Accurate and robust segmentation of lung cancers from CTs is needed to m...
Although deep convolutional networks have been widely studied for head a...
Despite the widespread availability of in-treatment room cone beam compu...
We developed a new joint probabilistic segmentation and image distributi...
We implemented and evaluated a multiple resolution residual network (MRR...
Lung tumors, especially those located close to or surrounded by soft tis...
The Wasserstein distance is a powerful metric based on the theory of opt...
Lack of large expert annotated MR datasets makes training deep learning
...
Quantification of local metabolic tumor volume (MTV) chan-ges after
Chem...
Spiculations are spikes on the surface of pulmonary nodule and are impor...