September 11, 2022
Mr. Kojima (M1) presented “Deep learning based computer-aided diagnosis of axial spondyloarthritis using MRI image” at the 32nd annual meeting of the Japan spondyloarthritis society@Kagoshima
July 29-31, 2022
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Mr. Chikaarashi (M1) presented “Statistical shape model of multiple neighboring organs of embryonic human brains” at JAMIT@Nagoya.
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Mr. Fujimoto (M1) presented “Post-market training of a hot-spot detection system of malignant tumor in a bone scintigram” at JAMIT@Nagoya.
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Prof. Shimizu was awarded a distinguished service award of JAMIT.
June 10, 2022
Two French researchers (Dr.Quentrec, Dr. Kenmochi) visited our lab. and a digital topology seminor was held.
- Etienne Le Quentrec Locally Turn-Bounded Curves and Digital Topology
- Yukiko Kenmochi Pixelwise shape deformations preserving digital convexity
June 8, 2022
Prof. Shimizu presented a computational anatomy model of a human embryo at DTMM4MIA workshop in conjunction with CARS2022@Toranomon Hills (Tokyo).
June 7, 2022
Mr. Samarth Bhardwaj (M2) presented a novel super-resolution technique at CARS2022@Toranomon Hills (Tokyo).
Jan 26-27, 2022
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Mr. Tanabe (M2) presented “Statistical shape model of embryonic human brains using admissible SDF variation” at IEICE-MI@online
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Mr. Masuko(M2) presented “Statistical intensity model of vessels in a thoracic CT volume using flow-based generative network” at IEICE-MI@online
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Mr. Haruishi (M2) presented “Lung and pleural effusion segmentation of a thoracic CT volume” at IEICE-MI@online
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Mr. Tanaka (M2) presented “Deep learning based large scale skin disease classification” at IEICE-MI@online
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Mr. Hara(M2) presented “Effectiveness of whole image processing in hot-spot detection” at IEICE-MI@online
November 9, 2021
A paper of collaboration research with RIKEN appeared in the Cell Reports.
October 13-15, 2021
Mr. Kawasaki (M1) and Ms. Shimada (M1), Mr. Takateyama (M1) presented at JAMIT @hybrid (online and local)
October 2, 2021
Prof. Shimizu gave a presentation entitled “Computer-aided diagnosis (CAD) in post-deep learning era” at the 80th annual meeting of the Japanese Cancer Association.
