Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …

We present an approach to learning regular spatial transformations between image pairs in
the context of medical image registration. Contrary to optimization-based registration …

Pancreatic cancer, an exceptionally malignant tumor of the digestive system, presents a
challenge due to its lack of typical early symptoms and highly invasive nature. The majority …

Background and purpose Stereotactic body radiation therapy (SBRT) of locally advanced
pancreatic cancer (LAPC) is challenging due to significant motion of gastrointestinal (GI) …

Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …

Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

Artificial intelligence (AI) has made significant advancements in the medical domain in
recent years. AI, an expansive field comprising Machine Learning (ML) and, within it, Deep …

Purpose To simultaneously register all the longitudinal images acquired in a radiotherapy
course for analyzing patients' anatomy changes for adaptive radiotherapy (ART). Methods …