Publications

Google scholar: https://scholar.google.com/citations?user=zc6kc4kAAAAJ&hl=en

Journal Papers:

  1. Yang B, Gong K, Liu H, Li Q, Zhu W. Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention. IEEE Transactions on Medical Imaging, 2024, in press
  2. Bousse A, Kandarpa VS, Shi K, Gong K, Lee JS, Liu C, Visvikis D. A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches. IEEE Transactions on Radiation and Plasma Medical Sciences, 2024,in press.
  3. Jang S, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for Low-dose PET Image Denoising. IEEE transactions on medical imaging, in press.
  4. Gong K, Johnson AK, El Fakhri G, Li Q, Pan T, PET image denoising based on denoising diffusion probabilistic models. European journal of nuclear medicine and molecular imaging, in press.
  5. Li S, Gong K, Badawi R, Kim E, Qi J, Wang G. Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction. IEEE transactions on medical imaging 42 (3), 785-796.
  6. Li GY, Chen J, Jang SI, Gong K, Li Q. SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. Medical Physics, in press.
  7. Tiss A, Marin T, Chemli Y, Spangler-Bickell M, Gong K, Lois C, Petibon Y, Landes V, Grogg K, Normandin M, Becker A. Impact of motion correction on [18F]-MK6240 tau PET imaging. Physics in Medicine & Biology. 2023 May 15;68(10):105015.
  8. Cui J*, Gong K*, N Guo, K Kim, Liu H, Li Q. Unsupervised PET Logan Parametric Image Estimation Using Conditional Deep Image Prior.  Medical Image Analysis, 2022 Aug 1;80:102519.
  9. Cui J*, Gong K*, Han P, Liu H, Li Q. Unsupervised Arterial Spin Labeling Image Super-Resolution via Multi-Scale Generative Adversarial Network. Medical Physics, 2022 Apr;49(4):2373-85.
  10. Gong K, Catana C, Qi J, Li Q. Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior, IEEE Transactions on Medical Imaging, 2021 Oct 15;41(3):680-9.
  11. Gong K, K Kim, J Cui, D Wu and Q Li, The Evolution of Image Reconstruction in PET: From Filtered Back-Projection to Artificial Intelligence. PET clinics. 2021 Oct 1;16(4):533-42.
    • Invited review paper.
  12. Xie N*, Gong K*, Guo N, Qin Z, Wu Z, Liu H, Li Q. Rapid High-Quality PET Patlak Parametric Image Generation based on Direct Reconstruction and Temporal Nonlocal Neural Network, NeuroImage. 2021 Oct 15;240:118380.
  13. Cui J*, Gong K*, Guo N, Wu C, Kim K, Liu H, Li Q. Populational and individual information based PET image denoising using conditional unsupervised learning. Physics in Medicine & Biology. 2021 Jul 19;66(15):155001.
  14. Gong K*, Wu D*, Arru C, et al, A Multi-Center Study of COVID-19 Patient Prognosis Using Deep Learning-based CT Image Analysis and Electronic Health Records, European Journal of Radiology, 2021 Jun 1;139:109583.
  15. Xie N*, Gong K*, Guo N, Qin Z, Wu Z, Liu H, Li Q. Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding, IEEE Transactions on Biomedical Engineering, 2020, in press
  16. Gong K*, Han P*, Johnson K, El Fakhri G, Ma C, Li Q. Attenuation Correction Using Deep Learning and Integrated UTE/Multi-Echo Dixon Sequence: Evaluation in Amyloid and Tau PET Imaging. European journal of nuclear medicine and molecular imaging. 2021 May;48(5):1351-61.
  17. Wu D*, Gong K*, Arru  C, et al. Severity and Consolidation Quantification of COVID-19 from CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE Journal of Biomedical and Health Informatics. 2020 Oct 12;24(12):3529-38.
  18. Kim K, Gong K, Moon S, El Fakhri G, Normandin M, Li Q. Penalized Parametric PET Image Estimation using Local Linear Fitting. IEEE Transactions on Radiation and Plasma Medical Sciences. 2020 Sep 15;4(6):750-8.
  19. Gong K, Yang J, Larson P, Behr S, Hope T, Seo Y, and Li Q. MR-based Attenuation Correction for Brain PET Using 3D Cycle-Consistent Adversarial Network. IEEE Transactions on Radiation and Plasma Medical Sciences. 2020 Jul 3;5(2):185-92.
  20. Xie Z, Baikejiang B, Li T, Zhang X, Gong K, Zhang M, Qi W, Asma E, and Qi J. Generative adversarial network based regularized image reconstruction for PET. Physics in Medicine & Biology. 2020 Jun 19;65(12):125016.
