Publications
[2019] [2018] [2017] [2016] [2015] [20112014] [20062010] [20002005]
2019

D. Wu, K. Kim, and Q. Li, "Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction," Medical physics, 2019.
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D. Wu, K. Kim, M. K. Kalra, B. De Man, and Q. Li, "Learned primaldual reconstruction for dual energy computed tomography with reduced dose," in 15th International Meeting on Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, p. 1107206.
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D. Wu, K. Kim, G. El Fakhri, and Q. Li, "Computationalefficient cascaded neural network for CT image reconstruction," Physics of Medical Imaging, 2019, p. 109485Z.
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T.A. Song, F. Yang, S. R. Chowdhury, K. Kim, K. A. Johnson, G. El Fakhri, et al., "PET Image Deblurring and SuperResolution with an MRBased Joint Entropy Prior," IEEE Transactions on Computational Imaging, 2019.

T.A. Song, S. R. Chowdhury, G. El Fakhri, Q. Li, and J. Dutta, "Superresolution PET imaging using a generative adversarial network," Journal of Nuclear Medicine, vol. 60, pp. 576576, 2019.

K. Kim, Y. D. Son, J.H. Kim, and Q. Li, "Parametric image estimation using Residual simplified reference tissue model," in 15th International Meeting on Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, p. 1107237.

K. Kim, D. Kim, J. Yang, G. El Fakhri, Y. Seo, J. A. Fessler, et al., "Time of flight PET reconstruction using nonuniform update for regional recovery uniformity," Medical physics, vol. 46, pp. 649664, 2019.

R. Ju, C. Hu, P. Zhou, and Q. Li, "Early diagnosis of Alzheimer's disease based on restingstate brain networks and deep learning," IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 16, pp. 244257, 2019.

Z. Guo, X. Li, H. Huang, N. Guo, and Q. Li, "Deep LearningBased Image Segmentation on Multimodal Medical Imaging," IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 3, pp. 162169, 2019.

Z. Guo, N. Guo, K. Gong, and Q. Li, "Automatic multimodality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D UNet," in Medical Imaging, 2019, p. 1095009.

N. Guo, C. Wu, Z. Guo, and Q. Li, "Intratumoral heterogeneity predicts recurrence after radiofrequency ablation therapy using early posttreatment 18FFDG PET in lung cancer," Journal of Nuclear Medicine, vol. 60, pp. 15881588, 2019.

K. Gong, D. Wu, K. Kim, J. Yang, T. Sun, G. El Fakhri, et al., "MAPEMNet: an unrolled neural network for Fully 3D PET image reconstruction," in 15th International Meeting on Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, p. 110720O.

K. Gong, D. Wu, K. Kim, J. Yang, G. El Fakhri, Y. Seo, et al., "EMnet: an unrolled deep neural network for PET image reconstruction," in Medical Imaging, p. 1094853.

K. Gong, C. Catana, J. Qi, and Q. Li, "Direct patlak reconstruction from dynamic PET using unsupervised deep learning," in 15th International Meeting on Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, p. 110720R.

K. Gong, C. Catana, J. Qi, and Q. Li, "Direct Patlak Reconstruction for LowDose Dynamic PET Using Unsupervised Deep Learning," Journal of Nuclear Medicine, vol. 60, pp. 575575, 2019.

J. Cui, K. Gong, N. Guo, C. Wu, K. Kim, H. Liu, et al., "Population and individual information guided PET image denoising using deep neural network," in 15th International Meeting on Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, p. 110721E.

J. Cui, K. Gong, N. Guo, K. Kim, H. Liu, and Q. Li, "CTguided PET parametric image reconstruction using deep neural network without prior training data," in Medical Imaging 2019, p. 109480Z.
2018

Y. Zhao, X. Li, W. Zhang, S. Zhao, M. Makkie, M. Zhang, et al., "Modeling 4D fMRI Data via SpatioTemporal Convolutional Neural Networks (STCNN)," in International Conference on Medical Image Computing and ComputerAssisted Intervention, 2018, pp. 181189.

M. Zhang, X. Li, M. Xu, and Q. Li, "RBC semantic segmentation for sickle cell disease based on deformable UNet," in International Conference on Medical Image Computing and ComputerAssisted Intervention, 2018, pp. 695702.

L. Zhang, H. Wang, Q. Li, M.H. Zhao, and Q.M. Zhan, "Big data and medical research in China," bmj, vol. 360, p. j5910, 2018.

F. Yang, R. Tabassum, J. Sanchez, A. Becker, G. El Fakhri, Q. Li, et al., "Association between partial volume corrected longitudinal tau measures and cognitive decline," Journal of Nuclear Medicine, vol. 59, pp. 411411, 2018.

F. Yang, R. Tabassum, A. Becker, J. S. Sanchez, G. El Fakhri, Q. Li, et al., "JOINT DEBLURRING OF LONGITUDINAL DIFFERENTIAL PET IMAGES OF TAU," Alzheimer's & Dementia: The Journal of the Alzheimer's Association, vol. 14, p. P167, 2018.

