Explanipedia

Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets Open

Tinsu Pan, Chang-Hong Wu, Jung-Hua Wang, Ming‐Jer Chen, Yu‐Chiao Yi , et al. · 2025

Medical image datasets frequently exhibit significant class imbalance, a challenge that is further amplified by the inherently limited sample sizes that characterize clinical imaging data. Using human embryo time-lapse imaging (TLI) as a c…

Improving data-driven gated (DDG) PET and CT registration in thoracic lesions: a comparison of AI registration and DDG CT Open

Tinsu Pan, M.A. Thomas, Yang Lü, Dershan Luo · 2025

Purpose Misregistration between CT and PET can result in mis-localization and inaccurate quantification of the tracer uptake in PET. Data-driven gated (DDG) CT can correct registration and quantification but requires a radiation dose of 1.…

Radiomics Integration of Mammography and DCE-MRI for Predicting Molecular Subtypes in Breast Cancer Patients Open

Xianwei Yang, Jing Li, Hang Sun, Jing Chen, Jin Xie , et al. · 2025

The radionics model utilizing multimodal fusion features from breast mammography combined with DCE-MRI images showed high performance in distinguishing molecular subtypes of breast cancer. It is of significance to accurately predict progno…

Real-time CBCT imaging and motion tracking via a single arbitrarily-angled x-ray projection by a joint dynamic reconstruction and motion estimation (DREME) framework Open

Hua‐Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang · 2025

Objective. Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion…

Comments on the paper “Data-driven gating (DDG)-based motion match for improved CTAC registration. EJNMMI Physics. 2024;11(1):42.” Open

Tinsu Pan · 2024

Misregistration between CT and PET in PET/CT is mainly caused by respiratory motion or irregular respiration during the CT scan in PET/CT. Other than repeat CT, repeat PET/CT, or data-driven gated (DDG) CT, there is no practical approach t…

Data-driven gated positron emission tomography/computed tomography for radiotherapy Open

Tinsu Pan, Dershan Luo · 2024

Dynamic CBCT imaging using prior model-free spatiotemporal implicit neural representation (PMF-STINR) Open

Hua‐Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang · 2024

Objective . Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extre…

Correcting CT misregistration in data‐driven gated (DDG) PET with PET self‐gating and deformable image registration Open

Peng Sun, M.A. Thomas, Dershan Luo, Tinsu Pan · 2024

Background Misregistration between CT and PET data can result in mis‐localization and inaccurate quantification of functional uptake in whole body PET/CT imaging. This problem is exacerbated when an abnormal inspiration occurs during the f…

Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising Open

Se‐In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen , et al. · 2023

Position emission tomography (PET) is widely used in clinics and research due to its quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR). Recently convolutional neural networks (CNNs) have been widely…

Dynamic CBCT Imaging using Prior Model-Free Spatiotemporal Implicit Neural Representation (PMF-STINR) Open

Hua‐Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang · 2023

Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extremely ill-pos…

PET image denoising based on denoising diffusion probabilistic model Open

Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan · 2023

A transformer-based hierarchical registration framework for multimodality deformable image registration Open

Yao Zhao, Xinru Chen, Brigid A. McDonald, Cenji Yu, Abdalah S.R. Mohamed , et al. · 2023

Compensation cycle consistent generative adversarial networks (Comp‐GAN) for synthetic CT generation from MR scans with truncated anatomy Open

Yao Zhao, He Wang, Cenji Yu, Laurence E. Court, Xin Wang , et al. · 2023

Background MR scans used in radiotherapy can be partially truncated due to the limited field of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment planning. Purpose We proposed a novel Compensation‐cycleGAN (Co…

Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR) Open

You Zhang, Hua‐Chieh Shao, Tinsu Pan, Tielige Mengke · 2023

Objective . Dynamic cone-beam CT (CBCT) imaging is highly desired in image-guided radiation therapy to provide volumetric images with high spatial and temporal resolutions to enable applications including tumor motion tracking/prediction a…

Coronary artery calcium score on standard of care oncologic CT scans for the prediction of adverse cardiovascular events in patients with non-small cell lung cancer treated with concurrent chemoradiotherapy Open

Efstratios Koutroumpakis, Ting Xu, Juan Lopez‐Mattei, Tinsu Pan, Lu Yang , et al. · 2022

Introduction Chemoradiotherapy (CRT) has been associated with increased incidence of cardiovascular (CV) adverse events (CVAE). Coronary artery calcium scoring (CAC) has shown to predict coronary events beyond the traditional CV risk facto…

