Publications

Journal papers

  1. Shiwei Zhou*, Jinyu Yang*, Krishnateja Konduri, Junzou Huang, Lifeng Yu, and Mingwu Jin, “Spatiotemporal denoising of low-dose cardiac CT image sequences using RecycleGAN,” 9(b), 065006, Biomed Phys Eng Express., 2023. (*: co-first-author) DOI: 10.1088/2057-1976/acf223 PMID: 37604139 PMCID: PMC10593187.
  2. Tang J, Jia C, Zhang J, Jiang M, Pan Y, Jiang S, Hu B, Cao Q, Jin M. Calibration of spatially modulated snapshot imaging polarimeter based on phase-shift interferometry. Appl Opt. 2023 Apr 20;62(12):3142-3148. doi: 10.1364/AO.483989. PMID: 37133162.
  3. Cao Q, Jiang M, Jia C, Jiang S, Zhang J, Yao B, Jin M, Dehoog E, Duan L, Wang H, Deng T, Fan D. Snapshot imaging Mueller matrix polarimeter using modified Savart polariscopes. Appl Opt. 2023 Mar 10;62(8):2124-2129. doi: 10.1364/AO.481493. PMID: 37133101.
  4. Zhou S, Yu L, Jin M. Texture transformer super-resolution for low-dose computed tomography. Biomed Phys Eng Express. 2022 Nov 4;8(6):10.1088/2057-1976/ac9da7. doi: 10.1088/2057-1976/ac9da7. PMID: 36301699; PMCID: PMC9707552.
  5. Harsh Arya, Varghese A. Chirayath, Mingwu Jin, Alex H. Weiss, Gary A. Glass, Yujie Chi, “Electrostatic Focusing Lens System for Low MeV-ion Microprobe: a Simulation and Optimization Study,” Nuclear Instruments and Methods in Physics Research B, 518: 7-14, 2022.
  6. Haoze Chen, Mingwu Jin, Zhijie Zhang, and Fengxiang Wang, “Prediction of dMRI Signals with Neural Architecture Search,” 365:109389, Journal of Neuroscience Methods, 2022.
  7. Yang Pan, Mingwu Jin, Shunrong Zhang, and Yue Deng, “TEC map completion through a deep learning model: SNP‐GAN,” 19.11, e2021SW002810. https:// doi.org/10.1029/2021SW002810, Space Weather, 2021.
  8. Shiwei Zhou, Yujie Chi, Jing Wang, and Mingwu Jin, “General simultaneous motion estimation and image reconstruction (G-SMEIR),” Biomed. Phys. Eng. Express, 2021 Jul 29;7(5):10.1088/2057-1976/ac12a4. doi: 10.1088/2057-1976/ac12a4. PMID: 34237713; PMCID: PMC8346322.
  9. Alberto De Luca, Andrada Ianus,  Alexander Leemans,  Marco Palombo,  Noam Shemesh,  Hui Zhang,  Daniel C Alexander,  Markus Nilsson,  Martijn Froeling,  Geert-Jan Biessels, MD,  Mauro Zucchelli,  Matteo Frigo,  Enes Albay; Sara Sedlar; Abib Alimi,  Samuel Deslauriers-Gauthier,  Rachid Deriche,  Rutger Fick,  Maryam Afzali,  Tomasz Pieciak,  Fabian Bogusz, Santiago Aja-Fernandez,  Evren Özarslan,  Derek K Jones,  Haoze Chan, Mingwu Jin, Zhijie Zhang, Fengxiang Wang; Vishwesh Nath,  Prasanna Parvathaneni,  Jan Morez, Jan Sijbers,  Ben Jeurissen,  Shreyas Fadnavis, Stefan Endres, Ariel Rokem,  Eleftherios Garyfallidis,  Irina Sanchez, Vesna Prchkovska, Paulo Rodrigues, Bennet A Landman,  Kurt G Schilling, “On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge,” 240, 118367, https://doi.org/10.1016/j.neuroimage.2021.118367, NeuroImage, 2021.
