Deep learning-based lung image registration: A review

H Xiao, X Xue, M Zhu, X Jiang, Q Xia, K Chen… - Computers in biology …, 2023 - Elsevier
Lung image registration can effectively describe the relative motion of lung tissues, thereby
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space

M Fallahpoor, S Chakraborty, B Pradhan… - Computer methods and …, 2024 - Elsevier
Positron emission tomography/computed tomography (PET/CT) is increasingly used in
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …

[HTML][HTML] An application independent review of multimodal 3D registration methods

E Saiti, T Theoharis - Computers & Graphics, 2020 - Elsevier
Registration is a ubiquitous operation in Visual Computing, with applications in 3D object
retrieval among others. Registration is the process of overlaying two or more datasets taken …

[HTML][HTML] The past, present, and future role of artificial intelligence in ventilation/perfusion scintigraphy: a systematic review

A Jabbarpour, S Ghassel, J Lang, E Leung… - Seminars in Nuclear …, 2023 - Elsevier
Ventilation-perfusion (V/Q) lung scans constitute one of the oldest nuclear medicine
procedures, remain one of the few studies performed in the acute setting, and are amongst …

Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data

J Schaefferkoetter, V Shah, C Hayden, JO Prior… - European Journal of …, 2023 - Springer
Abstract Background For PET/CT, the CT transmission data are used to correct the PET
emission data for attenuation. However, subject motion between the consecutive scans can …

Unsupervised 3D PET-CT image registration method using a metabolic constraint function and a multi-domain similarity measure

H Yu, H Jiang, X Zhou, T Hara, YD Yao, H Fujita - IEEE Access, 2020 - ieeexplore.ieee.org
High-resolution CT images can clearly display anatomical structures but does not display
functional information, while blurred PET images can display molecular and functional …

Micro-Doppler extraction of radar targets with translational motion based on spatial transformer network

X Xu, C Feng - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
The micro-Doppler (MD) signature, an effect that is induced by micro-motion, characterizes
the rich motion information of targets, making it a valuable tool for target classification and …

Function Integrated Diagnostic Assistance Based on MCA Models

H Fujita, T Hara, X Zhou, A Teramoto, N Kamiya… - … : Toward Integration of …, 2022 - Springer
This article describes the summary of our research achievement on the function integrated
diagnostic assistance based on multidisciplinary computational anatomy (MCA) models. The …

[PDF][PDF] Amir Jabbarpour, MSc,* Siraj Ghassel, BSc, Jochen Lang, PhD, Eugene Leung, MD, z

MD Grégoire Le Gal, R Klein, E Moulton - Semin Nucl Med - binasss.sa.cr
Ventilation-perfusion (V/Q) scans constitute one of the oldest studies in nuclear medicine,
dating as far back as the 1960s. 1, 2 While lung scintigraphy can serve to evaluate lung …

Research on document similarity calculation and detection based on deep learning

C Xing, Y Yang, J Luo - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In view of the complexity of traditional document similarity calculation methods and the
problem of large error, a document similarity calculation and detection method based on …