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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Online |
online |
A note on multi-source model adaptation for semantic segmentation
-- Improving adaptation performance by learning model-invariant representation from multiple source models --
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2022-7 ME2022-32 AIT2022-7
pp.37-41 |
| 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 |
| 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 |
| 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 |
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