  10. M. Xing, Jeotikanta Mohapatra, J. Beatty, J. Elkins, Nil Kanatha Pandey, A. Chalise, W. Chen, M. Jin, J. Ping Liu, “Iron-based magnetic nanoparticles for multimodal hyperthermia heating,” Volume 871, 159475, doi.org/10.1016/j.jallcom.2021.159475., Journal of Alloys and Compounds, 2021.
  11. Youfang Lai, Qian Wang, Shiwei Zhou, Zhaohen Xie, Jinyi Qi, Simon R. Cherry, Mingwu Jin, Yujie Chi, and Junwei Du, “H2RSPET: a 0.5 mm resolution total-body small-animal PET scanner, a simulation study,” 66(6):065016, Physics in Medicine & Biology, doi:10.1088/1361-6560/abe558, 2021.
  12. Mehwish Arshad, Zhaojie Wang, Jamal Abdul Nasir, Eric Amador, Mingwu Jin, Haibin Li, Zhigang Chen, Zia-ur-Rehman, and Wei Chen “Single Source Precursor Synthesized CuS Nanoparticles for NIR Photons Based Phototherapy of Cancer and Photodegradation of Organic Carcinogen,” 214, 112084, Journal of Photochemistry & Photobiology, B: Biology, doi.org/10.1016/j.jphotobiol.2020.112084,2020.
  13. Ananta Chalise, Yujie Chi, Youfang Lai, Yiping Shao, and Mingwu Jin, “Carbon-12 and Carbon-11 Beam Range Verifications through Prompt Gamma and Positron Emission Tomography Measurements using Monte Carlo Simulations,” 6, 065013, Biomed. Phys. Eng. Express, 2020.
  14. Zeheng Li*, Shiwei Zhou*, Junzhou Huang, Lifeng Yu, and Mingwu Jin, “Investigation of Low-Dose CT Image Denoising Using Unpaired Deep Learning Methods,” IEEE Trans. Radiation and Plasma Medical Sciences, 2020, doi: 10.1109/TRPMS.2020.3007583. (*: co-first-author)
  15. Yang Pan, Mingwu Jin, Shunrong Zhang, and Yue Deng, “TEC map completion using DCGAN and Poisson blending,” 18(5), e2019SW002390, Space Weather, 2020. (https://doi.org/10.1029/2019SW002390)
  16. Lai, Youfang, Yuncheng Zhong, Ananta Chalise, Yiping Shao, Mingwu Jin, Xun Jia, and Yujie Chi. “gPET: a GPU-based, accurate and efficient Monte Carlo simulation tool for PET.” Physics in Medicine & Biology, 64, no. 24 (2019): 245002.
  17. Chen, Zhou, Mingwu Jin, Yue Deng, Jing‐Song Wang, Heng Huang, Xiaohua Deng, and Chun‐Ming Huang. “Improvement of a Deep Learning Algorithm for Total Electron Content Maps: Image Completion.” Journal of Geophysical Research: Space Physics 124, no. 1 (2019): 790-800.
  18. Cong Zhao, Yuncheng Zhong, Xinhui Duan, You Zhang, Xiaokun Huang, Jing Wang, and Mingwu Jin, “4D cone-beam computed tomography (CBCT) using a moving-blocker for simultaneous radiation dose reduction and scatter correction,” Phys Med Biol. 63(11):115007. doi:10.1088/1361-6560/aac229, 2018.
  19. Jing Zhang, Changan Yuan, Guohua Huang, Yinjun Zhao, Wenyi Ren, Qizhi Cao, Jianying Li, and Mingwu Jin, “Acquisition of a full-resolution image and aliasing reduction for a spatially modulated imaging polarimeter with two snapshots,” Applied Optics, 57:2376-82 2018.
