26 citations · 89 across the 8 of their papers we have counts for
5 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…
One-to-one Mapping for Unpaired Image-to-image Translation
Zengming Shen, S. Kevin Zhou, Yifan Chen +3
Recently image-to-image translation has attracted significant interests in the literature, starting from the successful use of the generative adversarial network (GAN), to the intr…
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson +6
The interpretation of chest radiographs is an essential task for the detection of thoracic diseases and abnormalities. However, it is a challenging problem with high inter-rater va…
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Sebastian Guendel, Florin C. Ghesu, Sasa Grbic +4
Chest X-ray (CXR) is the most common X-ray examination performed in daily clinical practice for the diagnosis of various heart and lung abnormalities. The large amount of data to b…
3D Organ Shape Reconstruction from Topogram Images
Elena Balashova, Jiangping Wang, Vivek Singh +3
Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-u…