Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …

Cross-modality image estimation involves the generation of images of one medical imaging
modality from that of another modality. Convolutional neural networks (CNNs) have been …

Background: CT scans are often the first and only form of brain imaging that is performed to
inform treatment plans for neurological patients due to its time-and cost-effective nature …

Significant advancements have been made in developing parametric models for digital
humans, with various approaches concentrating on parts such as the human body, hand, or …

Objective. In MR-only clinical workflow, replacing CT with MR image is of advantage for
workflow efficiency and reduces radiation to the patient. An important step required to …

Background: Computed tomography (CT) and magnetic resonance imaging (MRI) are the
mainstream imaging technologies for clinical practice. CT imaging can reveal high-quality …

Objective: Megavoltage computed tomography (MV-CT) is used for setup verification and
adaptive radiotherapy in tomotherapy. However, its low contrast and high noise lead to poor …

Background The use of magnetic resonance (MR) imaging for proton therapy treatment
planning is gaining attention as a highly effective method for guidance. At the core of this …

CT scans are currently the most common imaging modality used for suspected stroke
patients due to their short acquisition time and wide availability. However, MRI offers …

Many clinical works require medical inter-modality imaging results since the supplementary
imaging information from different modalities can be combined to provide better decision …