  20. Fuwen Lai, Jayanth Kandukuri, Baohong Yuan, Zhijie Zhang, and Mingwu Jin, “Thermal Image Enhancement through the Deconvolution Methods for Low-Cost Infrared Cameras,” Quantitative Infrared Thermography Journal, DOI: 10.1080/17686733.2018.1441956, 2018.
  21. Mingwu Jin and Weishu Deng, “Predication of Different Stages of Alzheimer’s Disease Using Neighborhood Component Analysis and Ensemble Decision Tree,” J Neurosci Methods. 15;302:35-41. doi: 10.1016/j.jneumeth.2018.02.014. 2018.
  22. Cong Zhao, Xi Chen, Luo Ouyang, Jing Wang, and Mingwu Jin*, “Robust moving-blocker scatter correction for cone-beam computed tomography using multiple-view information”, PLoS ONE 12(12): e0189620. https://doi.org/10.1371/journal. pone.0189620, 2017.
  23. Li Liu, Yongxin Han, and Mingwu Jin, “Fast alternating projection methods for constrained tomographic reconstruction,” PLoS ONE 12(3): e0172938. https://doi.org/10.1371/journal.pone.0172938, 2017.
  24. Faraz Kalantari, Tianfang Li, Mingwu Jin, and Jing Wang “Respiratory motion correction in 4D-PET by simultaneous motion estimation and image reconstruction (SMEIR)”, 61(15):5639-61, Phys. Med. Biol., 2016.
  25. Li Liu, Weikai Lin, Jing Pan, and Mingwu Jin, “X-ray computed tomography using sparsity based regularization,” Nerocomputing, 173, pp 256-269, 2016.
  26. Li Liu, Weikai Lin, and Mingwu Jin, “Reconstruction of limited-projection-view X-ray computed tomography using adaptive iterative algorithms,” computers in Biology and Medicine, 56, pp 97-106, 2015.
  27. Mingwu Jin, Xiaofeng Niu, Wenyuan Qi, Yongyi Yang, Joyoni Dey, Michael A. King, Seth Dahlberg, and Miles N. Wernick, “4D reconstruction for low-dose cardiac gated SPECT,” Med. Phys. 40, 0225011(12pp), 2013.
  28. Dietmar Cordes, Mingwu Jin, Tim Curran, and Rajesh Nandy, “The smoothing artifact of spatially constrained canonical correlation analysis in functional MRI,” International Journal of Biomedical Imaging 2012 (2012), doi:10.1155/2012/738283
  29. Mingwu Jin, Rajesh Nandy, and Dietmar Cordes, “Fast constrained canonical correlation analhysis for fMRI,” Visualization, Image Processing and Computation in Biomedicine, 2012; 1(1) DOI: 10.1615/.2012004964.
  30. Mingwu Jin, Guiyang Hao, Xiankai Sun, and Wei Chen, “Nanoparticle-based PET and SPECT imaging of cancer,” Reviews in Nanoscience and Nanotechology, 2012 Mar.; 1(1): 3-21.
  31. Grit Herzmann, Mingwu Jin, Dietmar Cordes, and Tim Curran, “A within-subject ERP and fMRI investigation of familiarity and recollection of pictures and their orientations,” Cogn. Neurosci. 2012 Sep 1;3(3-4):174-192.
  32. Mingwu Jin, Victoria Pelak, Tim Curran, Rajesh Nandy, and Dietmar Cordes, “A preliminary study of functional abnormalities in aMCI subjects during different episodic memory tasks,”Magn Reson Imaging. 2012 May;30(4):459-70.
  33. Dietmar Cordes, Mingwu Jin, Tim Curran, and Rajesh Nandy, “Optimizing the Performance of Local Canonical Correlation Analysis in fMRI using Spatial Constraints,” Hum Brain Mapp. 2012 Nov;33(11):2611-26.
  34. Mingwu Jin, Victoria Pelak, and Dietmar Cordes, “Aberrant default mode network activations in amnestic mild cognitive impairment subjects using resting-state fMRI,” Magn Reson Imaging. 2012 Jan;30(1):48-61.
