Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation. - Chenglong Wang; Masahiro Oda 001; Yuichiro Hayashi; Yasushi Yoshino; Tokunori Yamamoto; Alejandro F. Frangi; Kensaku Mori (MICCAI (3), 2016)

Precise renal artery segmentation for estimation of renal vascular dominant regions. - Chenglong Wang; Mitsuru Kagajo; Yoshihiko Nakamura; Masahiro Oda 001; Yasushi Yoshino; Tokunori Yamamoto; Kensaku Mori (Image Processing, 2016)

Fine segmentation of tiny blood vessel based on fully-connected conditional random field. - Chenglong Wang; Masahiro Oda 001; Yasushi Yoshino; Tokunori Yamamoto; Kensaku Mori (Image Processing, 2018)

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams. - Chenglong Wang; Holger R. Roth; Takayuki Kitasaka; Masahiro Oda 001; Yuichiro Hayashi; Yasushi Yoshino; Tokunori Yamamoto; Naoto Sassa; Momokazu Goto; Kensaku Mori (Comput. Medical Imaging Graph., 2019)

Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation. - Chenglong Wang; Masahiro Oda 001; Yuichiro Hayashi; Yasushi Yoshino; Tokunori Yamamoto; Alejandro F. Frangi; Kensaku Mori (Medical Image Anal., 2020)