Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

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

Sensorless freehand 3D ultrasound (US) reconstruction based on deep networks shows
promising advantages, such as large field of view, relatively high resolution, low cost, and …

Ultrasound imaging (USI) is a widely adopted imaging method in clinical diagnosis owing to
its low cost, convenience, and safety. However, due to the complex acoustic attenuation, two …

Freehand 3D ultrasound (US) has important clinical value due to its low cost and
unrestricted field of view. Recently deep learning algorithms have removed its dependence …

Artificial intelligence, especially the deep learning paradigm, has posed a considerable
impact on cancer imaging and interpretation. For instance, fusing transrectal ultrasound …

Laparoscopic Ultrasound (LUS) is recommended as a standard-of-care when performing
laparoscopic liver resections as it images sub-surface structures such as tumours and major …

Abstract 3D ultrasound (US) is widely used for its rich diagnostic information. However, it is
criticized for its limited field of view. 3D freehand US reconstruction is promising in …

We present 3DeepCT, a deep neural network for computed tomography, which performs 3D
reconstruction of scattering volumes from multi-view images. The architecture is dictated by …

Transrectal ultrasound is commonly used for guiding prostate cancer biopsy, where 3D
ultrasound volume reconstruction is often desired. Current methods for 3D reconstruction …