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Disambiguation of "Cho, Baek Hwan"

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Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701O. SPIE, (2013)

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Ik-hwan Cho

Seungcheol Baek

Myoungki Baek

Sohee Baek

Tore Baekken

 

Other publications of authors with the same name

Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation., , , , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 227-234. Springer, (2013)A New Approach for Personal Identification Based on dVCG., , , , and . IEICE Trans. Inf. Syst., 91-D (4): 1201-1205 (2008)The Effect of Virtual Reality Cognitive Training for Attention Enhancement., , , , , , , and . Cyberpsy., Behavior, and Soc. Networking, 5 (2): 129-137 (2002)Ultrasound breast lesion segmentation using adaptive parameters., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351E. SPIE, (2014)Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701O. SPIE, (2013)Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images., , , , , , and . EMBC, page 3650-3653. IEEE, (2013)Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique., , , , , , , , , and 3 other author(s). ICIP, page 1624-1628. IEEE, (2016)Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701Q. SPIE, (2013)Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods., , , , , and . Artif. Intell. Medicine, 42 (1): 37-53 (2008)Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural network., , , , , and . BCI, page 1-3. IEEE, (2018)