  35. Mingwu Jin, Rajesh Nandy, Tim Curran, and Dietmar Cordes, “Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data,” International Journal of Biomedical Imaging, 2012; doi:10.1155/2012/574971.
  36. Xiaofeng Niu, Yongyi Yang, Mingwu Jin, Miles Wernick, and Michael King, “Effects of motion, attenuation, and scatter corrections on gated cardiac SPECT reconstruction,” Med Phys. 2011 Dec;38(12):6571.
  37. Xiaofeng Niu, Yongyi Yang, Mingwu Jin, Miles N. Wernick, and Michael A. King, “Regularized fully 5D reconstruction of cardiac gated dynamic SPECT images,” IEEE Trans. Nuclear Medicine, vol 57, pp 1085-1095, 2010.
  38. Mingwu Jin, Yongyi Yang, Xiaofeng Niu, Thibault Marin, Jovan G. Brankov, Bing Feng, Hendrik P. Pretorius, and Michael A. King, Miles N. Wernick, “A quantitative evaluation study of four-dimensional gated cardiac SPECT reconstruction,” Physics in Medicine and Biology, vol 54, pp 5643-5659, 2009.
  39. Erwan Gravier, Yongyi Yang, and Mingwu Jin, “Tomographic reconstruction of dynamic cardiac image sequences,” IEEE Trans. Image Processing, vol. 16, pp 932-942, 2007.
  40. Erwan Gravier, Yongyi Yang, Michael A. King, and Mingwu Jin, “Fully 4D Motion-compensated reconstruction of cardiac SPECT Images,” Physics in Medicine and Biology, vol. 51, pp 4603-4619, 2006.
  41. Mingwu Jin, Yongyi Yang, and Michael A. King, “Reconstruction of dynamic gated cardiac SPECT,” Medical Physics, vol. 33, Issue 11, pp. 4384-4394, 2006.

Peer-reviewed conference papers:

  1. Zigen Song, Melinda Baxter, Mingwu Jin, Jian-Xiong Wang, Rencang Li, and Jianzhong Su, “Sparse Sampling and Fully-3D Fast Total Variation based Imaging Reconstruction for Chemical Shift Imaging in Magnetic Resonance Spectroscopy,” International Conferences on Brain Informatics, 2018 Dec. pp 479-485.
  2. Cong Zhao, Yuncheng Zhong, Jing Wang, and Mingwu Jin, “Modified simultaneous motion estimation and image reconstruction (M-SMEIR) for 4D CBCT,” Biomedical Imaging: From Nano to Macro, 15th IEEE International Symposium on (ISBI), 10.1109/ISBI.2018.8363588, 2018.
  3. Mingwu Jin, Tim Curran, and Dietmar Cordes, “CLASSIFICATION OF AMNESTIC MILD COGNITIVE IMPAIRMENT USING FMRI,” Biomedical Imaging: From Nano to Macro, 11th IEEE International Symposium on (ISBI), pp 29-32, 2014.
  4. Mingwu Jin, Xiaofeng Niu, Wenyuan Qi, Yongyi Yang, Miles N. Wernick, and Michael A. King, “Utility of 4D reconstruction for low-dose cardiac gated SPECT,” Biomedical Imaging: From Nano to Macro, 9th IEEE International Symposium on (ISBI), pp 660-663, 2012.
  5. Xiaofeng Niu, Yongyi Yang, and Mingwu Jin, “Gated dynamic image reconstruction using temporal B-splines,” IEEE International Conference on Image Processing (ICIP), pp 625-628, 2010.
  6. Xiaofeng Niu, Yongyi Yang, and Mingwu Jin, “Detectability of perfusion defect in gated dynamic reconstruction images using temporal B-splines,” the 9th IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), pp 121-124, 2010.
  7. Xiaofeng Niu, Yongyi Yang, and Mingwu Jin, “Fully 5D reconstruction of gated dynamic cardiac SPECT images using temporal B-splines,” Biomedical Imaging: From Nano to Macro, 7th IEEE International Symposium on (ISBI), pp 460-463, 2010.
