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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-14
Misc. Kikai-Shinko-Kaikan Bldg. Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM
Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] MSS2023-86 NLP2023-138
NLP, MSS 2024-03-14
Misc. Kikai-Shinko-Kaikan Bldg. Fake Image Detection Focused on Local Regions
Takumi Owada, Kenya Jinno (Tokyo City Univ.) MSS2023-88 NLP2023-140
We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] MSS2023-88 NLP2023-140
MI, MICT 2023-11-14
Fukuoka   Brain Disease Classification Based on Brain MRI Images Using 3D-CNN
Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] MICT2023-29 MI2023-22
MI 2023-05-18
Aichi Nagoya Congress Center Grad-CAM approach for Multiclass Magnetic Resonance Imaging Tumor detection and Classification
Tahir Hussain, Shouno Hayaru (UEC) MI2023-4
The growth of abnormal cells in the human brain causes brain tumors (BT). Early diagnosis becomes essential for timely t... [more] MI2023-4
HIP 2022-10-18
Kyoto Kyoto Terrsa
(Primary: On-site, Secondary: Online)
Examination of facial attractiveness features using geometric morphological analysis of and deep learning methods.
Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2022-52
In psychology, various studies have been conducted on the features that constitute facial attractiveness. In recent year... [more] HIP2022-52
AI 2022-09-15
(Primary: On-site, Secondary: Online)
Comparison of results for different datasets of facial attractiveness features extracted using gradient-weighted class activation mapping
Takanori Sano (Keio Univ.) AI2022-24
In recent years, research using deep learning to analyze faces to identify the features that make up facial attractivene... [more] AI2022-24
CCS, NLP 2022-06-09
(Primary: On-site, Secondary: Online)
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data
Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] NLP2022-10 CCS2022-10
(Joint) [detail]
Online Online (Zoom) Automatic flood estimation using aerial images by CNN
Soichiro Yanagihara, Tomoki Honma, Yuukou Horita (Univ.of Toyama) IMQ2021-40 IE2021-102 MVE2021-69
When a wide-area disaster occurs, from the viewpoint of initial response, it is becoming more important to quickly grasp... [more] IMQ2021-40 IE2021-102 MVE2021-69
MI 2022-01-26
Online Online Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection
Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-63
We propose new visual explanation methods for a trained object detector toward precise automated polyp localisation. Sev... [more] MI2021-63
MI 2022-01-27
Online Online [Short Paper] utomatic Extraction of Regions of Vascular Lesions Including Diffuse Lesions in MR Images Using Weakly Supervised Deep Learning
Koki Fukaya, Takeshi Hara (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St.Luke's International Hosp.), Tetsuro Katafuchi (Gifu Medical Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-87
Klippel-Trenaunay-Weber syndrome (KTS) is a type of vascular lesion for which there is no quantitative diagnostic method... [more] MI2021-87
MI 2021-03-15
Online Online MI2020-49 (To be available after the conference date) [more] MI2020-49
PRMU 2020-10-09
Online Online Examination of data preprocessing in functional MRI image analysis using CNN
Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] PRMU2020-22
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN Effects of skull and surrounding area in functional MRI analysis using Convolutional Neural Network
Yuta Hosoi, Takafumi Hayashi (Niigata Univ.) MI2019-86
A fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since ... [more] MI2019-86
MI 2020-01-29
Okinawa OKINAWAKEN SEINENKAIKAN Proposal for a Method for Classifying Aortic Stenosis from ECG Using Deep Learning, and Analysis Using Grad-CAM.
Erika Hata, Chanjin Seo (Waseda Univ.), Masafumi Nakayama (Todachuo General Hospital), Kiyotaka Iwasaki (Waseda Univ.), Takaaki Ohkawauchi (Nihon Univ.), Jun Ohya (Waseda Univ.) MI2019-87
Aortic valvular stenosis (AS), one of the valvular diseases, can cause sudden death in severe cases. This disease is rar... [more] MI2019-87
IMQ 2019-10-04
Osaka Osaka University Supporting Colonoscope System for Diagnosis of Depth of Invasion Using Deep Learning and Its Visualization
Nao Ito, Toshiya Nakaguchi (Chiba Univ.), Hiroshi Kawahira (Jichi Medical Univ.), Yuichiro Yoshimura (Chiba Univ.), Hirotaka Nakashima (Kayabacho Clinic), Masaya Uesato, Gaku Ohira, Hideaki Miyauchi, Hisahiro Matsubara (Chiba Univ.) IMQ2019-8
Colorectal cancer has a high morbidity and is the second most common cancer death in Japan, and is required to be detect... [more] IMQ2019-8

Mie Sinfonia Technology Hibiki Hall Ise Abstraction of brain emotional activity using convolutional neural network
Kazuki Sakuma, Junya Morita (Shizuoka Univ.), Taiki Nomura, Takatsugu Hirayama, Yuu Enokibori, Kenji Mase (Nagoya Univ.)
Recently, research using deep learning has been conducted in various fields. Along with that, research on network visual... [more]
 Results 1 - 16 of 16  /   
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