Sparse decomposition learning based dynamic MRI reconstruction. - Peifei Zhu; Qieshi Zhang; Sei-ichiro Kamata (ICMV, 2014)

Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound. - Peifei Zhu; Zisheng Li (MCV/BAMBI@MICCAI, 2016)

Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules. - Peifei Zhu; Masahiro Ogino (iMIMIC/ML-CDS@MICCAI, 2019)

Multi-Domain Adversarial Balancing for the Estimation of Individual Treatment Effect. - Peifei Zhu; Zisheng Li; Masahiro Ogino (ICONIP (5), 2021)

Frequency-aware GAN for Adversarial Manipulation Generation. - Peifei Zhu; Genki Osada; Hirokatsu Kataoka; Tsubasa Takahashi 001 (ICCV, 2023)

3rd Place Solution to Meta AI Video Similarity Challenge. - Shuhei Yokoo; Peifei Zhu; Junki Ishikawa; Rintaro Hasegawa (CoRR, 2023)

Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track. - Shuhei Yokoo; Peifei Zhu; Yuchi Ishikawa; Mikihiro Tanaka; Masayoshi Kondo; Hirokatsu Kataoka (CoRR, 2023)

Image Generation and Learning Strategy for Deep Document Forgery Detection. - Yamato Okamoto; Osada Genki; Iu Yahiro; Rintaro Hasegawa; Peifei Zhu; Hirokatsu Kataoka (CoRR, 2023)

Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time. - Peifei Zhu; Zisheng Li; Masahiro Ogino (Int. J. Comput. Intell. Syst., 2023)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. - Peifei Zhu; Tsubasa Takahashi 001; Hirokatsu Kataoka (CVPR, 2024)