27 citations · 109 across the 7 of their papers we have counts for
11 papers · 1 filter
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation
Zengming Shen, Yifan Chen, S. Kevin Zhou +3
The one-to-one mapping is necessary for many bidirectional image-to-image translation applications, such as MRI image synthesis as MRI images are unique to the patient. State-of-th…
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation ()
Haofu Liao, Wei-An Lin, Jiarui Zhang +3
We propose to tackle the problem of multiview 2D/3D rigid registration for intervention via a Point-Of-Interest Network for Tracking and Triangulation (). $\text{PO…
Adversarial Sparse-View CBCT Artifact Reduction
Haofu Liao, Zhimin Huo, William J. Sehnert +2
We present an effective post-processing method to reduce the artifacts from sparsely reconstructed cone-beam CT (CBCT) images. The proposed method is based on the state-of-the-art,…
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
Zhoubing Xu, Yuankai Huo, JinHyeong Park +4
An abdominal ultrasound examination, which is the most common ultrasound examination, requires substantial manual efforts to acquire standard abdominal organ views, annotate the vi…
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma +8
Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risk…
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Guendel, Sasa Grbic, Bogdan Georgescu +4
Chest X-ray is the most common medical imaging exam used to assess multiple pathologies. Automated algorithms and tools have the potential to support the reading workflow, improve…