D. Wu, K. Kim, and Q. Li, "Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging," arXiv preprint arXiv:1810.03999, 2018.

D. Wu, K. Kim, B. Dong, G. El Fakhri, and Q. Li, "EndtoEnd Lung Nodule Detection in Computed Tomography," in International Workshop on Machine Learning in Medical Imaging, 2018, pp. 3745.

X. Wang, X. Zhen, Q. Li, D. Shen, and H. Huang, "Cognitive assessment prediction in Alzheimer’s disease by multilayer multitarget regression," Neuroinformatics, vol. 16, pp. 285294, 2018.

J. H. Thrall, X. Li, Q. Li, C. Cruz, S. Do, K. Dreyer, et al., "Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success," Journal of the American College of Radiology, vol. 15, pp. 504508, 2018.

J. Sepulcre, M. J. Grothe, F. d. O. Uquillas, L. OrtizTerán, I. Diez, H.S. Yang, et al., "Neurogenetic contributions to amyloid beta and tau spreading in the human cortex," Nature medicine, vol. 24, p. 1910, 2018.

D. Pantazis, M. Fang, S. Qin, Y. Mohsenzadeh, Q. Li, and R. M. Cichy, "Decoding the orientation of contrast edges from MEG evoked and induced responses," NeuroImage, vol. 180, pp. 267279, 2018.

X. Li, Q. Chen, X. Wang, N. Guo, N. Wu, and Q. Li, "Network Modeling and Pathway Inference from Incomplete Data (" PathInf")," arXiv preprint arXiv:1810.00839, 2018.

K. Kim, D. Wu, K. Gong, J. Dutta, J. H. Kim, Y. D. Son, et al., "Penalized PET reconstruction using deep learning prior and local linear fitting," IEEE transactions on medical imaging, vol. 37, pp. 14781487, 2018.

K. Kim, J. Dutta, A. Groll, G. El Fakhri, L.J. Meng, and Q. Li, "A novel depthofinteraction rebinning strategy for ultrahigh resolution PET," Physics in Medicine & Biology, vol. 63, p. 165011, 2018.

Z. Guo, X. Li, H. Huang, N. Guo, and Q. Li, "Medical image segmentation based on multimodal convolutional neural network: study on image fusion schemes," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, pp. 903907.

K. Gong, J. Yang, K. Kim, G. El Fakhri, Y. Seo, and Q. Li, "Attenuation Correction of PET/MR Using Deep Neural Network Based on Dixon and ZTE MR Images," Journal of Nuclear Medicine, vol. 59, pp. 650650, 2018.

K. Gong, J. Yang, K. Kim, G. El Fakhri, Y. Seo, and Q. Li, "Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images," Physics in Medicine & Biology, vol. 63, p. 125011, 2018.

K. Gong, K. Kim, J. Cui, N. Guo, C. Catana, J. Qi, et al., "Learning personalized representation for inverse problems in medical imaging using deep neural network," arXiv preprint arXiv:1807.01759, 2018.

K. Gong, J. Guan, K. Kim, X. Zhang, J. Yang, Y. Seo, et al., "Iterative PET image reconstruction using convolutional neural network representation," IEEE transactions on medical imaging, vol. 38, pp. 675685, 2018.

K. Gong, C. Catana, J. Qi, and Q. Li, "PET Image Reconstruction Using Deep Image Prior," IEEE transactions on medical imaging, 2018.

Y. Chang, G. C. Sharp, Q. Li, H. A. Shih, G. El Fakhri, J. B. Ra, et al., "Subjectspecific brain tumor growth modelling via an efficient Bayesian inference framework," in Medical Imaging 2018: Image Processing, 2018, p. 105742I.

P. Bandi, O. Geessink, Q. Manson, M. Van Dijk, M. Balkenhol, M. Hermsen, et al., "From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge," IEEE transactions on medical imaging, vol. 38, pp. 550560, 2018.
2017

B. Ehteshami Bejnordi, M. Veta, P. Johannes van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, JAWM. van der Laak; the CAMELYON16 Consortium, M. Hermsen, QF. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, MC. van Dijk, P. Bult, F. Beca, AH. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, et., Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer, JAMA，vol 318, no 22, pp:21992210, 2017.
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R. Ju, C. Hu, P. Zhou, Q. Li, Early Diagnosis of Alzheimer's Disease Based on RestingState Brain Networks and Deep Learning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: PP, Issue: 99, 2017

