306 citations · 391 across the 11 of their papers we have counts for
6 papers · 1 filter
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
Wang Zihao, Demarcy Thomas, Vandersteen Clair +4
Incorporating shape information is essential for the delineation of many organs and anatomical structures in medical images. While previous work has mainly focused on parametric sp…
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks
Wang Zihao, Vandersteen Clair, Demarcy Thomas +4
Metal Artifacts creates often difficulties for a high quality visual assessment of post-operative imaging in {c}omputed {t}omography (CT). A vast body of methods have been proposed…
Feature matching in Ultrasound images
Hang Zhu, Zihao Wang
Feature matching is an important technique to identify a single object in different images. It helps machines to construct recognition of a specific object from multiple perspectiv…
Weakly-supervised 3D Shape Completion in the Wild
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam +5
3D shape completion for real data is important but challenging, since partial point clouds acquired by real-world sensors are usually sparse, noisy and unaligned. Different from pr…
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning
Pengcheng Wang, Zihao Wang, Zhilong Ji +3
This paper introduces our approach to the EmotioNet Challenge 2020. We pose the AU recognition problem as a multi-task learning problem, where the non-rigid facial muscle motion (m…
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss
Shuman Jia, Antoine Despinasse, Zihao Wang +5
Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can…