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Chair |
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Ryo Haraguchi (Univ. of Hyogo) |
Vice Chair |
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Hideaki Haneishi (Chiba Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.) |
Secretary |
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Yasushi Hirano (Yamaguchi Univ.), Yoshito Otake (NAIST) |
Assistant |
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Takeshi Hara (Gifu Univ.), Kenichi Morooka (Kumamoto Univ.) |
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Conference Date |
Wed, Mar 19, 2025 13:00 - 18:00
Thu, Mar 20, 2025 09:15 - 11:38 |
Topics |
Medical Imaging, etc. |
Conference Place |
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Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on MI. |
Due for Registration |
Please proceed the payment of registration fee by 3 days before the workshop date. The meeting URL will be sent from one of the secretaries of the committee via e-mail, just before the workshop date. |
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12:55-13:00 |
Opening Address ( 5 min. ) |
Wed, Mar 19 PM 13:00 - 14:00 |
(1) |
13:00-13:12 |
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(2) |
13:12-13:24 |
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(3) |
13:24-13:36 |
Construction of a Pseudo-3D U-Net Model with Attention Gates for Spinal Segmentation from CT Images |
Kai Yang, Masayuki Kikuchi (Tokyo Univ. of Tech.) |
(4) |
13:36-13:48 |
Anomaly Region Detection by Progressive Mask Refinement using Diffusion Models |
Hiroki Tobise (NIT), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi (Juntendo Univ.), Hidekata Hontani (NIT) |
(5) |
13:48-14:00 |
An Investigation of Labeled Data Ratio in Uncertainty-Aware Semi-Supervised Learning for Multi-Organ Segmentation |
Guotai Dong, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) |
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14:00-14:10 |
Break ( 10 min. ) |
Wed, Mar 19 PM 14:10 - 14:55 |
(6) |
14:10-14:55 |
[Invited Talk]
Radiomics research to support genomic medicine |
Yoshikazu Uchiyama (Univ. of Miyazaki) |
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14:55-15:05 |
Break ( 10 min. ) |
Wed, Mar 19 PM 15:05 - 16:23 |
(7) |
15:05-15:18 |
[Invited Lecture]
Latest Research Trends 2024: Image Segmentation and General Overview of MICCAI |
Masahiro Oda (Nagoya Univ.), Ryo Furukawa (Kindai Univ.), Kensaku Mori (Nagoya Univ.) |
(8) |
15:18-15:31 |
[Invited Lecture]
Latest Research Trends 2024: Image Registration |
Yoshito Otake, Sato Yoshinobu (NAIST) |
(9) |
15:31-15:44 |
[Invited Lecture]
Latest Research Trends 2024: Multimodal Learning in Medical Imaging |
Yi Gu, Ganping Li (NAIST) |
(10) |
15:44-15:57 |
[Invited Lecture]
Latest Research Trends 2024: Computer-Aided Therapy |
Ken'ichi Morooka (Kumamoto Univ.), Tomoko Yamaguchi (Kobe Univ.) |
(11) |
15:57-16:10 |
[Invited Lecture]
Latest Research Trends 2024: Pathological Image Analysis |
Shinnosuke Matsuo, Ryoma Bise (Kyushu Univ.) |
(12) |
16:10-16:23 |
[Invited Lecture]
Latest Research Trends 2024:Ophthalmic Image Processing |
Koichi Ito, Tsubasa Konno (Tohoku Univ.) |
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16:23-16:35 |
Quenstion and Answer ( 12 min. ) |
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16:35-16:45 |
Break ( 10 min. ) |
Wed, Mar 19 PM 16:45 - 18:00 |
(13) |
16:45-18:00 |
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(14) |
16:45-18:00 |
[Poster Presentation]
Study on Deep Learning Reconstruction of MR Images based on signal space partitioning |
Hagiwara Taiki, Ouchi Shohei (NITOC) |
(15) |
16:45-18:00 |
Performance evaluation of Image Reconstruction Models in Deep Learning-based MR Simultaneous Multi-slice Imaging |
Haruki Takeichi, Masaki Furuta, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
(16) |
16:45-18:00 |
A Study on MRI Fast T1 Mapping Using MP2RAGE
-- Comparison between the method of signal intensity function and machine learning-based methods -- |
Riko Naito, Shigehide Kuhara (Kyorin Univ.) |
(17) |
16:45-18:00 |
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(18) |
16:45-18:00 |
Automatic Reconstruction of Panoramic X-ray Images Using CT Images |
Ichi Hasegawa, Kento Morita (Mie Univ.), Junya Hirota, Daisuke Takeda, Takumi Hasegawa, Masaya Akashi (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.) |
(19) |
16:45-18:00 |
Classification and Generation Model for Pathological Image Observation Videos |
Shota Kawakami (Nagoya Univ.), Noriaki Hashimoto (RIKEN), Hiroaki Miyoshi (Kurume Univ.), Jun Sakuma (Science Tokyo), Hidekata Hontani (NITech), Koichi Ohshima (Kurume Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
