Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …
deep learning approaches, in molecular imaging and radiation therapy research. To this …
Learning to exploit temporal structure for biomedical vision-language processing
Self-supervised learning in vision--language processing (VLP) exploits semantic alignment
between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the …
between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the …
Adaptive radiation therapy in the treatment of lung cancer: An overview of the current state of the field
H Piperdi, D Portal, SS Neibart, NJ Yue… - Frontiers in …, 2021 - frontiersin.org
Lung cancer treatment is constantly evolving due to technological advances in the delivery
of radiation therapy. Adaptive radiation therapy (ART) allows for modification of a treatment …
of radiation therapy. Adaptive radiation therapy (ART) allows for modification of a treatment …
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
Brain tumors are one of the major common causes of cancer-related death, worldwide.
Growth prediction of these tumors, particularly gliomas which are the most dominant type …
Growth prediction of these tumors, particularly gliomas which are the most dominant type …
Robust-Deep: a method for increasing brain imaging datasets to improve deep learning models' performance and robustness
A small dataset commonly affects generalization, robustness, and overall performance of
deep neural networks (DNNs) in medical imaging research. Since gathering large clinical …
deep neural networks (DNNs) in medical imaging research. Since gathering large clinical …
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction
S Dadsetan, D Arefan, WA Berg, ML Zuley, JH Sumkin… - Pattern recognition, 2022 - Elsevier
Abstract Information in digital mammogram images has been shown to be associated with
the risk of develo** breast cancer. Longitudinal breast cancer screening mammogram …
the risk of develo** breast cancer. Longitudinal breast cancer screening mammogram …
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation
Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
[HTML][HTML] Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy
Abstract Background and Purpose Treatments on combined Magnetic Resonance (MR)
scanners and Linear Accelerators (Linacs) for radiotherapy, called MR-Linacs, often require …
scanners and Linear Accelerators (Linacs) for radiotherapy, called MR-Linacs, often require …
Synergizing medical imaging and radiotherapy with deep learning
This article reviews deep learning methods for medical imaging (focusing on image
reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from …
reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from …
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning
T Zhou, A Noeuveglise, R Modzelewski… - … Medical Imaging and …, 2023 - Elsevier
Brain tumor is one of the leading causes of cancer death. The high-grade brain tumors are
easier to recurrent even after standard treatment. Therefore, develo** a method to predict …
easier to recurrent even after standard treatment. Therefore, develo** a method to predict …