Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

One of the fundamental challenges in supervised learning for multimodal image registration
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a …

Abstract A non-rigid MR-TRUS image registration framework is proposed for prostate
interventions. The registration framework consists of a convolutional neural networks (CNN) …

We describe an adversarial learning approach to constrain convolutional neural network
training for image registration, replacing heuristic smoothness measures of displacement …

Background and purpose Radiotherapeutic dose escalation to dominant intraprostatic
lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this …

Registration and fusion of magnetic resonance imaging (MRI) and transrectal ultrasound
(TRUS) of the prostate can provide guidance for prostate brachytherapy. However, accurate …

Image registration is an ill-posed inverse problem which often requires regularisation on the
solution space. In contrast to most of the current approaches which impose explicit …

Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …

Purpose In the current standard of care, real-time transrectal ultrasound (TRUS) is
commonly used for prostate brachytherapy guidance. As TRUS provides limited soft tissue …

Data augmentation (DA) is a key factor in medical image analysis, such as in prostate
cancer (PCa) detection on magnetic resonance images. State-of-the-art computer-aided …