Order Article Reprints

Dozen A, Komatsu M, Sakai A, Komatsu R, Shozu K, Machino H, Yasutomi S, Arakaki T, Asada K, Kaneko S, et al. Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information. Biomolecules. 2020; 10(11):1526. https://doi.org/10.3390/biom10111526

Dozen, Ai, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Kanto Shozu, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, and et al. 2020. "Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information" Biomolecules 10, no. 11: 1526. https://doi.org/10.3390/biom10111526

Dozen, A., Komatsu, M., Sakai, A., Komatsu, R., Shozu, K., Machino, H., Yasutomi, S., Arakaki, T., Asada, K., Kaneko, S., Matsuoka, R., Aoki, D., Sekizawa, A., & Hamamoto, R. (2020). Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information. Biomolecules, 10(11), 1526. https://doi.org/10.3390/biom10111526