過去のお知らせ
IEEE Lifetech 2019に当研究室から10件の発表を行い、学部4年生の諸戸君が受賞しました！
2019年3月12日～14日に大阪で開催の2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019)に当研究室から10件の発表を行いました。
また、学部4年生の諸戸君が2nd Prize IEEE Lifetech 2019 Excellent Paper Awardを受賞しました。
(1) Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features
Taiga Matsui, Naoki Saito and Takahiro Ogawa (Hokkaido University, Japan); Satoshi Asamizu (Kushiro National College of Technology, Japan); Miki Haseyama (Hokkaido University, Japan)
(2) Fine-tuning of Pre-trained DCNN for Gastritis Detection from Gastric X-ray Images
Misaki Kanai, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(3) Video Classification Based on User Preferences with Soft-bag Multiple Instance Learning
Akira Toyoda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(4) Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(5) Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models
Masanao Matsumoto, Naoki Saito, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(6) Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(7) Bone Metastatic Tumor Detection Based on AnoGAN Using CT Images
Haruna Watanabe, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(8) Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images
Ren Togo, Takahiro Ogawa, Osamu Manabe, Kenji Hirata, Tohru Shiga and Miki Haseyama (Hokkaido University, Japan)
(9) Estimation of users’ interest levels using tensor completion with SemiCCA
Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)
(10) Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning
Zongyao Li, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)