GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy

A Ferreira, J Li, KL Pomykala, J Kleesiek, V Alves… - Medical image …, 2024 - Elsevier
With the massive proliferation of data-driven algorithms, such as deep learning-based
approaches, the availability of high-quality data is of great interest. Volumetric data is very …

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

ID Apostolopoulos, NI Papandrianos, A Feleki… - EJNMMI physics, 2023 - Springer
Deep learning (DL) has a growing popularity and is a well-established method of artificial
intelligence for data processing, especially for images and videos. Its applications in nuclear …

Generative adversarial network (generative artificial intelligence) in pediatric radiology: A systematic review

CKC Ng - Children, 2023 - mdpi.com
Generative artificial intelligence, especially with regard to the generative adversarial network
(GAN), is an important research area in radiology as evidenced by a number of literature …

[PDF][PDF] GAN-based generation of realistic 3D data: A systematic review and taxonomy

A Ferreira, J Li, KL Pomykala, J Kleesiek… - arXiv preprint arXiv …, 2022 - researchgate.net
Data has become the most valuable resource in today's world. With the massive proliferation
of data-driven algorithms, such as deep learning-based approaches, the availability of data …

Quantitation of dynamic total-body PET imaging: recent developments and future perspectives

F Gu, Q Wu - European Journal of Nuclear Medicine and Molecular …, 2023 - Springer
Background Positron emission tomography (PET) scanning is an important diagnostic
imaging technique used in disease diagnosis, therapy planning, treatment monitoring, and …

Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality pet/ct: A prospective survey

MZ Islam, RA Naqvi, A Haider, HS Kim - Engineering Applications of …, 2023 - Elsevier
Tumor lesion segmentation and staging in cancer patients are one of the most challenging
tasks for radiologists to recommend better treatment planning like radiation therapy …

Hybrid Deep Learning Approach for Accurate Tumor Detection in Medical Imaging Data

MA Cifci, S Hussain, PJ Canatalay - Diagnostics, 2023 - mdpi.com
The automated extraction of critical information from electronic medical records, such as
oncological medical events, has become increasingly important with the widespread use of …

New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review

X Ge, J Gao, R Niu, Y Shi, X Shao, Y Wang… - Frontiers in …, 2023 - frontiersin.org
Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of
cancer-associated deaths. In recent years, significant progress has been achieved in basic …

MRAβ: A multimodal MRI‐derived amyloid‐β biomarker for Alzheimer's disease

Y Zhang, X Li, Y Ji, H Ding, X Suo, X He… - Human Brain …, 2023 - Wiley Online Library
Abstract Florbetapir 18F (AV45), a highly sensitive and specific positron emission
tomographic (PET) molecular biomarker binding to the amyloid‐β of Alzheimer's disease …

Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation

G Bansal, A Nawal, V Chamola… - ACM Transactions on …, 2024 - dl.acm.org
Traditional multimedia experiences are undergoing a transformation as generative AI
integration fosters enhanced creative workflows, streamlines content creation processes …