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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 3210 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMCJ, MICT
(Joint)
2024-03-15
14:15
Shimane   A Study on Use of Language Models for Clinical Engineer Support
Rumi Iwai (Kyushu Univ.), Takunori Shimazaki (Jikei Univ.), Mitsuhiro Fukuda (Nitech Univ.), Takanao Mine (Hyogo Medical Univ.), Shingo Ata (Osaka Metropolitan Univ.), Takeshi Yokoyama (Kyushu Univ.), Daisuke Anzai (Nitech Univ.) MICT2023-80
 [more] MICT2023-80
pp.17-19
COMP 2024-03-14
15:15
Tokyo The University of Electro-Communications A proof of recurrence of a random walk on a growing network by a coupling technique
Shuma Kumamoto (Kyushu U), Shuji Kijima (Shiga U), Tomoyuki Shirai (Kyushu U) COMP2023-33
 [more] COMP2023-33
pp.31-33
KBSE 2024-03-15
13:45
Okinawa Okinawa Prefectual General Welfare Center
(Primary: On-site, Secondary: Online)
An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Yuto Nakamura, Yuta Ishimoto (Kyushu Univ.), Ryota Katsube, Naoto Sato, Hideto Ogawa (Hitachi), Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) KBSE2023-88
(To be available after the conference date) [more] KBSE2023-88
pp.126-131
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) Research Directions in Formal Verification of Transport Layer Security Protocols
Hideki Sakurada (NTT/Kyushu Univ.), Kouichi Sakurai (Kyushu Univ./ATR) IT2023-121 ISEC2023-120 WBS2023-109 RCC2023-103
The TLS protocol is used to secure communications between web servers and clients, and is essential for security: it all... [more] IT2023-121 ISEC2023-120 WBS2023-109 RCC2023-103
pp.287-293
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) Construction of an MDL Estimator with Tight Risk Bound in Simple ReLU Networks
Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116
We consider the problem of estimating the parameters of the final layer in two-layer neural networks with ReLU activatio... [more] IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116
pp.368-373
NC, MBE
(Joint)
2024-03-12
10:50
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Data Description Formats for Efficient Reverse Engineering of Brain Computational Functions
Hiroshi Yamakawa, Yoshimasa Tawatsuji (Tokyo Univ.), Tatsuya Miyamoto (Waseda Univ.), Naoya Arakawa, Yuta Ashihara, Ayako Fukawa (WBAI), Koichi Takahashi (RIKEN), Yutaka Matsuo (Tokyo Univ.) NC2023-52
In the current situation where neuroscience knowledge is still insufficient, a bidirectional design that integrates both... [more] NC2023-52
pp.53-58
SC 2024-03-08
14:00
Tokyo NII
(Primary: On-site, Secondary: Online)
Design and evaluation of support system for judging authenticity of Web information using metadata
Ryo Miyamoto, Kazuaki Nimura (Fujitsu), Yoichi Takahashi (Tohoku Univ.), Kentaro Inui (MBZUAI/Tohoku Univ./RIKEN) SC2023-36
Recently, uncertain information such as false information and fake news has increased on the Web, and some users cannot ... [more] SC2023-36
pp.13-18
SS 2024-03-09
11:00
Okinawa
(Primary: On-site, Secondary: Online)
Exploring the characteristics of GPT-3.5 modifications for compile errors in university programming education
Kaito Utsunomiya, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2023-79
(To be available after the conference date) [more] SS2023-79
pp.180-185
MI 2024-03-03
09:05
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models
Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-30
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] MI2023-30
pp.1-2
MI 2024-03-03
09:17
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Valid p-value for critical instances in multiple instance learning
Noriaki Hashimoto (RIKEN), Daiki Miwa (Nitech), Kosei Sumida (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi (Kurume Univ.), Jun Sakuma (Tokyo Tech/RIKEN), Hidekata Hontani (Nitech), Koichi Ohshima (Kurume Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) MI2023-31
(To be available after the conference date) [more] MI2023-31
pp.3-6
PRMU, IBISML, IPSJ-CVIM 2024-03-03
15:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
The Generalized Denoising Autoencoder with Tweedie's Formula
Yuta Aishima (NAIST), Sho Sonoda (RIKEN), Noboru Isobe (Tokyo Univ.), Kazushi Ikeda (NAIST) IBISML2023-40
Denoising autoencoders learn the score of the data-generating distribution, i.e., $nabla log p(x)$. However, theoretical... [more] IBISML2023-40
pp.1-5
PRMU, IBISML, IPSJ-CVIM 2024-03-03
15:12
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Multi-class Multi-instance Learning
Kaito Shiku, Kazuya Nishimura (Kyushu Univ.), Daiki Suehiro (YCU), Ryoma Bise (Kyushu Univ.) PRMU2023-61
(To be available after the conference date) [more] PRMU2023-61
pp.59-63
MI 2024-03-03
14:20
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Invited Lecture] Latest Research Trends 2023: Pathological Image Analysis
Ryoma Bise (Kyushu Univ.) MI2023-47
This paper provides an overview of particularly interesting research on pathological image analysis presented at the mai... [more] MI2023-47
pp.50-52
PRMU, IBISML, IPSJ-CVIM 2024-03-03
16:30
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Assessment of the Utility of Tumor Location Information in MR Image Classification
Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] IBISML2023-43
pp.21-28
MI 2024-03-03
16:42
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Using Label Uncertainty for Learning Cell Nuclei Type Classifier with Strongly Noisy Supervised Signals
Shingo Koide, Mauricio Kugler, Tatsuya Yokota (NIT), Koichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-57
In this study, we construct a type classifier for cell nuclei of malignant lymphomas. Labelling by type is not easy, eve... [more] MI2023-57
pp.79-80
MI 2024-03-03
16:54
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Domain generalization with WSI feature
Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakazima (Kyoto Univ.), Akihiko Yoshizawa (Nara Medical Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) MI2023-58
In this study, we propose a domain generalization method for pathological images (WSI). Domain shifts in pathological im... [more] MI2023-58
pp.81-84
PRMU, IBISML, IPSJ-CVIM 2024-03-04
10:40
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Letter image generation
Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida (Kyushu Univ.) PRMU2023-70
(To be available after the conference date) [more] PRMU2023-70
pp.110-115
MI 2024-03-04
09:12
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Reflection noise estimation in photoacoustic image
Takehiro Yamane (Kyushu Univ.), Syota Harada (Hiroshima City Univ.), Itaru Tsuge, Susumu Saito (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) MI2023-63
In this study, we estimate the reflection noise present in three-dimensional photoacoustic images.
In photoacoustic ima... [more]
MI2023-63
pp.99-102
MI 2024-03-04
10:22
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs
Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] MI2023-68
pp.117-118
MI 2024-03-04
11:10
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Identification of follicle segmentation and subtype in a lymph node HE-stained image based on the set of cell nuclei
Mizuki Moribe, Tatsuya Yokota (NIT), Koichi Oshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2023-72
In this paper, we report on a method for follicle segmentation and the identification of malignant lymphoma subtypes usi... [more] MI2023-72
pp.131-132
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