  8. Xiaofeng Niu, Yongyi Yang, and Mingwu Jin, “Reconstruction of gated cardiac SPECT using DFT basis,” Proceedings of 41th Asilomar Conference on Signals, Systems and Computers, pp 756-760, 2007.
  9. Mingwu Jin, Yongyi Yang, and Miles N. Wernick, “Dynamic Image Reconstruction using Temporally Adaptive Regularization for Emission Tomography,” IEEE International Conference on Image Processing (ICIP), IV pp 141-144, 2007.
  10. Yongyi Yang and Mingwu Jin, “Adaptive regularization using B-splines for gated dynamic cardiac SPECT,” Biomedical Imaging: From Nano to Macro, 4th IEEE International Symposium on (ISBI), pp 544-547, 2007.
  11. Mingwu Jin, Yongyi Yang, Jovan G. Brankov, Miles N. Wernick, Bing Feng, and Michael A. King, “Four-dimensional reconstruction of gated cardiac SPECT with attenuation and scatter compensation,” Biomedical Imaging: From Nano to Macro,  4th IEEE International Symposium on (ISBI), pp 169-172, 2007.
  12. Mingwu Jin, Miles N. Wernick, Jovan G. Brankov, Yongyi Yang, Erwan Gravier, Bing Feng, and Michael A. King, “5D image reconstruction for tomographic image sequences,” Proceedings of 40th Asilomar Conference on Signals, Systems and Computers, pp 1973-1977, 2006.
  13. Mingwu Jin, Yongyi Yang, Miles N. Wernick and Michael A. King, “Motion-compensated dynamic image reconstruction for gated cardiac SPECT,” Biomedical Imaging: From Nano to Macro, 2006. 3rd IEEE International Symposium on (ISBI), pp 267 – 270, 2006.
  14. Mingwu Jin, Yongyi Yang, and Miles N. Wernick, “Reconstruction of cardiac-gated dynamic SPECT images,” IEEE International Conference on Image Processing (ICIP), vol. 3, pp 752-755, 2005.

Book and book chapter

  1. Yue Deng, Qingyu, Zhu, Cissi Y. Lin, Mingwu Jin, Chaoqun Liu, and Chen Sheng, “Electric field variability and impact on the ionosphere-thermosphere,” Book title “Cross-Scale Coupling and Energy Transfer in the Magnetosphere–Ionosphere–Thermosphere System”, Elsevier publication, Submitted, 2021.
  2. Zhengrong Zhang, Mingwu Jin, and Yiping Wang, “Principles of MCS-51 Single-Chip Microcomputer and Applications,” (in Chinese) ISBN 7-115-08638-9, People’s Posts & Telecommunications Publishing House, Beijing, China, Aug. 2000.

Patents:

  1. Daoheng Yu, Yonghong Dong, and Mingwu Jin, “The high speed random code generator,” patent no. 00239227.5, China, Feb. 24, 2001.
  2. Daoheng Yu, Yonghong Dong, and Mingwu Jin, “The digital simulator of radar echo signal,” patent no. 00236477.8, China, Jun. 09, 2001.

ISMRM abstracts

  1. Alberto De Luca, Andrada Ianus,  Alexander Leemans,  Marco Palombo,  Noam Shemesh,  Hui Zhang,  Daniel C Alexander,  Markus Nilsson,  Martijn Froeling,  Geert-Jan Biessels, MD,  Mauro Zucchelli,  Matteo Frigo,  Enes Albay; Sara Sedlar; Abib Alimi,  Samuel Deslauriers-Gauthier,  Rachid Deriche,  Rutger Fick,  Maryam Afzali,  Tomasz Pieciak,  Fabian Bogusz, Santiago Aja-Fernandez,  Evren Özarslan,  Derek K Jones,  Haoze Chan, Mingwu Jin, Zhijie Zhang, Fengxiang Wang; Vishwesh Nath,  Prasanna Parvathaneni,  Jan Morez, Jan Sijbers,  Ben Jeurissen,  Shreyas Fadnavis, Stefan Endres, Ariel Rokem,  Eleftherios Garyfallidis,  Irina Sanchez, Vesna Prchkovska, Paulo Rodrigues, Bennet A Landman,  Kurt G Schilling, “On the generalizability of diffusion MRI signal representations across acquisition parameters, encoding and tissue types: chronicles of the MEMENTO challenge,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 29, 1289, 2021.
