研究業績

著書

  • 市川智章（著），室賀浩二（著），檜垣徹（分担執筆）．CT造影理論NEO 臨床を変えるCT造影理論 可変注入法．医学書院．2025．

論文

  • Zhao, Z., Higaki, T., Gu, Y., & Raytchev, B. (2025). The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans—A Preliminary Study. Bioengineering, 12(9), 974. https://doi.org/10.3390/bioengineering12090974
  • JiangDong Miao, Tatsuya Ikeda, Bisser Raytchev, Ryota Mizoguchi, Takenori Hiraoka, Takuji Nakashima, Keigo Shimizu, Toru Higaki and Kazufumi Kaneda, Fine-grained 3D vehicle shape manipulation via latent space editing. Machine Vision and Applications, vol. 36, no. 117, pp. 1-15, 2025. https://doi.org/10.1007/s00138-025-01739-z
  • JiangDong Miao, Bisser Raytchev, Takuji Nakashima, Takenori Hiraoka, Keigo Shimizu, Yanlei Gu, and Toru Higaki, Reference-Free Evaluation Metric for Fine-Grained 3D Shape Editing, Applied Sciences 15, no. 24: 13023, 2025. https://doi.org/10.3390/app152413023
  • Maoquan Zhang, Bisser Raytchev, Juan Cuesta, Farouk Lemmouchi, Maithili Karle and Daniel Andrade, SSAT: Sensor-Satellite Auto-Correlation Transformer for Enhanced Aerosol Optical Depth Prediction, IEEE Access, vol. 13, pp. 130832-130845, 2025. https://doi.org/10.1109/ACCESS.2025.3591479
  • Maoquan Zhang, Bisser Raytchev and Xiujuan Sun, REALM: A relevance-driven layered protocol for human–artificial intelligence collaboration in STEM education, IEEE Signal Processing Magazine, vol. 43, no. 1, pp.56-68, January 2026. https://doi.org/10.1109/MSP.2025.3599339

解説

  • 檜垣徹．2025年におけるCTのトレンドと最新動向，RadFan，23(4)，23-26，2025．
  • 檜垣徹．【第76回】少ない放射線被ばくで撮影できるCT装置の開発．ザ・ウィークリー・プレスネット，2025/8/28．
  • 檜垣徹．CTの最新動向，インナービジョン．2026; 41(2): 26-28.

