Shimizu Laboratory

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

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Recent posts

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on November 10, 2023

Nov. 10, 2023
Six B3 students were newly assigned to the laboratory.

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on October 13, 2023

Oct 13, 2023
Mr. Yamanaka(M1) won a Young Researcher Award of JAMIT@Osaka.
Mr. Wakao(M1) won a Young Researcher Award of JAMIT@Osaka.

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on September 13, 2023

September 13-14, 2023
Quynh Anh Nguyen (M2) gave a talk about medical image analysis of bone scintigram at the seminer of ESIEE Paris - Université Gustave Eiffelat in Paris, France.
Prof. Shimizu gave a talk about computational anatomy models using digital topology at the seminer of CNRS in Cern, France.

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on September 9, 2023

September9-10, 2023
・Master students presented the following researches at JSAS@Kobe
Mr. Zhong “Sacrum and ilium segmentation of MR images for diagnosis support of axial spondyloarthritis”
Mr. Ogura “Bone erosion detection in a diagnostic support system for axial spondyloarthritis with MRI using deep learning”
・MR. Ogura was awarded JSAS@Kobe’s JSAS dragon award.

Previous posts

To Applicants

Medical image analysis laboratory has collaborated with many universities, public research institutions, and companies. In 2019, we have collaborated with universities (the University of Tokyo etc.), two public institutions (RIKEN etc.), overseas universities (ESIEE Paris(France) etc.) and research institutions (Children’s National Health System(USA)), and other domestic companies. Knowledge of programming languages, AI, mathematics (linear algebra, mathematical analysis, statistical mathematics), signal processing is required to conduct the researches in our lab. If you are interested in medical image analysis and/or collaboration with our research partners, please visit our laboratory.