  2. Mingwu Jin, Xiaowei Zhuang, Tim Curran, and Dietmar Cordes, “Feature selection and classification of aMCI subjects using local fMRI activation patterns,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 24, 1731, 2016.
  3. Mingwu Jin, Victoria Pelak, Tim Curran, Rajesh Nandy, and Dietmar Cordes, “Altered medial temporal lobe activations in aMCI subjects during encoding and recognition tasks,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 19, 4156, 2011.
  4. Mingwu Jin, Victoria Pelak, and Dietmar Cordes, “Aberrant resting-state activity in default mode network of subjects with amnestic mild cognitive impairment,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 19, 4157, 2011.
  5. Mingwu Jin, Rajesh Nandy, and Dietmar Cordes, “Investigation of efficient implementation of local constrained canonical correlation analysis for fMRI,”  In Proc. Intl. Soc. Mag. Reson. Med, vol. 19, 1614, 2011.
  6. Dietmar Cordes, Mingwu Jin, Tim Curran, Victoria Pelak, Rajesh Nandy, and “Discriminant analysis and prediction of aMCI subjects and normal controls using encoding and recognition fMRI tasks,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 19, 3661, 2011.
  7. Dietmar Cordes, Rajesh Nandy, Mingwu Jin, Tim Curran, “The Bleeding Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 19, 1613, 2011.
  1. Mingwu Jin, Victoria Pelak, Tim Curran, Marie Banich, Rajesh Nandy, and Dietmar Cordes, “Differences of Functional Activation Patterns between Subjects with Mild Cognitive Impairment and Normal Subjects,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 18, 2294, 2010.
  2. Dietmar Cordes, Rajesh Nandy, and Mingwu Jin, “Constrained CCA with Different Novel Linear and a Nonlinear Constraint in fMRI,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 18, 1151, 2010.
  3. Mingwu Jin, Rajesh Nandy, and Dietmar Cordes, “A Novel Test Statistic allowing a General Linear Contrast Vector for Local Canonical Correlation Analysis in fMRI,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 17, 1713 2009.
  4. Mingwu Jin, Rajesh Nandy, and Dietmar Cordes, “Two Local Constrained Canonical Correlation Analysis Methods for fMRI,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 17, 1708, 2009.
  5. Mingwu Jin, Rajesh Nandy, and Dietmar Cordes, “Effectiveness of Gaussian Smoothing on Spatially Correlated Noise: A 3T Case Analysis,” In Proc. Intl. Soc. Mag. Reson. Med, vol. 17, 1709, 2009.

Conference papers:

  1. Shiwei Zhou, Lifeng Yu, and Mingwu Jin, “Low-Dose CT Image Enhancement Through a Texture Transformer,” IEEE Nuclear Science Symposium and Medical Imaging Conference, accepted, 2021.
  2. Jinyu Yang, Shiwei Zhou, Chunyuan Li, Lifeng Yu, Junzhou Huang and Mingwu Jin, “A Spatiotemporal Unpaired Deep Learning Method for Low-Dose Cardiac CT Image Denoising,” IEEE Nuclear Science Symposium and Medical Imaging Conference, accepted, 2021.
  3. Mingwu Jin, Yujie Chi, and Yiping Shao, “1D and 3D Prompt Gamma Imaging for Dose Monitoring of Particle Therapy,” IEEE Nuclear Science Symposium and Medical Imaging Conference, 1368, 2020.