K. Kim, G. El Fakhri, Q. Li, Lowdose CT reconstruction using spatially encoded nonlocal penalty. Med Phys, vol 44, no 10, pp:e376e390, 2017.
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J. Yang, C. Hu, N. Guo, J. Dutta, LM. Vaina, KA. Johnson, J. Sepulcre, GE. Fakhri, Q. Li, Partial volume correction for PET quantification and its impact on brain network in Alzheimer's disease, Sci Rep, vol 7, no 1, pp:13035, 2017.
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D. Wu, K. Kim, G. El Fakhri, Q. Li, Iterative LowDose CT Reconstruction With Priors Trained by Artificial Neural Network, IEEE Trans Med Imaging, vol 36, no 12, pp:24792486, 2017.
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S. Jeong, X. Li, J. Yang, Q. Li, V. Tarokh, Dictionary Learning and Sparse CodingBased Denoising for HighResolution Task Functional Connectivity MRI Analysis, International Workshop on Machine Learning in Medical Imaging MLMI 2017: Machine Learning in Medical Imaging pp 4552

X. Li, A. Zhong, M. Lin, N. Guo, M. Sun, A. Sitek, J. Ye, J. Thrall, Q. Li, Selfpaced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis, International Workshop on Machine Learning in Medical Imaging MLMI 2017: Machine Learning in Medical Imaging pp 212219

S. Roy Chowdhury, J. Yang, G. El Fakhri, Q. Li, J. Dutta, Joint Segmentation of MultiChannel Images Using Multigraph Cuts, J Nucl Med May 1, 2017 vol. 58no. supplement 1 1308

D. Pantazis, M. Fang, S. Qin, Y. Mohsenzadeh, Q. Li, RM. Cichy, Decoding the orientation of contrast edges from MEG evoked and induced responses, Neuroimage, pii: S10538119(17)305906, 2017.
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K. Kim, Y. Don Son, G. El Fakhri, Q. Li, Penalized direct estimation using joint similarity of kinetic images with partial dynamic data, J Nucl Med May 1, 2017 vol. 58no. supplement 1 1304

H. Farhadi, Y. Xiang, S. Jeong, X. Li, N. Guo, J. Sepulcre, V. Tarokh, Q. Li, Inferring the causality network of Abeta and Tau accumulation in the aging brain: a statistical inference approach, J Nucl Med May 1, 2017 vol. 58no. supplement 1 803

K. Gong, J. Guan, K. Kim, X. Zhang, G. El Fakhri, J. Qi, Q. Li, Iterative PET Image Reconstruction Using Convolutional Neural Network Representation, arXiv:1710.03344 [cs.CV]

Y. Lu, A. Zhong, Q. Li, B. Dong, Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations, arXiv:1710.10121 [cs.CV]

D. Wu, K. Kim, G. El Fakhri, Q. Li, A Cascaded Convolutional Neural Network for Xray Lowdose CT Image Denoising,
arXiv:1705.04267 [cs.CV]

A. Groll, K. Kim, Q. Li, L. Meng, Ultrahigh Resolution Coplanar PET Imaging of Microfluidic Devices for Synthesizing PET Radiopharmaceuticals, J Nucl Med May 1, 2017 vol. 58 no. supplement 1 90

M. Zhang, X. Li, M. Xu, Q. Li, Image Segmentation and Classification for Sickle Cell Disease using Deformable UNet, arXiv:1710.08149 [qbio.CB]

N. Guo, Z. Guo, N. Shusharina, Z. Liao, G. El Fakhri, Q. Li, SVM based Radiomics Analysis using Preradiotherapy PET/CT Increases the Prediction Accuracy of Radiation Pneumonitis, J Nucl Med May 1, 2017 vol. 58 no. supplement 1 501

C. Su, J. Dutta, H. Zhang, G. El Fakhri, Q. Li, Image deblurring using a joint entropy prior in xray luminescence computed tomography, Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013706 (13 March 2017)

D. Wu, K. Kim, B. Dong, Q. Li, EndtoEnd Abnormality Detection in Medical Imaging, arXiv:1711.02074 [cs.CV]

Z. Guo, X. Li, H. Huang, N. Guo, Q. Li, Medical Image Segmentation Based on MultiModal Convolutional Neural Network: Study on Image Fusion Schemes, arXiv:1711.00049 [cs.CV]

S. Shi, X. Li, A. Sitek, Q. Li, Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net,
arXiv:1705.10015 [math.NA]

Q. Li, H. Li, K. Kim, G. El Fakhri, Joint estimation of activity image and attenuation sinogram using timeofflight positron emission tomography data consistency condition filtering, J Med Imaging (Bellingham), vol 4, no 2, pp:023502, 2017.
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J. Sepulcre, MR. Sabuncu, Q. Li, G. El Fakhri, R. Sperling, KA. Johnson, Tau and amyloid β proteins distinctively associate to functional network changes in the aging brain, Alzheimers Dement, vol 13, no 11, pp:12611269, 2017.
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2016