  21. Han P, Horng D, Gong K, Petibon Y, Kim K, Li Q, Johnson K, El Fakhri G, Ouyang J, Ma C.  MR-Based PET Attenuation Correction using Ultrashort Echo Time/Multi-Echo Dixon Acquisitions. Medical Physics. 2020 Jul;47(7):3064-77.
    • Chosen as Editor’s Choice.
  22. Gong K*, Han P*, El Fakhri G, Ma C, Li Q. Arterial Spin Labeling MR Image Denoising and Reconstruction Using Unsupervised Deep Learning, NMR in Biomedicine. 2019 Dec 22:e4224.
  23. 16. Guo Z, Guo N, Gong K, Zhong S, Li Q. Gross Tumor Volume Segmentation for Head and Neck Cancer Radiotherapy using Deep Dense Multi-Modality Network. Physics in Medicine & Biology. 2019 Oct 16;64(20):205015.
  24. Gong K*, Berg E*, Cherry S and Qi J. Machine Learning in PET: from Photon Detection to Quantitative Image Reconstruction. Proceedings of the IEEE. 2019 Sep 19;108(1):51-68.
    • Invited review paper.
  25. Cui J*, Gong K*, Guo N, Meng X, Kim K, Zheng K, Wu Z, Fu L, Xu B, Zhu Z, Tian J, Liu H, Li Q, PET image denoising using unsupervised deep learning. European journal of nuclear medicine and molecular imaging. 2019 Dec 1;46(13):2780-9.
  26. Stolin A, Jaliparthi G, Raylman RR, Brefczynski-Lewis J, Majewski S, Qi J, Gong K, Dolinsky S. Evaluation of Hamamatsu PET imaging modules for dedicated TOF-capable scanners. IEEE Transactions on Radiation and Plasma Medical Sciences. 2019 Nov;3(6):634-39.
  27. Gong K, Catana C, Qi J, Li Q. PET Image Reconstruction Using Deep Image Prior. IEEE transactions on medical imaging. 2019 July; 38(7):1655-65.
  28. Gong K, Guan J, Liu CC, Qi J. PET Image Denoising Using a Deep Neural Network Through Fine Tuning. IEEE Transactions on Radiation and Plasma Medical Sciences. 2018 Oct 23;3(2):153-61.
  29. Gong K, Guan J, Kim K, Zhang X, Yang J, Seo Y, El Fakhri G, Qi J, Li Q. Iterative PET image reconstruction using convolutional neural network representation. IEEE transactions on medical imaging. 2018 Sep 12; 38(3):675-85.
  30. Chen KT, Salcedo S, Gong K, Chonde DB, Izquierdo-Garcia D, Drzezga AE, Rosen B, Qi J, Dickerson BC, Catana C. An Efficient Approach to Perform MR-assisted PET Data Optimization in Simultaneous PET/MR Neuroimaging Studies. Journal of Nuclear Medicine. 2019 Feb 1;60(2), pp.272-278.
  31. Gong K, Yang J, Kim K, El Fakhri G, Seo Y, Li Q. Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images. Physics in Medicine & Biology. 2018 Jun 13; 63(12), p.125011.
  32. Kim K, Wu D, Gong K, Dutta J, Kim JH, Son YD, Kim HK, El Fakhri G, Li Q. Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE transactions on medical imaging. 2018 Jun;37(6):1478-87.
  33. Godinez F, Gong K, Zhou J, Judenhofer MS, Chaudhari AJ, Badawi RD. Development of an Ultra High Resolution PET Scanner for Imaging Rodent Paws: PawPET. IEEE Transactions on Radiation and Plasma Medical Sciences. 2018 Jan;2(1):7-16.
  34. Gong K, Cheng-Liao J, Wang G, Chen KT, Catana C, Qi J. Direct Patlak reconstruction from dynamic PET data using kernel method with MRI information based on structural similarity. IEEE transactions on medical imaging. 2018 Apr 1;37(4):955-65.
  35. Gong K, Zhou J, Tohme M, Judenhofer M, Yang Y, Qi J. Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET. IEEE transactions on medical imaging. 2017 Oct;36(10):2179-88.
    • Chosen as Featured Article.
  36. Kyme AZ, Judenhofer MS, Gong K, Bec J, Selfridge A, Du J, Qi J, Cherry SR, Meikle SR. Open-field mouse brain PET: design optimisation and detector characterisation. Physics in Medicine & Biology. 2017 Jul 13;62(15):6207.
  37. Gong K, Majewski S, Kinahan PE, Harrison RL, Elston BF, Manjeshwar R, Dolinsky S, Stolin AV, Brefczynski-Lewis JA, Qi J. Designing a compact high performance brain PET scanner—simulation study. Physics in Medicine & Biology. 2016 Apr 19;61(10):3681.
    • Chosen as Featured Article.
    • Reported in medicalphysicsweb and healthimaging.
    • #4 among PMB top 10 most downloaded papers in 2016.
  38. Gong K, Cherry SR, Qi J. On the assessment of spatial resolution of PET systems with iterative image reconstruction. Physics in Medicine & Biology. 2016 Feb 11;61(5):N193.

