Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding. - Wenzhao Zhao; Yisong Lv; Qiegen Liu; Binjie Qin (IEEE Access, 2018)

Texture Variation Adaptive Image Denoising With Nonlocal PCA. - Wenzhao Zhao; Qiegen Liu; Yisong Lv; Binjie Qin (IEEE Trans. Image Process., 2019)

Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network. - Wenzhao Zhao; Barbara D. Wichtmann; Steffen Albert; Angelika Maurer; Frank G. Zöllner; Ulrike I. Attenberger; Jürgen Hesser (CoRR, 2023)

Weighted Monte Carlo augmented spherical Fourier-Bessel convolutional layers for 3D abdominal organ segmentation. - Wenzhao Zhao; Steffen Albert; Barbara D. Wichtmann; Angelika Maurer; Ulrike I. Attenberger; Frank G. Zöllner; Jürgen Hesser (CoRR, 2024)

Efficient generalizable deep learning for inverse problems. - Wenzhao Zhao (2024)

A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data. - Binwu Wang; Isaac Rodriguez; Leon Breitinger; Fabian Tollens; Timo Itzel; Dennis Grimm; Andrei Sirazitdinov; Matthias Frölich; Stefan O. Schönberg; Andreas Teufel; Jürgen Hesser; Wenzhao Zhao (CoRR, 2025)