C. Hu, X. Hua, J. Ying, PM. Thompson, GE. Fakhri, Q. Li, Localizing Sources of Brain Disease Progression with Network Diffusion Model, IEEE J Sel Top Signal Process. vol 10, no 7, pp:12141225, 2016.
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C. Hu**, X. Hua, P. M. Thompson, J. Ying, G. E. Fakhri, and Q. Li, Inferring Sources of Dementia Progression with Network Diffusion Model, IEEE Journal of Selected Topics in Signal Process, Accepted, 2016
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A. Sitek, Q. Li, G. El Fakhri and N. Alpert, Validation of Bayesian Analysis of Compartmental Kinetic Models in Medical Imaging, Physica Medica, accepted
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A. Groll, K. Kim, H. Bhatia, J. C. Zhang, J. H. Wang, Z. M. Shen, L. Cai, J. Dutta, Q. Li, and L. J. Meng, Hybrid PixelWaveform (HPWF) Enabled CdTe Detectors for Small Animal GammaRay Imaging Applications, IEEE Transaction on Nuclear Sciences, accepted
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C. Hu**, R. Ju, Y. Shen, P. Zhou and Q. Li, Clinical Decision Support and Disease Prediction from EHealth Systems, ICC, 2016 Media Coverage  IEEE Sprectrum

Q. Li, E. Asma, J. Qi, J. R. Bading and R. M. Leahy, Accurate Estimation of the Fisher Information Matrix for the PET Image Reconstruction Problem, in proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conf., 2003, Portland, OR, vol.3, pp:2012 2016
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A. Groll, K. Kim, J. Smith, J. Kroeger, H. Bhatia, J. Dutta, Q. Li and L. J. Meng, An Experimental Evaluation of a Hybrid PixelWaveform CdTe Based Prototype PET Detector Against Commercial MicroPET for Imaging Tau Protein Pathology in Transgenic Mouse Brain Tissue, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2016, accepted

J. Dutta, G. El Fakhri and Q. Li, PET Image Denoising Using Anatomically Guided NonLocal Euclidean Medians, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2016, accepted

K. Kim, G. El Fakhri and Q. Li, Penalized joint direct estimation using partial dynamic data for parametric imaging in PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2016, accepted

K. Kim, J. Yang, G. El Fakhri, Y. Seo and Q. Li, Penalized MLAA using a MRbased Spatiallyencoded Anatomic Prior in TOF PET/MR, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2016, accepted

H. Yang, K. Kim, G. El Fakhri, K. Kang, Y. Xing and Q. Li, Dualenergy CT reconstruction using guided image filtering, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2016, accepted
2015

K. Kim**, J. C. Ye, W. Worstell, J. Ouyang, Y. Rakvongthaia, G. El Fakhria and Q. Li. Sparseview Multienergy CT Reconstruction using Spectral Patchbased Lowrank Penalty, IEEE Transactions on Medical Imaging, vol. 34, no. 3, pp:748760, 2015
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N. Guo**, F. Zhang, X. Zhang, J. Guo, L. Lang, D. O. Kiesewetter, G. Niu, Q. Li* and Chen, X. Quantitative Evaluation of Tumor Early Response to a VascularDisrupting Agent with Dynamic PET. Molecular Imaging and Biology, in press, 2015.
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C. Hu**, L. Cheng, J. Sepulcre, K. Johnson, G. El Fakhri, Y. M. Lu and Q. Li, A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer's Disease. Plos One, in press, 2015
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J. Dutta**, C. Huang, Q. Li* and G. El Fakhri, Pulmonary Imaging Using Respiratory Motion Compensated Simultaneous PET/MR. Medical Physics, vol. 42, no. 7, pp:42274240, 2015
Cover Paper of vol. 42, no. 7 at Physics in Medical Physics, 2015
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M. Wang**, N. Guo, G. Hu, G. El Fakhri, H. Zhang and Q, Li, A novel approach to assess the treatment response using Gaussian random field in PET. Medical Physics, accepted, 2015
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C. Hu**, J. Sepulcre, K. Johnson, G. El Fakhri, Y. M. Lu and Q. Li, Matched Signal Detection on Graphs: Theory and Application to Brain Imaging Data Classification. Neuroimage, accepted, 2015
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K. S. Grogg, T. Toole, J. Ouyang, X. Zhu, M. D. Normandin, Q. Li, K. Johnson, N. M. Alpert, and G. El Fakhri, National Electrical Manufacturers Association and Clinical Evaluation of a Novel Brain PET/CT Scanner, J Nucl Med, 2016 57:646652
view in: PubMed

W. Zhu**, N. Guo, B. Bai, P. Conti, R. M. Leahy and Q. Li, Direct Estimation from ListMode Data for Reversible Tracers using Graphical Modeling, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2015, accepted

J. Dutta**, G. El Fakhri, X. Zhu and Q. Li, PET Point Spread Function Modeling and Image Deblurring using a PET/MRI Joint Entropy Prior. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2015, accepted

K. Kim**, J. Dutta, A. Groll, L. Meng, G. EI Fakhri and Q. Li, Penalized Maximum Likelihood Reconstruction of Ultrahigh Resolution PET with Depth of Interaction, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2015, accepted

