikawa, ... European Radiology 32 (8), 5353-5361, 2022 | 6 | 2022 |
| Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage S Sonobe, T Ishikawa, K Niizuma, E Kawakami, T Ueda, E Takaya, ... Interdisciplinary Neurosurgery 29, 101560, 2022 | 4 | 2022 |
| Tactile Tile Detection Integrated with Ground Detection using an RGB-Depth Sensor. Y Yamanaka, E Takaya, S Kurihara ICAART (2), 750-757, 2020 | 4 | 2020 |
| 人の感情を反映したマルチモーダル対話システムモデルの提案 覚井悠生， 蛭田興明， 須賀聖， 川野陽慈， 高屋英知， 加藤慶彦， 栗原聡 人工知能学会全国大会論文集 第 35 回 (2021), 4D4OS4c02-4D4OS4c02, 2021 | 3 | 2021 |
| Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis D Shimokawa, K Takahashi, K Oba, E Takaya, T Usuzaki, M Kadowaki, ... Radiological Physics and Technology 16 (3), 406-413, 2023 | 2 | 2023 |
| 動的環境におけるマルチエージェントプランニングの提案 吉田直人， 高屋英知， 加藤慶彦， 栗原聡 研究報告知能システム (ICS) 2020 (9), 1-7, 2020 | 2 | 2020 |
| Multi-agent traffic signal control system using deep Q-Network Y KANZAKI, K OHNO, E TAKAYA, S KURIHARA Proceedings of the Annual Conference of JSAI 33rd (2019), 2F1E305-2F1E305, 2019 | 2 | 2019 |
| 多変量時系列変数マルチチャネル変換画像分類における深層学習の適用 蛭田興明， 梁木俊冴， 高屋英知， 伊藤千輝， 荒牧大樹， 稲垣隆雄， ... 人工知能学会全国大会論文集 第 33 回 (2019), 1C4J302-1C4J302, 2019 | 2 | 2019 |
| 雰囲気を反映した BGM 推薦システムの提案 坂井栞， 高屋英知， 池田圭佑， 川野陽慈， 佐藤圭， 山内和樹， 大矢隼士， ... 行動変容と社会システム vol. 03 2018, 2018 | 2 | 2018 |
| 道路交通システムにおけるプローブ情報を用いた交通流予測手法の検討 大野啓介， 高屋英知， 松本洋， 森田哲郎， 栗原聡 人工知能学会全国大会論文集 第 32 回 (2018), 2A403-2A403, 2018 | 2 | 2018 |
| Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer T Haraguchi, Y Kobayashi, D Hirahara, T Kobayashi, E Takaya, MT Nagai, ... J. Xray Sci. Technol 31, 627-640, 2023 | 1 | 2023 |
| Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma., 2021 … H Tomita, T Yamashiro, J Heianna, T Nakasone, T Kobayashi, S Mishiro, ... DOI: https://doi. org/10.3390/cancers13040600, 2021 | 1 | 2021 |
Daisuke HiraharaHarada Academy, St. Marianna University School of Medicine,Verified email at harada-gakuen.ac.jp
