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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 61  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ 2022-12-16
Chiba Nishi-Chiba Campus, Chiba Univ. Development of a Breast Cancer Surgery Support System with Stable MRI Image Superimposition by Colorization of Fiducial Markers
Mizuki Hattori, Takaya Oguchi, Hiroshi Fujimoto (Chiba Univ.), Yoshihiro Kuroda (Univ. of Tsukuba), Katsuhiro Nasu, Yukihiro Nomura, Hideki Hayashi, Toshiya Nakaguchi (Chiba Univ.) IMQ2022-16
Magnetic Resonance Imaging (MRI) is used to determine the extent of resection in breast cancer surgery, but tumor resect... [more] IMQ2022-16
IMQ 2022-12-16
Chiba Nishi-Chiba Campus, Chiba Univ. A Study of Correction Method for Calculation Error of Auscultation Position in Augmented Reality Type Auscultation Training Simulator
Yoshito Mikado, keiichiro miura, Hajime Kasai, Shoichi Ito, Asahina Mayumi, Masahiro Tanabe, Yukihiro Nomura, Toshiya Nakaguchi (Chiba Univ.) IMQ2022-17
Current auscultation training for healthcare professionals is conducted using a simulated patient and a mannequin for au... [more] IMQ2022-17
MI 2022-09-15
(Primary: On-site, Secondary: Online)
MI2022-60 (To be available after the conference date) [more] MI2022-60
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] ITS2021-34 IE2021-43
MI 2022-01-26
Online Online Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] MI2021-59
MI 2021-03-15
Online Online Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images
Hiroki Kimura, Kumiko Arai, Nozomi Takahashi (Chiba Univ), Yuichiro Yoshimura (Toyama Univ), Takaaki Nakada, Toshiya Nakaguchi (Chiba Univ) MI2020-48
(To be available after the conference date) [more] MI2020-48
MI 2021-03-16
Online Online Respiratory rate estimation based on respiratory region selection method using thermography
Yudai Takahashi, Gu Yi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) MI2020-75
 [more] MI2020-75
MI 2021-03-16
Online Online Respiratory rate estimation based on inter-frame change classification of camera images by deep learning
Gu Yi, Yudai Takahashi, Ryuzo Abe, Taka-aki Nakada, Toshiya Nakaguchi (Chiba Univ.) MI2020-76
 [more] MI2020-76
MI 2021-03-17
Online Online Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] MI2020-91
(Joint) [detail]
Online Online Examination of voice input and treatment detection by video analysis for endoscopic findings creation support
Chihiro Takigami, Mai Fujie (Chiba Univ.), Yuichiro Yoshimura (Toyama Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-12 IE2020-52 MVE2020-44
Currently, endoscopy findings are mainly recorded by manual entry after the examination, which is burdensome due to the ... [more] IMQ2020-12 IE2020-52 MVE2020-44
MICT, MI 2020-11-04
Online Online [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] MICT2020-19 MI2020-45
IMQ 2020-10-02
Online Online Research and development of image interpretation platform of Trauma CT Image for supervised learning.
Yasuo Yamao, Toshiya Nakaguchi, Taka-aki Nakada (Chiba Univ.) IMQ2020-5
For the development of an AI for the diagnosis of CT trauma images, the supervised data read by a radiologist is necessa... [more] IMQ2020-5
IMQ 2020-10-02
Online Online Development of software simulator for display design of 3D volumetric display
Du Leran (Chiba Univ.), Ryutaro Okamoto (Teidec), Shinsuke Akita, Yuichiro Yoshimura, Toshiya Nakaguchi (Chiba Univ.) IMQ2020-6
Intuitive understanding of the human body structure in three dimensions is important for diagnosis, treatment, informed ... [more] IMQ2020-6
IMQ, HIP 2020-08-21
Online Online Traumatic Bleeding Detection from Contrast-Enhanced CT Based on 3D CNN Networks
Lei Yang, Tingxiao Yang, Hiroki Kimura, Yuichiro Yoshimura, Kumiko Arai, Taka-aki Nakada (Chiba Univ.), Huiqin Jiang (Zhengzhou Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-3 HIP2020-23
 [more] IMQ2020-3 HIP2020-23
(Joint) [detail]
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning
Takahiro Dozono, Yuichiro Yoshimura, Kumiko Arai, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-33 IE2019-115 MVE2019-54
Portable radiographs are used to monitor critically ill patients in intensive care units who have difficulty moving. How... [more] IMQ2019-33 IE2019-115 MVE2019-54
(Joint) [detail]
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more]
IMQ 2019-12-20
Tokyo   Volumetric Display Using Transparent Inorganic EL Panels
Jiadi Yao, Toshiya Nakaguchi, Leran Du, Tingxiao Yang, Yuichiro Yoshimura (Chiba Uni.), Ryutato Okamoto (Teidec) IMQ2019-12
 [more] IMQ2019-12
IMQ 2019-10-04
Osaka Osaka University Tongue detection from facial photographs using deep learning
Qichao Tang, Tingxiao Yang, Yuichiro Yoshimura, Takao Namiki, Toshiya Nakaguchi (Chiba Univ.) IMQ2019-7
The tongue, also known as the mirror of whole body, reflects state of whole body and presents various changes. In the fu... [more] IMQ2019-7
IMQ 2019-10-04
Osaka Osaka University Supporting Colonoscope System for Diagnosis of Depth of Invasion Using Deep Learning and Its Visualization
Nao Ito, Toshiya Nakaguchi (Chiba Univ.), Hiroshi Kawahira (Jichi Medical Univ.), Yuichiro Yoshimura (Chiba Univ.), Hirotaka Nakashima (Kayabacho Clinic), Masaya Uesato, Gaku Ohira, Hideaki Miyauchi, Hisahiro Matsubara (Chiba Univ.) IMQ2019-8
Colorectal cancer has a high morbidity and is the second most common cancer death in Japan, and is required to be detect... [more] IMQ2019-8
 Results 1 - 20 of 61  /  [Next]  
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