Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] |
2022-05-19 10:40 |
Kumamoto |
Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
N-white balancing: white balance adjustment for adjusting multi-illuminant scenes Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 |
This paper presents a novel white balance adjustment for multi-illuminant scenes, called ``N-white balancing.'' N is the... [more] |
SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 pp.25-30 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online |
Online (Zoom) |
Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] |
IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
EMM |
2022-03-07 14:45 |
Online |
(Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A Melody Generation Method based on An Image Representation of Monophonic Melodies as Rectangle Sequences and Image Inpainting. Yudai Ono, Hirohisa Hioki (Kyoto Univ.) EMM2021-98 |
We propose a method for generating monophonic melodies that are similar to those in a music dataset. Our method takes a ... [more] |
EMM2021-98 pp.34-39 |
SIS |
2022-03-03 13:50 |
Online |
Online |
A Proposal of Night Vision Algorithm on Equ-Hue Plane in RGB Color Space Mashiho Mukaida (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Eiji Uchino, Noriaki Suetake (Yamaguchi Univ.) SIS2021-34 |
Images taken under low-light conditions such as at night or in a dark rooms are dark and have low visibility. Recently, ... [more] |
SIS2021-34 pp.20-25 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 15:50 |
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 pp.55-60 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 16:45 |
Online |
Online |
A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] |
|
EST |
2022-01-28 11:00 |
Online |
Online |
Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images Shusuke Kato, Hiroyasu Usami, Akihiko Okazaki, Yuji Iwahori (Chubu Univ.), Ogasawara Naotaka, Kunio Kasugai (Aichi Medical Univ.) EST2021-83 |
In recent years, the incidence of colorectal cancer in Japan has been on the rise. It is essential to realize a medical ... [more] |
EST2021-83 pp.130-135 |
EST |
2022-01-28 14:50 |
Online |
Online |
Prediction of melting process of inorganic compounds in wood using Seq2Seq Kazunori Asahi, Hiroyasu Usami, Akihiko Okazaki, Yoshihiko Ninomiya (chubu Univ.) EST2021-91 |
In recent years, the importance of carbon neutrality has been increasing, and biomass gasification power generation faci... [more] |
EST2021-91 pp.169-172 |
MI |
2022-01-26 10:13 |
Online |
Online |
[Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] |
MI2021-53 pp.41-42 |
MI |
2022-01-26 14:05 |
Online |
Online |
[Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] |
MI2021-64 pp.82-85 |
MI |
2022-01-27 13:41 |
Online |
Online |
Immunohistochemical Reaction Image Analysis of Endometrial Carcinoma of the Uterine Corpus Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima (Shinshu Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-77 |
Immunohistochemistry (IHC) is a visualization method aiming at discovering a certain protein and has been widely adopted... [more] |
MI2021-77 pp.141-143 |
MI |
2022-01-27 13:54 |
Online |
Online |
[Short Paper]
Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78 |
We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] |
MI2021-78 pp.144-145 |
MI, MICT [detail] |
2021-11-05 10:45 |
Online |
Online |
[Short Paper]
A Method for Extracting and Visualizing Calcified Areas from Coronary OCT Images. Ryo Oikawa, Toru Kato, Akio Doi (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MICT2021-32 MI2021-30 |
Optical coherence tomography (OCT) has been widely used to diagnose calcified areas in coronary arteries in the last dec... [more] |
MICT2021-32 MI2021-30 pp.22-25 |
MI, MICT [detail] |
2021-11-05 11:05 |
Online |
Online |
[Short Paper]
Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31 |
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] |
MICT2021-33 MI2021-31 pp.26-27 |
IMQ |
2021-10-22 14:10 |
Osaka |
Osaka Univ. |
Image translation from optical image with embedded crystallographic orientation information to photoluminescence image by conditional GAN
-- a study of selection of optical images -- Hiroaki Kudo, Takuto Kojima (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Tetsuya Matsumoto, Noritaka Usami (Nagoya Univ.) IMQ2021-8 |
We can observe changes of reflected lights depend on a crystallographic orientation of each grain in a multicrystalline ... [more] |
IMQ2021-8 pp.8-11 |
IA |
2021-09-08 13:00 |
Online |
Online |
Development and Evaluation of an Abnormal Condition Detection System during Snow Removal Operations based on Behavioral Sensing of Operators Kenya Sugimoto, Hiroshi Yamamoto (Ritsumeikan Univ.), Yoshinori Kitatsuji (KDDI Research, Inc.) IA2021-19 |
Snow removal operations by snowplows in Japan's snowy and cold regions play an important role for securing social activi... [more] |
IA2021-19 pp.29-35 |
MI |
2021-07-08 14:30 |
Online |
Online |
Extraction of Calcified Regions from OCT Images Using Deep Learning Ryo Oikawa, Toru Kato, Akio Doi, Basabi Chakraborty (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MI2021-12 |
Stenosis or occlusion of coronary arteries leads to angina attacks and myocardial infarctions, and coronary artery disea... [more] |
MI2021-12 pp.15-19 |
MI |
2021-07-09 11:00 |
Online |
Online |
[Short Paper]
Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT) MI2021-16 |
In pathological diagnosis of malignant lymphoma, a HE image is observed at first and then a set of immunostained images ... [more] |
MI2021-16 pp.31-32 |
IMQ |
2021-05-28 09:40 |
Online |
Online |
Self-supervised representation learning with grayscale images Yuichiro Sumi, Takuto Kojima (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Tetsuya Matsumoto, Hiroaki Kudo (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Noritaka Usami (Nagoya Univ.) IMQ2021-1 |
Multicrystalline silicon solar cells, which are most commonly used in residential photovoltaic systems, include regions ... [more] |
IMQ2021-1 pp.1-4 |
EMM, IT |
2021-05-21 14:25 |
Online |
Online |
A reversible data hiding method with high flexibility in compressive encrypted images Ryota Motomura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-14 EMM2021-14 |
In this paper, we propose a reversible data hiding method in encrypted images, where both the com-pression efficiency an... [more] |
IT2021-14 EMM2021-14 pp.78-83 |