Image registration is a fundamental task in multiple medical image analysis applications.
With the advent of deep learning, there have been significant advances in algorithmic …

Neuronavigation using pre-operative imaging data for neurosurgical guidance is a
ubiquitous tool for the planning and resection of oncologic brain disease. These systems are …

Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …

Despite the substantial progress achieved in the development and integration of augmented
reality (AR) in surgical robotic and autonomous systems (RAS), the center of focus in most …

The ability to accurately overlay one modality retinal image to another is critical in
ophthalmology. Our previous framework achieved the state-of-the-art results for multimodal …

Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and
percutaneous interventions, thanks to its high portability, temporal resolution, and cost …

Purpose Registration and segmentation of magnetic resonance (MR) and ultrasound (US)
images could play an essential role in surgical planning and resectioning brain tumors …

Homologous anatomical landmarks between medical scans are instrumental in quantitative
assessment of image registration quality in various clinical applications, such as MRI …

To compensate for the intraoperative brain tissue deformation, computer-assisted
intervention methods have been used to register preoperative magnetic resonance images …

Registration of multimodal images is challenging, especially when dealing with different
anatomical structures and samples without segmentations. The main difficulty arises from …