June 4, 2024
・Mr. Forte(Ph.D Student) of Université Caen Normandie, France, and Prof. Passat of Université de Reims Champagne-Ardenne, France, gave special presentations on digital topology.
May 23, 2024
・Prof. Shimizu gave a lecture titled “Remarks on Reuse of Test Data in Post-Marketing Training” in the organized session of the 63rd annual conference of Japanese Society for Medical and Biological Engineering.
May 13, 2024
・Julien Mendes Forte, a Ph.D student at the Université Caen Normandie, France, visited our laboratory for a three-month collaborative research.
April 26, 2024
・Prof. Shimizu gave a lecture titled “Harnessing AI in the Analysis of Japan‘s National Skin Disease Database” in the symposium of Technical University of Munich.
March 3-4, 2024
・Master students presented the following researches at symposium on Medical Imaging@Okinawa
Mr. Fujimoto “Evaluation of underspecification in a hot-spot detection support system of bone scintigrams : Comparison of pre-market training and post-market re-training”
Mr. Tsuchiya “Improvement of a lesion detection support system for prostate cancer patients using 18F-PSMA 1007 PET/CT imaging “
Ms. Fujiwara “Improvement of skin disease image classification accuracy for minority classes”
Mr. Chikaarashi “Conditional statistical shape model for multiple brain regions in human embryos”
・Prof. Shimizu gave a special lecture titled “Deployment of a computer-aided diagnosis system for bone scintigrams and beyond “
February 9, 2024
A paper of detection support of lesions in a PET/CT volume appeared in the IJCARS.
Nov. 10, 2023
Six B3 students were newly assigned to the laboratory.
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.
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.