One of the distinct characteristics in radiologists' reading of
multipar...
In this study, we present a hybrid CNN-RNN approach to investigate long-...
We propose an image synthesis mechanism for multi-sequence prostate MR i...
Biomechanical modelling of soft tissue provides a non-data-driven method...
The prowess that makes few-shot learning desirable in medical image anal...
Dice similarity coefficient (DSC) and Hausdorff distance (HD) are widely...
Image quality assessment (IQA) in medical imaging can be used to ensure ...
In this paper, we propose to train deep neural networks with biomechanic...
Classical pairwise image registration methods search for a spatial
trans...
One of the fundamental challenges in supervised learning for multimodal ...
We describe an adversarial learning approach to constrain convolutional
...
Spatially aligning medical images from different modalities remains a
ch...
In this paper, we describe how a patient-specific, ultrasound-probe-indu...