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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 43 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
10:20
Online Online A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels -- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] MMS2021-1 ME2021-1 AIT2021-1
pp.1-6
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
11:10
Online Online A Note on Distress Classification of High-resolution Subway Tunnel Images based on HRNet
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2021-3 ME2021-3 AIT2021-3
pp.13-16
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:00
Online Online A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda, Hikari Shimizu (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNe... [more] MMS2021-5 ME2021-5 AIT2021-5
pp.23-26
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:25
Online Online A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images -- Improvement of Estimation Performance Based on Fine-tuning of the VQA model --
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a semantic content estimation method based on a question and answer generation model using bra... [more] MMS2021-6 ME2021-6 AIT2021-6
pp.27-31
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:50
Online Online Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] MMS2021-7 ME2021-7 AIT2021-7
pp.33-36
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
14:50
Online Online A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images -- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] MMS2021-9 ME2021-9 AIT2021-9
pp.43-46
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
15:15
Online Online A Note on Action Detection Using Feature Representation via Self-Supervised Learning based on TCC -- Effectiveness evaluation of parameters for action detection --
Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2021-10 ME2021-10 AIT2021-10
pp.47-51
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-19
14:15
Online Online [Special Talk] A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. I... [more] MMS2021-22 ME2021-22 AIT2021-22
pp.171-175
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-19
15:05
Online Online [Special Talk] A Note on Interior Coordination Retrieval Reflecting User's Preferences -- Extraction of Features Representing Coordination and Application to Real Data --
Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2021-25 ME2021-25 AIT2021-25
pp.187-191
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-19
15:20
Online Online [Special Talk] A Note on Customer's Interest Estimation Method Using Security Camera Video Data from the Real Store -- Validation of the accuracy of an anomaly detection model using features obtained from a posture estimation model --
Yuki Honma, Ren Togo, Maiku Abe, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for estimating customers’ interests using videos recorded by a security camera in a r... [more] MMS2021-26 ME2021-26 AIT2021-26
pp.193-198
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Estimation of rock compressive strength index from drilling data based on online learning
Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
It is necessary to evaluate the ground condition of the rock mass for safe and efficient tunnel construction. Currently,... [more] MMS2020-11 HI2020-11 ME2020-39 AIT2020-11
pp.57-60
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:00
Hokkaido Hokkaido Univ.
(Cancelled)
A note on retrieval of visually similar distress regions in subway tunnel images -- Introduction of deep features extracted by semantic segmentation network --
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2020-13 HI2020-13 ME2020-41 AIT2020-13
pp.65-68
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:15
Hokkaido Hokkaido Univ.
(Cancelled)
A note on detection of distress regions in subway tunnels by using U-net based network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more] MMS2020-14 HI2020-14 ME2020-42 AIT2020-14
pp.69-72
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
16:20
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we investigate a method for generation of images that represent the internal structure of rubber material... [more] MMS2020-21 HI2020-21 ME2020-49 AIT2020-21
pp.107-111
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:20
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Abnormal Motion Detection of River Users on CCTV Videos Based on Weakly Supervised Anomaly Detection Algorithm
Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we investigate abnormal motion detection of river users on Closed-Circuit Television videos (CCTV videos)... [more] MMS2020-47 HI2020-47 ME2020-75 AIT2020-47
pp.367-370
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:50
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Image Retrieval Focusing on Objects in Images -- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more] MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
09:30
Hokkaido Hokkaido Univ. A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images
Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] MMS2019-27 HI2019-27 ME2019-49 AIT2019-27
pp.265-268
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:00
Hokkaido Hokkaido Univ. A note on automatic malignant tumor candidate detection based on a 3D deep residual network with FDG-PET/CT images
Zongyao Li, Ren Togo, Takahiro Ogawa, Kenji Hirata, Osamu Manabe, Tohru Shiga, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a malignant tumor candidate detection method with FDG-PET/CT images. We design our network bas... [more] MMS2019-36 HI2019-36 ME2019-58 AIT2019-36
pp.311-314
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:15
Hokkaido Hokkaido Univ. A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:30
Hokkaido Hokkaido Univ. A Note on Generation of Gastritis Images Based on Progressive Growing GAN for Gastritis Classification
Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2019-38 HI2019-38 ME2019-60 AIT2019-38
pp.319-322
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