Follow
Suguru Yasutomi
Title
Cited by
Cited by
Year
Detection of cardiac structural abnormalities in fetal ultrasound videos using deep learning
M Komatsu, A Sakai, R Komatsu, R Matsuoka, S Yasutomi, K Shozu, ...
Applied Sciences 11 (1), 371, 2021
812021
Image segmentation of the ventricular septum in fetal cardiac ultrasound videos based on deep learning using time-series information
A Dozen, M Komatsu, A Sakai, R Komatsu, K Shozu, H Machino, ...
Biomolecules 10 (11), 1526, 2020
592020
Towards clinical application of artificial intelligence in ultrasound imaging
M Komatsu, A Sakai, A Dozen, K Shozu, S Yasutomi, H Machino, K Asada, ...
Biomedicines 9 (7), 720, 2021
572021
Model-agnostic method for thoracic wall segmentation in fetal ultrasound videos
K Shozu, M Komatsu, A Sakai, R Komatsu, A Dozen, H Machino, ...
Biomolecules 10 (12), 1691, 2020
342020
Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
A Sakai, M Komatsu, R Komatsu, R Matsuoka, S Yasutomi, A Dozen, ...
Biomedicines 10 (3), 551, 2022
272022
Shadow estimation for ultrasound images using auto-encoding structures and synthetic shadows
S Yasutomi, T Arakaki, R Matsuoka, A Sakai, R Komatsu, K Shozu, ...
Applied Sciences 11 (3), 1127, 2021
262021
OP15. 04: Novel AI‐guided ultrasound screening system for fetal heart can demonstrate findings in timeline diagram.
R Komatsu, R Matsuoka, T Arakaki, M Tokunaka, M Komatsu, A Sakai, ...
Ultrasound in Obstetrics & Gynecology 54, 2019
132019
Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows
S Yasutomi, T Arakaki, R Hamamoto
arXiv preprint arXiv:1908.01439, 2019
122019
P08. 01: A novel deep learning based system for fetal cardiac screening
R Matsuoka, M Komatsu, A Sakai, S Yasutomi, T Arakaki, M Tokunaka, ...
Ultrasound in Obstetrics & Gynecology 54, 177-178, 2019
112019
Automated endocardial border detection and left ventricular functional assessment in echocardiography using deep learning
S Ono, M Komatsu, A Sakai, H Arima, M Ochida, R Aoyama, S Yasutomi, ...
Biomedicines 10 (5), 1082, 2022
102022
Computer-readable recording medium, training method, and object detection device
S Yasutomi, T Endoh, T Katoh, K Uemura
US Patent 10,803,357, 2020
72020
Learning device, learning method, and recording medium
S Yasutomi
US Patent 11,100,678, 2021
52021
Recording medium with machine learning program recorded therein, machine learning method, and information processing apparatus
S Yasutomi, T Katoh, K Uemura
US Patent App. 16/364,583, 2019
52019
Parameter estimation for von mises-fisher mixture model via Gaussian distribution
S Yasutomi, T Tanaka
Signal and Information Processing Association Annual Summit and Conference …, 2014
52014
Selective forgetting of deep networks at a finer level than samples
T Hayase, S Yasutomi, T Katoh
arXiv preprint arXiv:2012.11849, 2020
42020
Learning apparatus, learning method, and recording medium
S Yasutomi, K Uemura, T Katoh
US Patent 11,494,696, 2022
22022
Deterioration suppression program, deterioration suppression method, and non-transitory computer-readable storage medium
T Katoh, K Uemura, S Yasutomi, T Hayase, Y Umeda
US Patent App. 17/727,915, 2022
22022
Machine learning method and machine learning device
S Yasutomi, T Katoh, K Uemura
US Patent App. 16/921,944, 2021
22021
Computer-readable recording medium, learning method, and learning device
T Katoh, K Uemura, T Endoh, S Yasutomi
US Patent App. 16/295,850, 2019
22019
OP05. 08: Automated evaluation of pulmonary venous drainage into the left atrium in the second trimester ultrasound screening of the fetal heart.
R Komatsu, R Matsuoka, R Aoyama, A Sakai, S Ono, T Arakaki, ...
Ultrasound in Obstetrics & Gynecology 60, 2022
12022
The system can't perform the operation now. Try again later.
Articles 1–20