Akihiko Yoshizawa

According to our database, Akihiko Yoshizawa authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning from Partial Label Proportions for Whole Slide Image Segmentation.

Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Domain Generalization for Pathological Images Using the Storage Period Information.

Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags.

Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Proportion Estimation by Masked Learning from Label Proportion.

Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.

Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation.

Yuki Shigeyasu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation.

Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.

Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Multi-Class Cell Detection Using Modified Self-Attention.

Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.

Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology.

Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Multi-Stage Pathological Image Classification Using Semantic Segmentation.

Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology.

Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019