Shimizu Lab.

Researches on medical image analysis based on the state of the art technologies of pattern recognition, machine learning, artificial intelligence, and big data analysis.

Development of computer-aided diagnosis systems using the research results.

Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada,
Akinobu Shimizu

Level set distribution model of nested structures using logarithmic transformation


Medical Image Analysis, 56, 1-10, 2019
10.1016/j.media.2019.05.003

Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani

Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization


Medical Image Analysis, 35, 192-214, 2016
10.1016/j.media.2016.04.001

Atsushi Saito,
Shigeru Nawano and Akinobu Shimizu

Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs


Medical Image Analysis, 28, 46-65, 2016
10.1016/j.media.2015.11.003