P103: Comparison of PET-derived parameters in program cell death-1 inhibitor and CD30 antibody drug conjugate-based therapies in patients with advanced stage cHL: A single center experience. Open

Serageldin Kamel, Lucia Martiniova, Eslam Aboismail, Joo Schmidt, Sairah Ahmed , et al. · 2022

Table 1: Patient characteristics and PET-derived parameters Background: Advanced-stage classical Hodgkin’s lymphoma (cHL) is a curable malignancy, however up to 25% of patients may relapse following frontline multiagent-chemotherapy. Novel…

PET image denoising based on denoising diffusion probabilistic models Open

Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan · 2022

Due to various physical degradation factors and limited counts received, PET image quality needs further improvements. The denoising diffusion probabilistic models (DDPM) are distribution learning-based models, which try to transform a nor…

Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising Open

Se‐In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen , et al. · 2022

Position emission tomography (PET) is widely used in clinics and research due to its quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR). Recently convolutional neural networks (CNNs) have been widely…

Anatomical validation of automatic respiratory motion correction for coronary 18F‐sodium fluoride positron emission tomography by expert measurements from four‐dimensional computed tomography Open

Martin Lyngby Lassen, Evangelos Tzolos, Tinsu Pan, Jacek Kwieciński, Sebastien Cadet , et al. · 2022

Background Respiratory motion correction is of importance in studies of coronary plaques employing 18 F‐NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test–retest repeatability asses…

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT Open

Tinsu Pan, M.A. Thomas, Dershan Luo · 2022

Background The accuracy of positron emission tomography (PET) quantification and localization can be compromised if a misregistered computed tomography (CT) is used for attenuation correction (AC) in PET/CT. As data‐driven gating (DDG) con…

Impact of acquisition time and misregistration with CT on data-driven gated PET Open

M.A. Thomas, Joseph Meier, Osama Mawlawi, Peng Sun, Tinsu Pan · 2022

Objective . Data-driven gating (DDG) can address patient motion issues and enhance PET quantification but suffers from increased image noise from utilization of <100% of PET data. Misregistration between DDG-PET and CT may also occur, alte…

Comparison of PSMA-based <sup>18</sup>F-DCFPyL PET/CT and pelvic multiparametric MRI for lesion detection in the pelvis in patients with prostate cancer. Open

Trinh T. Nguyen, Priya Bhosale, Guofan Xu, Tinsu Pan, Peng Wei , et al. · 2022

Our study demonstrated that PSMA-based ¹⁸F-DCFPyL PET/CT and pelvic mpMRI have a good concordance rate in the detection of primary or recurrence prostate disease and can have complementary roles in the clinical assessment of the…

Noise reduction profile: A new method for evaluation of noise reduction techniques in CT Open

Akira Hasegawa, Toshihiro Ishihara, M.A. Thomas, Tinsu Pan · 2021

Purpose Noise power spectrum (NPS) is a commonly used performance metric to evaluate noise‐reduction techniques (NRT) in imaging systems. The images reconstructed with and without an NRT can be compared via their NPS to better understand t…

Data-driven gated PET/CT: implications for lesion segmentation and quantitation Open

M.A. Thomas, Tinsu Pan · 2021

New Data-Driven Gated PET/CT Free of Misregistration Artifacts Open

Tinsu Pan, Yang Lü, M.A. Thomas, Zhongxing Liao, Dershan Luo · 2020

Respiration-averaged CT versus standard CT attenuation map for correction of 18F-sodium fluoride uptake in coronary atherosclerotic lesions on hybrid PET/CT Open

Evangelos Tzolos, Martin Lyngby Lassen, Tinsu Pan, Jacek Kwieciński, Sebastien Cadet , et al. · 2020

Pitfalls in quantitative myocardial PET perfusion I: Myocardial partial volume correction Open

K. Lance Gould, Linh Bui, Danai Kitkungvan, Tinsu Pan, Amanda E. Roby , et al. · 2020

Comparison of ejection fraction calculation between CT and SPECT at high heart rate: A dynamic cardiac phantom study Open

Chien-Cheng Chen, Thau-Yun Shen, Christine B. Peterson, Guang‐Uei Hung, Tinsu Pan · 2020

OA02.09 Multi-Planar Lung Cancer Measurements Provide Improved Accuracy in Clinical Staging Open

Erin M. Corsini, Girish S. Shroff, S.L. Betancourt, K. G. Mitchell, Nicolas Zhou , et al. · 2019

A Proton Radiography System Design Using a Liquid Scintillator Detector Open

Chinmay Darne, Daniel Robertson, Fahed Alsanea, Fada Guan, Tinsu Pan , et al. · 2019

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