BMIPL members indicated in bold (since 2013)

2020

Journal

• K Y Kim, S Soltanayev, S Y Chun, “Unsupervised Training Of Deep Low-Dose CT Reconstruction Without Full-Dose CT Images,” Accepted to IEEE Journal of Selected Topics in Signal Processing 2020.
• S Y Chun, M P Nguyen, T Q Phan, H V Kim, J A Fessler, Y K Dewaraja, “Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT,” IEEE Transactions on Medical Imaging 39(5):1369-79, May 2020.

Top Machine Learning/Computer Vision/Robotics Conference

• D W Park¹, D U Kang¹, J S Kim, S Y Chun, “Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training,” Accepted to European Conference on Computer Vision (ECCV) 2020. (was arXiv:1911.07410 [cs.CV]) (¹: Co-First Authors) (Spotlight, top 5% of submissions)
• D W Park¹, Y H Seo¹, D J Shin, J S Choi, S Y Chun, “A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection,” Accepted to International Conference on Robotics and Automation (ICRA) 2020. (was arXiv:1909.07050 [cs.CV]) (¹: Co-First Authors)
• D W Park, Y H Seo, S Y Chun, “Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module,” Accepted to International Conference on Robotics and Automation (ICRA) 2020. (was arXiv:1812.07762 [cs.CV])

Conference

• H V Kim¹, D U Kang¹, S Y Chun, “Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-AMP For Undersampled Real MR Measurements,” Accepted to IEEE International Symposium on Biomedical Imaging (ISBI) Workshops Abstract 2020. (¹: Co-First Authors)
• A Lugmayr et al. (including Y H Seo, S Y Chun), “NTIRE 2020 Challenge on Real-World Image Super- Resolution: Methods and Results,” Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2020.
• S Soltanayev, R Giryes, S Y Chun, Y Eldar, “On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein’s Unbiased Risk Estimator,” Accepted to IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020.

Technical Report

• K Y Kim, D W Park, K I Kim, S Y Chun, “Task-Aware Variational Adversarial Active Learning,” arXiv:2002.04709 [cs.LG], Feb 2020. http://arxiv.org/abs/2002.04709

2019

Journal

• H V Kim, S Y Chun, “Cancelable Electrocardiogram Biometrics using Compressive Sensing – Generalized Likelihood Ratio Test,” IEEE Access 7:9232-9242, 2019.

Top Machine Learning/Computer Vision Conference

• M Zhussip, S Soltanayev, S Y Chun, “Extending Stein’s unbiased risk estimator to train deep denoisers with correlated pairs of noisy images,” Accepted to Advances in Neural Information Processing Systems (NeurIPS) 2019. (was arXiv:1902.02452 [cs.CV])
• M Zhussip, S Soltanayev, S Y Chun, “Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 10247-56, Jun 2019. (was arXiv:1806.00961v2 [cs.CV])

Conference

• M Zhussip, S Soltanayev, S Y Chun, “Unsupervised learning of denoisers with compressive sensing measurements,” Accepted to IEEE International Conference on Computer Vision (ICCV) Learning for Computational Imaging (LCI) Workshop 2019.
• W J Hong, H V Kim, S Y Chun, “T-wave embeddings for enhancing the performance of deep neural network based ECG user identifications,” Accepted to Korean Signal Processing Conference (KSPC) 2019.
• J S Kim, H V Kim, S Y Chun, “Self-supervised QRS complex detection for ECG preprocessing,” Accepted to Korean Signal Processing Conference (KSPC) 2019.
• H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, “Joint Spectral Reconstruction for Y90 Bremsstrahlung SPECT using Guided Filtering,” Journal of Nuclear Medicine Meeting Abstracts 60(Supp 1):43, Jun 2019. (oral presentation)
• H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, “On Enhancing Monte‐Carlo Scatter Correction for Y90 Bremsstrahlung SPECT using Guided Filtering,” Journal of Nuclear Medicine Meeting Abstracts 60(Supp 1):1348, Jun 2019. (2nd Place Poster Award on Physics, Instrumentation and Data Sciences)
• S Nah et al. (including D W Park, J S Kim, S Y Chun), “NTIRE 2019 Challenge on Video Deblurring: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 1974-84, Jun 2019. (Honorable Mention Award for CVPR’19 NTIRE Challenge on Video Deblurring)
• S Nah et al. (including K Y Kim, D U Kang, S Y Chun), “NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 1985-95, Jun 2019.
• A Abdelhamed et al. (including M Zhussip, D W Park, S Soltanayev, S Y Chun), “NTIRE 2019 Challenge on Real Image Denoising: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 2197-210, Jun 2019. (Runner-Up Award for CVPR’19 NTIRE Challenge on Real Image Denoising)
• J Cai et al. (including D W Park, S Y Chun), “NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 2211-223, Jun 2019. (Winner Award for CVPR’19 NTIRE Challenge on Real Image Super-Resolution)
• A Ignatov et al. (including D W Park, S Y Chun), “NTIRE 2019 Challenge on Image Enhancement: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 2224-32, Jun 2019. (Runner-Up Award for CVPR’19 NTIRE Challenge on Image Enhancement)
• C O Ancuti et al. (including D W Park, S Y Chun), “NTIRE 2019 Image Dehazing Challenge Report,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 2241-53, Jun 2019. (Runner-Up Award for CVPR’19 NTIRE Challenge on Image Dehazing)
• W J Hong, S Y Chun, “Multiscale Image Segmentation for Skin Lesion Separation,” Workshop on Image Processing and Image Understanding (IPIU), Feb 2019.
• J S Kim, H J Jang, K G Lee, G H Lee, S Y Chun, W K Jeong, “Investigation on Data Balancing for Effective Deep Learning Training on Pathology Image,” Workshop on Image Processing and Image Understanding (IPIU), Feb 2019.

