専門ゼミでは，学生が自分の研究分野における最新の英語論文を読み，日本語で発表します． 聴講者は1質問がDutyです.

画像処理ゼミでは画像処理の基本を輪講形式で学びます.修士1年生が進行を務め,学部4年生が発表します. 参加者全員がすべて理解できるまでディスカッションしながら進めますので1人の発表は1～2時間となります.

中口研の各ゼミは公開型ですので，どなたでも参加できます． 参加ご希望の方は中口までご連絡ください．

開催場所:Zoom meeting

1. 2024/10/3（木）10:00開始
   M2 服部
   Christopher O. Lew, Majid Harouni, et al. : A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI , Scientific Reports 14, Vol. 5383, 2024, Impact Factor 3.8(2023)
2. 2024/10/10（木）10:00開始
   M2 三角
   P. K. Anasosalu Vasu, J. Gabriel, J. Zhu, O. Tuzel and A. Ranjan : FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization , 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, pp. 5762-5772, 2023
3. 2024/10/17（木）10:00開始
   M2 森下
   Kup-Sze Choi : Virtual reality simulation for learning wound dressing: Acceptance and usability , Clinical Simulation in Nursing, vol. 68, pp. 49-57, Nov. 2022, Impact factor: 3.4(2023)
4. 2024/10/14（木）10:00開始
   B4 根本
   J. Choi, K. -T. Oh, O. Kwon, J. H. Kwon, J. Kim and S. K. Yoo : Non-Contact Respiration Rate Measurement From Thermal Images Using Multi-Resolution Window and Phase-Sensitive Processing , in IEEE Access, vol. 11, pp. 112706-112718, 2023, Impact Factor: 3.4(2023)
5. 2024/10/31（木）10:00開始
   B4 大瀧
   Zheng, Q., Yang, R., Ni, X. et al. : Development and validation of a deep learning-based laparoscopic system for improving video quality , Int J CARS 18, pp. 257-268, 2023, Impact Factor: 2.3(2023)
6. 2024/11/6（水）14:30開始
   B4 金子
   Qiqi He, Qiuju Yang, Hang Su, Yixuan Wang : Multi-task learning for segmentation and classification of breast tumors from ultrasound images , Computers in Biology and Medicine, vol. 173, 2024, Impact Factor: 7.0(2024)
7. 2024/11/13（水）14:30開始
   B4 安藤
   Zhou, J., Li, G., Shi, F. et al. : EM-Gaze: eye context correlation and metric learning for gaze estimation , Visual Computing for Industry, Biomedicine, and Art 6, 8, 2023, Impact Factor: 3.2(2023)
8. 2024/11/21（木）10:00開始
   M1 宮沢
   Takumi Nagasawa,Kazuki Iwata,Raquel Pantojo de Souza Bachour,Keiko Ogawa-Ochiai,Norimichi Tsumura,George C. Cardoso : Quantitative Capillary Refill Time with image-based finger force estimation , Medical Engineering & Physics, Vol 127, May. 2024, Impact Factor: 1.7(2023)
9. 2024/11/28（木）10:00開始
   M1 田中
   Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng : Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition , Medical Image Analysis, vol 73, October. 2021, Impact Factor: 10.7(2023)
10. 2024/12/6（金）10:00開始
    M1 鈴木
    Tao Jiang, Zhou Lu, Xiaojuan Hu, Lingzhi Zeng, Xuxiang Ma, Jingbin Huang, Ji Cui, Liping Tu, Changle Zhou, Xinghua Yao, Jiatuo Xu : Deep Learning Multi-label Tongue Image Analysis and Its Application in a Population Undergoing Routine Medical Checkup , Evidence-based complementary and alternative medicine, pp. 12, 2022, Impact Factor: 2.064(2021)
11. 2024/12/12（木）10:00開始
    M1 Diego
    TTanzi, L., Piazzolla, P., Porpiglia, F., & Vezzetti, E : Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance , International Journal of Computer Assisted Radiology and Surgery, vol. 16, pp. 1435-1445, 2021, Impact Factor: 2.3(2023)
12. 2024/12/19（木）10:00開始
    M1 王
    Lin, Ching-Kai, et al. : TransEBUS: The interpretation of endobronchial ultrasound image using hybrid transformer for differentiating malignant and benign mediastinal lesions. , Journal of the Formosan Medical Association, 2024, Impact Factor: 2.6(2024)