M. Wang**, G. Hu, G. EI Fakhri, H. Zhang and Q. Li, Improvement of Variance in TOFPET using Iterative Image Reconstruction, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2015, accepted

J. Dutta**, G. El Fakhri and Q. Li, A DataDriven Framework to Optimize External Marker Positioning for Internal Motion Tracking, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, 2015, accepted

K. Kim**, G. El Fakhri and Q. Li, Penalized Direct Estimation of Parametric Images in PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted
view in: PubMed

K. Kim**, G. El Fakhri and Q. Li, Nonlocal and Motionbased Lowrank Regularizations for Gated CT, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted

N. Guo**, RF. Yen, G. El Fakhri and Q. Li, SVM Based Staging for Lung Cancer Patients using Multiple Image Features in PET/CT, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted

G. Gao, X. Lai, H. Li, Q. Li and L. Meng, Experimental Evaluation of Prototype Compound Eye Camera for Use in the Second Generation of MRI Compatible SPECT Imaging, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted

M. Q. Wilks**, G. El Fakhri, N.M. Alpert and Q. Li, A Joint Estimation Method for Kinetic Modeling of Simultaneously Acquired PET/MRI Signals, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted

M. Wang**, G. Hu, G. El Fakhri, H. Zhang and Q. Li, Fast Estimation of Image Variance for TimeofFlight PET Reconstruction, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted

J. Dutta, G. El Fakhri and Q. Li, Spatially Encoded Joint Entropy Prior for PET Image Deblurring, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2015, accepted
2014

J. Guo**, N. Guo, L. Lang, D. O. Kiesewetter, Q. Xie, Q. Li, H. S. Eden, G. Niu, X. Chen, 18FAlfatide II and 18FFDG Dual Tracer Dynamic PET for Parametric, Early Prediction of Tumor Response to Therapy, Journal of Nuclear Medicine, vol 55, no 1, pp:154160, 2014

Y. Lin**, J. P. Haldar, Q. Li and R. M. Leahy. Sparse Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET, IEEE Transactions on Medical Imaging, vol 33, no 1, pp:173185, 2014.

B Bai, Y Lin, W Zhu, R Ren, Q. Li, M Dahlbom, F Di Filippo, RM Leahy, MAP Reconstruction for Fourier Rebinned TOFPET Data, Physics in Medicine and Biology, vol 59, no 4, pp:925949, 2014

W. Zhu**, Q. Li, B Bai, PS Conti, RM Leahy, Patlak Image Estimation from Dual Timepoint Listmode PET Data, IEEE Transactions on Medical Imaging, vol 33, no4, pp:913924, 2014

Y. Petibon, C. Huang, J. Ouyang, T. G Reese, Q. Li, S. Syrkina, YL Chen and G. El Fakhri, Relative Role of Motion and PSF Compensation in Wholebody Oncologic PETMR Imaging, Medical Physics, vol 41, no 4, 042503, 2014

C. Hu**, G. El Fakhri and Q. Li, Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching, In Medical Image Computing and ComputerAssisted Intervention–MICCAI 2014, pp. 733740. Springer International Publishing, 2014

A. Lorsakul**, Q. Li*, C. M. Trott, C. Hoog, Y. Petibon, J. Ouyang, A. F. Laine, and G. El Fakhri. FourDimensional Numerical Observer for Lesion Detection in RespiratoryGated PET, Medical Physics, vol. 41, no. 10 (2014): 102504.

C. Hu**, X. Hua, P. M. Thompson, G. El Fakhri and Q. Li, Inferring Sources of Dementia Progression with Network Diffusion Model, In Machine Learning in Medical Imaging, pp. 4249. Springer International Publishing, 2014

K. Kim**, J. C. Ye, L. Cheng, K. Ying, G. El Fakhri and Q. Li, TOFPET Ordered Subset Reconstruction using NonUniform Separable Quadratic Surrogates Algorithm, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.393396, 2014

K. Kim**, J. C. Ye, G. El Fakhri and Q. Li, Metal Artifact Reduction using l1 norm and NonLocal Penalties with Iterative Sinogram Correction, in proceedings of the third international conference on image formation in Xray computed tomography, pp.393396, Salt Lake City, 2014

X.C. Lai, J. George, H. Li, Q. Li, L.J. Meng, Microscopic SPECT Imaging with Inverted Compound Eye Cameras, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2014.

J. Dutta**, M. Chelala, X. Shao, A. Lorsakul, Q. Li, G. El Fakhri, Accuracy of Respiratory Motion Compensated Image Reconstruction Using 4DPETDerived Deformation Fields, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2014.

H. Li**, G. El Fakhri, A. A. Joshi, Q. Li, An ADMM Reconstruction Algorithm for Joint Registration and Attenuation Correction in TransmissionLess Gated TOF PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2014.

