activity
20182023
most citedBi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks

72 citations · 86 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2023★ 72 cited

Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks

Xin Yang, Yi Lin, Zhiwei Wang +2

In this paper, we propose a bi-modality medical image synthesis approach based on sequential generative adversarial network (GAN) and semi-supervised learning. Our approach consist…

cs.CV2022

Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation

Jinxin Lv, Xiaoyu Zeng, Sheng Wang +3

One-shot segmentation of brain tissues is typically a dual-model iterative learning: a registration model (reg-model) warps a carefully-labeled atlas onto unlabeled images to initi…

cs.CV2022

Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions

Hongkuan Shi, Zhiwei Wang, Ying Zhou +3

Semi-supervised learning via teacher-student network can train a model effectively on a few labeled samples. It enables a student model to distill knowledge from the teacher's pred…

cs.CV2022

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs

Zhiwei Wang, Jinxin Lv, Yunqiao Yang +5

Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae. However, the neighbor…

cs.CL2020★ 13 cited

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models

Haochen Liu, Zhiwei Wang, Tyler Derr +1

Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society. However, due to their inherent opaqueness, some recently raised conc…

cs.LG2018★ 1 cited

Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization

Zhiwei Wang, Yi Lin, Kwang-Ting Cheng +1

In this paper, we address the problem of synthesizing multi-parameter magnetic resonance imaging (mp-MRI) data, i.e. Apparent Diffusion Coefficients (ADC) and T2-weighted (T2w), co…