Conference Papers:

  1. Cui J, Xie Y, Joshi A, Gong K, K Kim, Son Y, Kim J, Leaky R, Liu H, Li Q. PET denoising and uncertainty estimation based on NVAE model using quantile regression loss. International Conference on Medical Image Computing and Computer-Assisted Intervention 2022.
  2. Y Li, Cui J, Chen J, Zeng G, Wollenweber S, Jansen F, Jang S, Kim K, Gong K, Li Q. A Noise-level-aware Framework for PET Image Denoising. International Workshop on Machine Learning for Medical Image Reconstruction 2022.
  3. Xie N*, Gong K*, Guo N, Qin Z, Wu Z, Liu H, Li Q. Improved Patlak Reconstruction from Low-dose Dynamic PET Using Temporal Non-local Neural Network. In 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) (pp. 1-3).
  4. Cui J*, Gong K*, Han P, Liu H, Li Q. Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network. In International Workshop on Machine Learning in Medical Imaging, pp. 50-59. Springer, Cham, 2020.
  5. Xie N*, Gong K*, Guo N, Qin Z, Z Wu, Cui J, Liu H and Li Q. Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network”. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 793-802. Springer, Cham,2020
  6. Gong K, Kim K, Wu D, Kalra M, Li Q, “Low-dose dual energy CT image reconstruction using non-local deep image prior”, In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) 2019 Nov 2 (pp. 1-2). IEEE. (Oral presentation)
  7. Wu D, Gong K, Kim K, Li Q, Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 741-749. Springer, Cham, 2019.
  8. Xie Z, Reheman B, Gong K, Zhang X, Qi J. Generative adversarial networks based regularized image reconstruction for PET. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2019 May 28 (Vol. 11072, p. 110720P). International Society for Optics and Photonics. (Oral presentation)
  9. Gong K, Catana C, Qi J, Li Q. Direct Patlak Reconstruction from Dynamic PET Using Unsupervised Deep Learning. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2019 May 28 (Vol. 11072, p. 110720R). International Society for Optics and Photonics. (Oral presentation)
  10. Gong K, Wu D, Kim K, Yang J, El Fakhri G, Seo Y, Li Q. MAPEM-Net: An Unrolled Neural Network for Fully 3D PET Image Reconstruction. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2019 May 28 (Vol. 11072, p. 110720O). International Society for Optics and Photonics. (Oral presentation)
  11. Cui J*, Gong K*, Guo N, Kim K, Liu H, Li Q. Population and Individual Information Guided PET Image Denoising Using Deep Neural Network. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2019 May 28 (Vol. 11072, p. 110721E). International Society for Optics and Photonics. (Oral presentation)
  12. Guo Z, Guo N, Gong K, Li Q. Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net. In Medical Imaging 2019: Computer-Aided Diagnosis (Vol. 10950, p. 1095009). (Oral presentation)
  13. Yuan N, Zhou J, Gong K, Qi J. Low-dose CT count-domain denoising via convolutional neural network with filter loss. In Medical Imaging 2019: Physics of Medical Imaging 2019 Mar 1 (Vol. 10948, p. 109480R). (Oral presentation)
  14. Gong K, Wu D, Kim K, Yang J, El Fakhri G, Seo Y, Li Q. EMnet: an unrolled deep neural network for PET image reconstruction. In Medical Imaging 2019: Physics of Medical Imaging 2019 Mar 1 (Vol. 10948, p. 1094853).
  15. Cui J*, Gong K*, Guo N, Kim K, Liu H, Li Q. CT-guided PET parametric image reconstruction using deep neural network without prior training data. In Medical Imaging 2019: Physics of Medical Imaging 2019 Mar 1 (Vol. 10948, p. 109480Z). (Oral presentation)
  16. Song TA, Chowdhury SR, Kim K, Gong K, El Fakhri G, Li Q, Dutta J. Super-Resolution PET Using A Very Deep Convolutional Neural Network. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) 2018 Nov 10 (pp. 1-2). IEEE. (Oral presentation)
  17. Cui J*, Gong K*, Guo N, Kim K, Liu H, Li Q. CT-guided PET Image Denoising using Deep Neural Network without Prior Training Data. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) 2018 Nov 10 (pp. 1-2). IEEE. (Oral presentation)
  18. Gong K, Guan J, Liu CC, Qi J. PET image denoising using deep neural network. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (pp. 1-2). IEEE. (Oral presentation)
  19. Kim K, Wu D, Gong K, Kimb JH, Son YD, Kim HK, El Fakhria G, Li Q. Penalized PET reconstruction using CNN prior. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (pp. 1-4). IEEE.
  20. Gong K, Wang G, Chen KT, Catana C, Qi J. Nonlinear PET parametric image reconstruction with MRI information using kernel method. In Medical Imaging 2017: Physics of Medical Imaging 2017 Mar 9 (Vol. 10132, p. 101321G). (Oral presentation)
  21. Kyme AZ, Gong K, Judenhofer MS, Bec J, Du J, Qi J, Cherry SR, Meikle SR. Open-field mouse brain PET: Design considerations and detector development. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (pp. 1-3). IEEE. (Oral presentation)
  22. Gong K, Majewski S, Kinahan PE, Harrison RL, Elston BF, Manjeshwar R, Dolinsky S, Stolin AV, Brefczynski-Lewis JA, Qi J. Simulation study for designing a compact brain PET scanner. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (pp. 1-3). IEEE. (Oral presentation)
  23. Gong K, Wu Y, Daghighian F, Qi J, Study of a novel-geometry PET scanner. In Proceedings of International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2015 ( pp. 562-5).