February 24, 2026
・An article “Performance Bias Due to Test Data Reuse in Post-market Retraining of a Bone Scintigram Diagnostic Support System and Its Bias Correction”, was published in Advanced Biomedical Engineering.
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.
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Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada,
Akinobu Shimizu
Level set distribution model of nested structures using logarithmic transformation
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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
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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
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Recent posts
December 1, 2025
Iwasaki (B4) presented her research at annual meeting of Japanese Society of Equine Science.
-Rio Iwasaki : AI-Assisted Image Diagnosis in Equine Repository Examination -AI Image Analysis-
November 17, 2025
・An international joint research paper titled “Consistent Connected Operators Based on Trees of Shapes“by Normandie University, University of Caen Normandie, ENSICAEN, CNRS, GREYC, University of Reims Champagne-Ardenne, and TUAT has been published in the SIAM Journal on Imaging Sciences.
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