M. Wang**, H. Zhang, G. El Fakhri, Q. Li, The Evaluation of Treatment Response Using Gaussian Random Field Theory, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2014.

A. Lorsakul**, G. El Fakhri, J. Ouyang, W. Worstell, Y. Rakvongthai, A. F. Laine, Q. Li, Numerical Observer for Objective Assessment on Carotid Plaque Using Spectral CT, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2014.
2013

B. Bai, Q. Li and R. M. Leahy, Magnetic ResonanceGuided Positron Emission Tomography Image Reconstruction, Seminars in Nuclear Medicine, vol 43, no 1, pp:3044, 2013

J. Ouyang, Q. Li and G. El Fakhri, Magnetic ResonanceBased Motion Correction for Positron Emission Tomography Imaging, Seminars in Nuclear Medicine, vol 43, no 1, pp:6067, 2013

Y. Rakvongthai**, J. Ouyang, B. Guerin, Q. Li, N. M. Alpert, and G. El Fakhri, Reconstruction of Cardiac PET Kinetic Parametric Images Using a Preconditioned Conjugate Gradient Approach, Medical Physics, vol 40, no 10, 102501, doi: 10.1118/1.4819821, 2013

Y. Petibon, J. Ouyang, T. G. Reese, C. Huang, X. Zhu, S. Y. Chun, Q. Li and G El Fakhri, Cardiac Motion Compensation and Resolution Modeling in Simultaneous PETMR: a cardiac lesion detection study, Physics in Medicine and Biology, vol 58, no 7, pp: 20852102, 2013

C. Hu**, L. Cheng, J. Sepulcre, G. El Fakhri, Y. M. Lu and Q. Li, Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification, Information Processing in Medical Imaging, Lecture Notes in Computer Science, vol 7917, pp 112, 2013 Most downloaded paper in this issue

B. E. Fisher, Q. Li, Angelo Nacca, G. J. Salem, J. Song, J. Yip, J. S. Hui, M. W. Jakowec, and G. M. Petzinger. Treadmill Exercise Elevates Striatal Dopamine D2 Receptor Binding Potential in Patients with Early Parkinson’s Disease, Neuro Report, vol. 24, no. 10, pp: 509514, 2013.

J. Dutta**, S. Ahn and Q. Li, Quantitative Statistical Methods for Image Quality Assessment, Theranostics, vol 3, no 10, pp:741756, 2013.

J. Dutta**, R. M. Leahy and Q. Li, NonLocal Means Denoising of Dynamic PET Images, Plos One, vol.8, no 12, e81390, 2013

C. Hu**, L. Cheng, J. Sepulcre, G. El Fakhri, Y. M. Lu and Q. Li, A Graph Theoretical Regression Model for Brain Connectivity Learning of Alzheimer's Disease, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.616619, 2013

J. Dutta**, G. El Fakhri, C. Huang, Y. Petibon, T. G. Reese, and Q Li. Respiratory Motion Compensation in Simultaneous PET/MR Using a Maximum a Posteriori Approach, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.800803, 2013

W. Zhu**, B. Bai, P. S. Conti, Q. Li, and R. M. Leahy, Data Correction Methods for Wholebody Patlak Imaging from Listmode PET Data, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, pp:213217, 2013

Y. Lin**, B. Bai, W. Zhu, R. Ren, Q. Li, and R. M. Leahy, Optimized MAP Reconstruction of H2weighted Fourier Rebinned TOF PET, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, pp:292296, 2013

H. Li**, G. EI Fakhri, and Q. Li, Direct MAP Estimation of Attenuation Sinogram using TOF PET Data and Anatomical Image, in proceedings of Fully ThreeDimensional Image Reconstruction in Radiology and Nuclear Medicine, pp:404408, 2013

Q. Li. Quantitative Methods for Molecular Diagnostic and Therapeutic Imaging. Theronostics, vol. 3, no.10, pp: 729–730, 2013
2012

L. Zhu, N. Guo, Y. Ma, O. Jacboson, S. Lee, H. S. Choi, Q. Li, G. Niu and X. Chen, Dynamic PET and Optical Imaging and Compartment Modeling using a Duallabeled Cyclic RGDyK Peptidic Probe, Theranostics, vol.2, no. 8, pp:746756, 2012

W. Zhu**, Q. Li and R. Leahy, Dualtimepoint Patlak Estimation from List Mode PET Data, in proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.486489, 2012.