国際学会

  • Kojima Y, Higaki T, Inoue H. Breath waveform measurement system using contact-less devices. In: Proceedings of the 13th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2025); 2025 Sep 4–6; Gliwice, Poland. (Best Paper Award)
  • Tamura H, Higaki T, Inoue H. Development of a noncontact electrocardiogram waveform estimation system using machine learning. In: Proceedings of the 13th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2025); 2025 Sep 4–6; Gliwice, Poland.
  • Yuka Hara, Yanlei Gu, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, “Prediction of Pedestrian Crossing Intentions Using Wearable Smart Glasses”, 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE2025), Osaka, Japan, September 23-26, 2025. (Oral Presentation Award)
  • Aina Hiratani, Yanlei Gu, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, “Pedestrian Head Orientation Estimation Using Smartphone Cameras”, 2025 IEEE 14th Global Conference on Consumer Electronics (GCCE2025), Nara, Japan, September 23-26, 2025.
  • Naoto Naka, Bisser Raytchev. Takumi Uemura, Mikimasa Kawaguchi, Kenta Kobayashi, Yoshiharu Ueki, Yoshitaka Wada, Toru Higaki, Kazufumi Kaneda, Surrogate Modeling of Refrigerant Circuits Using Machine Learning, in Proc. International Joint Conference on Neural Networks (IJCNN) 2025, pp. 1-8, 30/6/2025-5/7/2025, Rome, Italy, 2025. https://doi.org/10.1109/IJCNN64981.2025.11227965
  • M. Zhang, B. Raytchev and X. Sun, LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction, In: Taniguchi, T., et al. Neural Information Processing ICONIP 2025, Lecture Notes in Computer Science, vol 16309. pp. 123-137, Springer, Singapore, 2025. https://doi.org/10.1007/978-981-95-4367-0_9
  • M. Zhang, B. Raytchev and X. Sun, Semantic Segmentation of iPS Cells: Case Study on Model Complexity in Biomedical Imaging, 19th International Conference on Machine Vision Applications MVA2025, pp. 1-4, Kyoto, Japan, 2025. https://doi.org/10.34385/proc.93.P2-3
  • JiangDong Miao and Bisser Raytchev, Curriculum learning for 3D vehicle geometry editing, in Proc. SPIE 14072, International Workshop on Advanced Imaging Technology (IWAIT) 2026, vol. 1407207, pp. 41-44, (12–14 January 2026 Kaohsiung, Taiwan); https://doi.org/10.1117/12.3102528
  • Makoto Tsubokura, Takuji Nakashima, Keigo Shimizu, Moshun Ikeda, Bisser Raytchev, When AI Meets Engineering Design: Constraining Its Creativity for Smarter Vehicle Aerodynamics Design, 36th Parallel CFD International Conference 2025, pp. 1-4, 24-26 November 2025, Merida, Yucatan, Mexico.
  • Abdussalam Elhanashi, Sergio Saponara, Pierpaolo Dini, Qinghe Zheng, Nawal Almutairi, Ali Eshtiba, Bisser Raytchev, and Victor Parque, Intelligent video surveillance for early drowning detection using deep learning, Proc. SPIE Volume 13526, Real-time Processing of Image, Depth, and Video Information 2025, 1352607 (23 May 2025) https://doi.org/10.1117/12.3054595
  • Higaki T, Tatsugami F, Nakamura Y, Nishigaki M, Tsushima S, Awai K. Maximizing image quality through the synergy of high-resolution photon-counting detector CT and deep learning reconstruction: a coronary phantom study. RSNA2025. McCormick Place, Chicago, USA.
  • Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K. Understanding iodinated contrast media: principles, protocols, and safety in CT examinations. RSNA2025. McCormick Place, Chicago, USA
  • Higaki T, Tatsugami F, Nakamura Y, Ohana M, Awai K. Quantitative assessment of motion correction performance in coronary CT angiography. Presented at: European Congress of Radiology (ECR) 2026; Vienna, Austria.
  • Ichino M, Higaki T, Raytchev B, Gu Y, Nakamura Y. Frontal face generation from multi-view images via 3D face reconstruction. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Oral presentation.
  • Kaji K, Higaki T, Raytchev BR, Gu Y, Nakamura Y. Deep learning based image quality assessment for CT images. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Oral presentation.
  • Akase T, Higaki T, Manabe T, Matsutomo S. A GPU-based virtual CT scan system for data augmentation. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Oral presentation.
  • Waki R, Kitano T, Manabe T, Higaki T, Matsutomo S. A five-degree-of-freedom robotic arm simulator for digital twin based on forward and inverse kinematics in virtual reality environment. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Oral presentation.
  • Shimada N, Higaki T, Raytchev B, Gu Y, Fukumoto W. Reduction of aliasing in medical volume rendering for realistic visualization. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation.
  • Kitano T, Waki R, Manabe T, Higaki T, Matsutomo S. Interactive electric field cross-section visualization via VR and its real-time performance evaluation. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation.
  • Higaki T, Fukunaga A, Kageyama N, Nagira H. An audio-based anomaly detection for engine motoring tests in assembly lines. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation.
  • Zhao Z, Higaki T, Raytchev B, Gu Y, Fukumoto W. Improving aortic segmentation in CT via a classifier-guided spatial-feature 2.5D network: a preliminary validation. In: Proceedings of the 9th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2026); 2026; Poster presentation.

研究会・ワークショップ・全国大会

  • 土田駿元，ライチェフ ビセル，上村匠，川口幹祐，古艶磊，檜垣徹，強化学習を用いた冷媒回路の制御に関する研究，信学技報，vol. 125, no. 308, IBISML2025-35，pp. 88-94，2025年12月22日(月)-12月23日(火) 名古屋工業大学 (IBISML)
  • Zhicheng Zhang, Bisser Raytchev, Yanlei Gu, Ryosuke Shigenaka, Yusuke Sori, Kosei Sato, Higaki Toru, Improving Depth Estimation by Using Overlap Area Information, The 28th Meeting on Image Recognition and Understanding (MIRU2025), 2025/7/29-2025/8/1, Kyoto International Conference Center, Japan.

その他

  • 檜垣徹．AI画像診断の最前線．新病院・県民公開セミナー，2025/7/6，広島．
  • Toru Higaki. Deep Learning in Medical Imaging State-of-the-Art Applications. Japan – U.S. Joint Summer Program – Artificial Intelligence (AI) in the Future of Work and Society. 2025/8/5.
  • 檜垣徹．情報科学部における医情連携の取り組み．第3回広島大学霞連携推進セミナー，2025/8/19，広島．
  • 檜垣徹．造影シミュレーションの基礎と造影プロトコルの最適化．第144回 高速X線CT研究会，2025/11/12，オンライン．
  • 檜垣徹．CZT-based PCD-CTの現状と将来展望，第53回断層映像研究会 ランチョンセミナー1，2025/11/21，広島．
  • 檜垣徹．情報科学×医学の融合研究．フェニックスセミナー2025 AI/DX研究の最前線，2026/1/19，広島．
  • 檜垣徹．造影シミュレーションから学ぶ造影理論と臨床応用．第35回 医用画像学術講演会，2026/3/6，オンライン．