  4. Shiwei Zhou, Lifeng Yu, and Mingwu Jin, “Supervised and Unsupervised Deep Learning Methods for Low-Dose CT Image Denoising,” IEEE Nuclear Science Symposium and Medical Imaging Conference, 2102, 2020.
  5. Donghyun Kim, Jaehoon Yu, and Mingwu Jin, “Position Resolved Beta Particle Detection Using GEM,” IEEE Nuclear Science Symposium and Medical Imaging Conference, 1630, 2020.
  6. Youfang Lai, Qian Wang, Shiwei Zhou, Zhaohen Xie, Jinyi Qi, Simon R. Cherry, Mingwu Jin, Yujie Chi, and Junwei Du, “A 0.5 mm-Resolution Total-Body Small-Animal PET Scanner: A Simulation Study,” IEEE Nuclear Science Symposium and Medical Imaging Conference, 1394, 2020.
  7. Ananta Raj Chalise, Yujie Chi, Youfang Lai, Yiping Shao, and Mingwu Jin, “Monte Carlo Simulation Study of Annihilation Gamma Yield from C-11 and C-12 Irradiation in Water and PMMA Phantoms.” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-01-085, 2019.
  8. Donghyun Kim, Jaehoon Yu, Yujie Chi and Mingwu Jin, “Development of a Portable Beta Particle Detector for Precision Cancer Detection Using GEM.” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-01-040, 2019.
  9. Youfang Lai, Yuncheng Zhong, Ananta Chalise, Shiwei Zhou, Yiping Shao, Mingwu Jin, Xun Jia, and Yujie Chi, “Development of a GPU-Based Mont Carlo Simulation Tool for PET.” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-01-070, 2019.
  10. Shiwei Zhou, Yujie Chi, Jing Wang and Mingwu Jin, “4D Reconstruction with Projection and Image Domain Motion Estimation.” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-01-238, 2019.
  11. Zeheng Li, Junzhou Huang, Lifeng Yu, Yujie Chi and Mingwu Jin, “Low-Dose CT Image Denoising Using Cycle-Consistent Adversarial Networks.” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-018-03, 2019.
  12. Thomas Bates, Kien Nham, Albert Nataneli, Yibao Wu, Yujie Chi, Farhad Daghighian, and Mingwu Jin, “Benchmark Evaluation of a Hand-Held Beta Camera,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-07-122, 2018.
  13. V. A. Chirayath, H. Arya, M. Jin, A. H. Weiss, G. Glass, Y. Chi, “Design of an electrostatic quadruple quadruplet focusing lens system for a low MeV multi-ion micro-beam,” The Conference on Application of Accelerators in Research and Industry (CAARI – 2018).
  14. Mingwu Jin, Cong Zhao, Xun Jia, and Lifeng Yu, “Motion-compensated reconstruction for limited-angle multiphase cardiac CT,” 10573-110 (8 pages), SPIE Medical Imaging 2018.
  15. Cong Zhao, Yuncheng Zhong, Jing Wang, and Mingwu Jin, “Simultaneous Dose Reduction and Scatter Correction for 4D Cone-Beam Computed Tomography,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-16-6, 2017.
  16. Cong Zhao, Xi Chen, Luo Ouyang, Jing Wang, and Mingwu Jin, “Robust Estimation of Scatter and Primary Signals using Multi-View Information for Moving Blocker-Based Cone-Beam Computed Tomography,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M-03-059, 2017.
  17. Mingwu Jin, Faraz Kalantari, Jing Wang and Michael A. King, “Respiratory Motion Matched Attenuation Correction for Dual Gated Cardiac SPECT,” Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, pp 120-124, 2017.
  18. Cong Zhao, Luo Ouyang, Jing Wang, and Mingwu Jin, “Multi-view scatter estimation for moving blocker scatter correction of CBCT,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M10D-12, 2016.