Y. Lin**, Q. Li, Justin Haldar and R. Leahy, Constrained Mixture Modeling For the Estimation of Kinetic Parameters in Dynamic PET, in proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.10041007, 2012

J. Dutta**, G. El Fakhri, Y. Lin, R. M. Leahy and Q. Li, Spatially Varying Regularization for Motion Compensated PET Reconstruction, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., pp.21562160, 2012

Y. Lin**, J. P. Haldar, Q. Li and R. M. Leahy, Kinetic Parameter Estimation in Dynamic PET with a SparsityRegularized Mixture Model, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2012

R. Ren**, B. Bai, Q. Li and R. M. Leahy, Optimizing MAP reconstruction of 3D TOF PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2012

W. Zhu**, B. Bai, P. S. Conti, Q. Li and R. M. Leahy, Dynamic PET With Partial Data for Application to Whole Body Studies, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2012
2011

S. Somayajula**, C. Panagiotou, A. Rangarajan, Q. Li, S.R. Arridge and R.M. Leahy, PET Image Reconstruction Using Information Theoretic Anatomical Priors, IEEE Transactions on Medical Imaging, vol 30, no 3, pp:537549, 2011

S. Ahn, S. Cho, Q. Li and R.M. Leahy, Optimal Rebinning of TimeofFlight PET Data, IEEE Transactions on Medical Imaging, vol. 30, no. 10, pp:18081818, 2011
2010

M. G. Vuckovic, Q. Li, B Fisher, A Nacca, R. M. Leahy, J. P. Walsh, M. W. Jakowec and G. M. Petzinger, Exercise Elevates Dopamine D2 Receptor in a Mouse Model of Parkinson's Disease: in vivo Imaging with [18F]fallypride, Movement Disorders, vol 25, no 16, pp:27772784, 2010 Cover paper of Movement Disorder, vol. 25, no. 16

A. Joshi, D. Pantazis, Q. Li, D.W. Shattuck, L.E. Bernstein and R.M. Leahy, Sulcal Set Optimization for Cortical Surface Registration, NeuroImage, vol. 50, no. 3, pp:950959, 2010

R. Ren**, Q. Li, S. Ahn, S. Cho and R. M. Leahy, Estimation of Gap Data Using BowTie Filters for 3D TimeofFlight PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., pp.26912694, 2010

Y. Lin**, Q. Li and R. M. Leahy, Fast GPUbased forward and back projection in MAP Reconstruction with a factored system matrix, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2010

W. Zhu**, R. M. Leahy, P.S. Conti and Q. Li, Longitudinal Registration of Liver PET Scans Using Four Phase CT, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., pp.23662369, 2010

Q. Li and R. M. Leahy. A Practical Approximation of Variance of OSEM Reconstruction, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2010
2009

Z. Li**, Q. Li, X. Yu, P.S. Conti and R.M. Leahy, Lesion Detection in Dynamic FDGPET Using Matched Subspace Detection, IEEE Transactions on Medical Imaging, vol. 28, no. 2, pp:230–240, 2009

S. Scho**, S. Ahn, Q. Li and R.M. Leahy, Exact and Approximate Fourier Rebinning of PET Data from Timeof Flight to Non TimeofFlight, Physics in Medicine and Biology, vol 54, no. 3, pp: 467484, 2009. Featured Paper of vol. 54, no. 3 at Physics in Medicine and Biology, 2009 Selected Paper, among all papers published at Institute of Physics journals in 2009 Finalist of the Roberts best paper prize, second place, among all the papers in 2009

Z. Li**, Q. Li, D. Pantazis, X. Yu and R. M. Leahy, Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET, IEEE Transactions on Medical Imaging, vol 28, no. 10, pp: 16231631, 2009

A. A. Joshi, D. Pantazis, H. Damasio, Q. Li, D. W. Shattuck, L. E. Bernstein and R. M. Leahy, Optimization of Landmark Selection for Cortical Surface Registration, Computer Vision and Pattern Recognition IEEE conference in CVPR, pp:699706, 2009

S. Somayajula**, B. Bai, Q. Li, and R. M. Leahy, Positron Range Correction Using Information Theoretic Anatomical Priors, in Proc. IEEE Nuclear Science Symposium Medical Imaging Conf., 2009

Y. Lin**, Q. Li, and R. M. Leahy, Kinetic Parameters Estimation for Heterogeneous Tumor Model, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., pp.30693073, 2009

S. Ahn, S. Cho, Q. Li, and R. M. Leahy, Optimal Weighting for Fourier Rebinning of ThreeDimensional TimeofFlight PET Data to NonTimeofFlight, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., pp.29892996, 2009

Q. Li, B. Bai, A. Simth and R.M. Leahy, Count Independent Resolution and Its Calibration, in proceedings of The Tenth International Meeting on Three Dimensional Image Reconstruction in Radiology and Medicine, pp.223224, 2009

Q. Li, R. M. Leahy, Direct Estimation of Patlak Parameters from List Mode PET Data, in proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.390393, 2009.