(20) |
16:45-18:00 |
Two-step Prediction of MRONJ Lesion in Dental X-ray Radiograph Using Deep Learning |
Manami Inoue, Kento Morita (Mie Univ.), Yasuaki Sadakane, Takumi Hasegawa, Masaya Akashi (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.) |
(21) |
16:45-18:00 |
Dental data analysis |
Kenichi Nomura (Osaka Univ.), Sim, David Jr (UC Santa Barbara), Hideaki Hayashi, Ryota Takaoka, Hajime Nagahara, Masahiro NIshimura (Osaka Univ.) |
(22) |
16:45-18:00 |
[Short Paper]
Region-of-Interest Segmentation in DCE-MR images for TIC Analysis of Salivary Gland Tumors |
Kei Saito, Keita Takeda, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) |
(23) |
16:45-18:00 |
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(24) |
16:45-18:00 |
[Short Paper]
Feature Learning of Ultrasound Images by Sorting loss for grades
-- for diagnosis of Sjogren's syndrome -- |
Takumi Ishibashi, Tomoya Sakai, Keita Takeda, Takagi Yukinori, Misa Sumi (Nagasaki Univ.) |
(25) |
16:45-18:00 |
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(26) |
16:45-18:00 |
Quantitative Evaluation of Deep-Learning-based Motion Estimation for Colonoscopy |
Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ./Nagoya Univ.), Oda Masahiro (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO./Showa Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ./NII) |
Thu, Mar 20 AM 09:15 - 10:39 |
(27) |
09:15-09:27 |
Learning from Label Proportions for Cell Image Classification |
Momoko Imakubo (Sysmex), Hideaki Hayashi, Hajime Nagahara (Osaka Univ) |
(28) |
09:27-09:39 |
Automatic detection of contrast agent injection timing from coronary angiography images using labeling and camera motion correction |
Yuki Daijou, Ryo Haraguchi (University of Hyogo), Yuta Motani |
(29) |
09:39-09:51 |
[Short Paper]
Construction of a Pathology Image Classifier with Quantifiable Uncertainty Evaluation for Cancer Diagnosis Assistance |
Jiro Onoki, Yasuyuki Tsuchimoto, Tatsuya Yokota (NIT), Koichi Ohshima, Hiroaki Miyoshi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (RIKEN/Nagoya Univ.), Hidekata Hontani (NIT) |
(30) |
09:51-10:03 |
Indocyanine Green Fluorescence Image Analysis for Prediction of Skin Flap Necrosis with Arterial Ischemia or Venous Congestion |
Funo Suzuki, Momoka Takamiya, Shinsuke Akita, Mitsukawa Nobuyuki, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) |
(31) |
10:03-10:15 |
Do medical VLMs discover discriminative features in multi-modal medical images? |
Keita Takeda, Tomoya Sakai (Nagasaki Univ.) |
(32) |
10:15-10:27 |
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(33) |
10:27-10:39 |
Predicting patients with coronary artery stenosis using deep learning in non-contrast cardiac CT |
Tetsuya Asakawa (TUT), Kazuki Shimizu, Masashi Hashimoto, Kenji Miyaji, Kei Nomura (THC), Masaki Aono (TUT) |
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10:39-10:50 |
Break ( 11 min. ) |
Thu, Mar 20 AM 10:50 - 11:38 |
(34) |
10:50-11:02 |
Reconstruction experiments of Acquired Slice Image Data in Deep Learning-based MR Simultaneous Multi-slice Imaging |
Satoshi ITO, Naoya Endo, Kazuki Yamato (Utsunomiya Univ.) |
(35) |
11:02-11:14 |
[Short Paper]
Accelerated MRI Reconstruction by Using Diffusion Model |
Shunsuke Fukutomi, Tatsuya Yokota, Hidekata Hontani (NITech) |
(36) |
11:14-11:26 |
[Short Paper]
Generation of Counterfactual Pathology Images for Observing Changes in Cell Tissues with Cancerization in Malignant Lymphoma |
Ryoichi Koga, Tatsuya Yokota (NITech), Koichi Ohshima, Hiroaki Miyoshi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NITech) |
(37) |
11:26-11:38 |
[Short Paper]
Pial Surface based Electric field regression with Neural Networks for Transcranial Magnetic Stimulation |
Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hontani Hidekata (Nitech) |
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Closing Addres |
Announcement for Speakers |
General Talk | Each speech will have 8 minutes for presentation and 4 minutes for discussion. |
Invited Talk | Each speech will have 45 minutes for presentation. |
Invited Lecture | Each speech will have 13 minutes for presentation. |
Contact Address and Latest Schedule Information |
MI |
Technical Committee on Medical Imaging (MI) [Latest Schedule]
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Contact Address |
●● ●●(●●●●● Univ.)
E- : ●●●●●●●@●●●●.●●●●●.●●
TEL: ●●●-●●●●-●●●●
When you cannot contact us above:
Technical Committee on Medical Imaging ML: - b t  |
Last modified: 2025-01-19 23:58:37
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