  19. Bright Izudike, Jaehoon Yu, Wei Chen, Xiankai Sun, Glen Balch, and Mingwu Jin, “Feasibility Study of Direct Beta Particle Detection Using Gas Electron Multiplier,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M13B-5, 2016.
  20. Mingwu Jin, Jaehoon Yu, Wei Chen, Guiyang Hao, Xiankai Sun, and Glen Balch, “Spatial Denoising Methods for Low Count Functional Images” IEEE Nuclear Science Symposium and Medical Imaging Conference, M5DP-236, 2015.
  21. Cong Zhao, Luo Ouyang, Jing Wang, and Mingwu Jin “Blind Deconvolution for Blocker-Based Scatter Correction of CBCT” IEEE Nuclear Science Symposium and Medical Imaging Conference, M3CP-209, 2015.
  22. Li Liu, Yongxin Han, and Mingwu Jin, “Projection onto convex sets for constrained iterative image reconstruction,” Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, pp 606-609, 2015.
  23. Li Liu, Weikai Lin, and Mingwu Jin, “Automatic parameter tuning for X-ray computed tomography reconstruction,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M18-106, 2014.
  24. Mingwu Jin, Cong Zhao, Jaehoon Yu, Wei Chen, Guiyang Hao, Xiankai Sun, and Glen Balch, “Spatial and temporal processing for functional imaging probes,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M10-66, 2014.
  25. Mingwu Jin, Cong Zhao, Jaehoon Yu, Wei Chen, Guiyang Hao, and Xiankai Sun, “Acceleration of the Acquisition of Imaging Probes using Spatiotemporal Processing,” IEEE Nuclear Science Symposium and Medical Imaging Conference, M18-46, 2013.
  26. Jovan G. Brankov, Ricard Delgado, Yongyi Yang, Mingwu Jin, and Miles N. Wernick, “Progress in mesh based spatio-temporal reconstruction,” 20th Annual IS&T/SPIE Symposium on Electronic Imaging, Computational Imaging VI, pp 68140V1-9, 2008.
  27. Mingwu Jin, Yongyi Yang, Jovan G. Brankov, Miles N. Wernick, Bing Feng, Hendrik P. Pretorius, and Michael A. King, “Four-dimensional gated cardiac SPECT reconstruction and evaluation study,” IEEE Nuclear Science Symposium Conference Record (NSS-MIC), Vol. 5, pp 3894-3897, 2007.
  28. Mingwu Jin and Yongyi Yang, “Regularized reconstruction of dynamic gated cardiac SPECT images,” 19th Annual IS&T/SPIE Symposium on Electronic Imaging, Computational Imaging V, pp 6498-6505, 2007.
  29. Mingwu Jin, Yongyi Yang, Miles N. Wernick, and Michael A. King, “Fast dynamic image reconstruction for dynamic gated cardiac SPECT,” IEEE Nuclear Science Symposium Conference Record (NSS-MIC), pp 2281-2284, 2006.
  30. Mingwu Jin, Yongyi Yang, Miles N. Wernick, and Michael A. King, “Fully 5D reconstruction of gated dynamic cardiac SPECT images,” IEEE Nuclear Science Symposium Conference Record (NSS-MIC), pp 3445-3448, 2006 (Best Student Paper Award).
  31. Mingwu Jin, Yongyi Yang, Miles N. Wernick and Michael A. King, “Reconstruction of dynamic gated cardiac SPECT,” IEEE Nuclear Science Symposium Conference Record (NSS-MIC), pp 2342-2345, 2005.
  32. Mingwu Jin, Daoheng Yu, and Yonghong Dong, “The generation and analysis of high speed random code sequence,” (in Chinese) the 4th Academic Conference, Information processing Major of Chinese Aeronautics Academy, pp 397-400, China, 2000.
  33. Mingjuan Tan, Mingwu Jin, and Tao Dong “Application of SpecctraAquest in high speed system design,” (in Chinese) Cadence Successful Users’ Symposium, China, 2000.