M G. Vuckovic, G. M. Petzinger, J. VanLeeuwen, A. Nacca, Q. Li, R.M. Leahy, G. Akopian, J. P. Walsh, and M. W. Jakowec. Molecular Mechanisms of Normalized Dopamine and Glutamate Neurotransmission After High Intensity Exercise in the MPTP Mouse Model of Basal Ganglia Injury, in the Workshop of Plasticity and Repair in Neurodegenerative Disorders, 2009
2008

S. Scho**, S. Ahn, Q. Li and R.M. Leahy, Analytical Properties of TOF PET data, Physics in Medicine and Biology, vol 53, no. 11, pp:2809–2821, 2008. Featured Paper of vol. 53, no. 11 at Physics in Medicine and Biology, 2008 Finalist of the Roberts best paper prize, second place, for all the papers in 2008

S. Cho**, S. Ahn, Q. Li, and R. M. Leahy, Fourier Rebinnings from TimeofFlight PET Data to Non TimeofFlight Data, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2008
2007

Q. Li, E. Asma, S. Ahn and R.M. Leahy. A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data, IEEE Transactions on Medical Imaging, vol 26, no. 1, pp:5867, 2007

S.Cho**, Q. Li, S. Ahn and R.M. Leahy. Fast Projectors for Iterative 3D PET Reconstruction, IEEE Transactions on Medical Imaging, vol 26, no. 3, pp: 347–358, 2007

Q. Li and R. M. Leahy, Variance Approximation for Exponential Family Penalized Mzximum Likelihood Estimation: Application to Kinetic Parametric Estimation, in proceedings of 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.916919, 2007

Q. Bao, B. Bai, Q. Li, A. Smith and A. Chatziioannou. Evaluation of Maximum a Posteriori (MAP) Reconstruction on MicroPET Scanner, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2007

S. Cho**, Q. Li, S. Ahn and R. M. Leahy, A New Exact Fourier Rebinning Method for TimeofFlight PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2007

Z. Li**, Q. Li, D. Pantazis, X. Yu and R. M. Leahy, Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET, in proceedings of by IEEE Nuclear Science Symposium Medical Imaging Conf., 2007
2006

Q. Li and R.M. Leahy, Statistical Modeling and Reconstruction of Randoms Precorrected PET Data, IEEE Transactions on Medical Imaging, vol 25, no. 12, pp: 15651572, 2006

Z. Li**, Q. Li, X. Yu, P. S. Conti and R. M. Leahy, Matched Subspace Detection for Dynamic PET: An ROC Phantom Study for MAP Reconstruction, in proceedings of 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.13321335, 2006

Q. Li and R. M. Leahy, Statistical Modeling and Reconstruction of Randoms Precorrected PET Data, in proceedings of 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Z. Li**, Q. Li, X. Yu, P. S. Conti, and R. M. Leahy, Performance of Matched Subspace Detectors for Dynamic FDG PET, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2006

S. Cho**, Q. Li, S. Ahn, and R. M. Leahy. On the Impact of Arc Correction and Axial Resampling in Inverse Fourier Rebinning, in proceedings of IEEE Nuclear Science Symposium Medical Imaging Conf., 2006
2005

S. Cho**, Q. Li, S. Ahn and R. M. Leahy, Fast Projectors for Iterative 3D PET reconstruction, in proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conf., vol. 4, 2005

Q. Li, S. Ahn and R. M. Leahy, Fast Hybrid Algorithms for PET Image Reconstruction, in proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conf., pp.58, 2005
2004

Y. Yang, Y.C. Tai, S. Siege, D.F. Newport, B. Bai, Q. Li, R.M. Leahy and S.R. Cherry, Optimization and Performance Evaluation of the MicroPET II Scanner for In Vivo SmallAnimal Imaging, Physics in Medicine and Biology, vol. 49, no. 12, pp:2527–2545, 2004 Highlight Paper of vol. 49, no. 12 at Physics in Medicine and Biology, 2004

Q. Li, E. Asma, J. Qi, J. R. Bading and R. M. Leahy, Accurate Estimation of the Fisher Information Matrix for the PET Image Reconstruction Problem, IEEE Transactions on Medical Imaging, vol 23, no. 9, pp:10571064, 2004

Q. Li, E. Asma and R. M. Leahy, A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data, in proceedings of 2004 IEEE International Symposium on Biomedical Imaging: from Nano to Macro, Arlington, VA, pp:555 558, 2004

Q. Li, E. Asma and R. M. Leahy, Fast Fully 4D Dynamic PET Image Reconstruction Based on List Mode Data, in proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conf., 2004, Roma, Italy
2002

B. Bai, Q. Li, C. H. Holdsworth, E. Asma, Y. C. Tai, A. Chatziioannou and R. M. Leahy, Model Based Normalization for Iterative 3D PET Reconstruction, Physics in Medicine and Biology, vol. 47, no. 15, pp:2785–2797, 2002.
2000

Q. Li, X. Gao, J. Ouyang. Methods for Removing Respiratory Interference from Thoracic Electrical Bioimpedance, Journal of Tsinghua University (Sci. & Tech.), vol.9, pp:003, 2000.

R. Li, P. Wang, Q. Zhang and Q. Li, The Study on a Novel Biochemical Image Sensor, Journal of Chinese Biomedical Engineering, vol.19, no.4, pp:382386, 2000