Technical Report

• B H Lee, S Y Chun, “Accelerating Optimization Algorithms With Dynamic Parameter Selections Using Convolutional Neural Networks For Inverse Problems In Image Processing,” arXiv:1902.02449v2 [cs.LG], Nov 2019. https://arxiv.org/abs/1902.02449
• D W Park, Y H Seo, S Y Chun, “Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Networks with High-Resolution Images,” arXiv:1809.05828 [cs.CV], Sep. 2018. http://arxiv.org/abs/1809.05828 (This work was superceded by arXiv:1812.07762)
• D W Park¹, J S Kim¹, S Y Chun, “Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring,” arXiv:1903.10157 [cs.CV], Mar. 2019. (¹: Co-First Authors) https://arxiv.org/abs/1903.10157
• S Soltanayev, S Y Chun, “Training and Refining Deep Learning Based Denoisers without Ground Truth Data,” arXiv:1803.01314 [cs.CV], Mar. 2019. https://arxiv.org/abs/1803.01314

Patent

• S Y Chun, D W Park, Y H Seo, “Rotation Ensemble Module in Deep Neural Network for Rotation Invariant Robotic Grasp Detection,” Korea Patent Pending, 2019.
• H J Cho, H Lee, S Y Chun, J H Lee, “Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T,” Korea Patent Granted (10-2025356), 2019.
• S P Kim, S Y Chun, J H Kang, H V Kim, H K Hong, Y C Jo, “Personal authentication using biometrics integrating electrocardiography and multispectral photodiode matrix,” Korea Patent Granted (10-2017749), 2019.
• S Y Chun, “Simple QT interval correction model and robust / fast GLRT based ECG authentication considering heart rate variation,” Korea Patent Granted (10-2008910), 2019.
• S Y Chun, D W Park, Y H Seo, “Machine-learning based robot-vision calibration methods for robotic grasping,” Korea Patent Pending, 2019.

2018

Journal

• H V Kim¹, H N Kim¹, S Y Chun, J H Kang, I Oakley, Y R Lee, J O Ryu, M J Kim, I K Park, H K Hong, Y C Jo*, S P Kim*, “A Wearable Wrist Band-type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors,” Sensors 18(8):2738, Aug 2018. (¹: Co-First Authors, *: Co-Corresponding Authors)
• K Shin, H Kim, S Y Chun, D H Shin, “TVWS Assisted Performance Anomaly Mitigation Exploiting Spectrum Heterogeneity,” Computer Networks 141:128-44, Aug 2018.
• H Lee, S Baek, S Y Chun, J H Lee, H J Cho, “Specific visualization of iron-clustered neuromelanin and tissue iron in the human post-mortem substantia nigra using MR relaxometry at 7T,” NeuroImage 172:874-85, May 2018.

Top Machine Learning/Computer Vision Conference

• S Soltanayev, S Y Chun, “Training Deep Learning based Denoisers without Ground Truth Data,” Annual Conference on Neural Information Processing Systems (NIPS, NeurIPS) pp. 3261-3271, Dec 2018. (was arXiv:1803.01314v2 [cs.CV]) [Paper] [Sample Code]

Conference

• S Y Chun, H Lim, J A Fessler, Y K Dewaraja, “On Parameter Selection for Joint Spectral Reconstruction in Y90 SPECT,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) pp. 1-4, Nov 2018.
• R Timofte et al. (including D W Park, K Y Kim, S Y Chun), “NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 965-976, Jun 2018.
• D W Park¹, K Y Kim¹, S Y Chun, “Efficient Module Based Single Image Super Resolution for Multiple Problems,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 995-1003, Jun 2018. (¹: Co-First Authors, oral presentation, The 3rd place for CVPR’18 NTIRE Challenge on Single Image Super Resolution Tracks 2,3, &4 : Realistic, Honorable Mention for Track 1 : Classic Bicubic)
• H Lee, S Y Baek, S Y Chun, J H Lee, H J Cho, “MR imaging of neuromelanin-iron cluster within human postmortem substantia nigra,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 423, Jun 2018. (oral presentation, magna cum laude)

Technical Report

• K Y Kim, S Y Chun, “SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network,” arXiv:1812.07174 [cs.CV], Dec. 2018. https://arxiv.org/abs/1812.07174
• D W Park, S Y Chun, “Classification based Grasp Detection using Spatial Transformer Network,” arXiv:1803.01356 [cs.CV], Mar. 2018. https://arxiv.org/abs/1803.01356

Patent

• H J Cho, H Lee, S Y Chun, J H Lee, “Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T,” PCT Patent Pending, 2018.
• S Y Chun, S P Kim, “User Authentication Information Based Guided Filtering Method for Single Pulse ECG User Authentication,” Korea Patent Granted (10-1863840), 2018.
• S Y Chun, S P Kim, H V Kim, “Construction Method of Irreversible Guide Signal from User Authentication Information for Guide Filtering,” Korea Patent Granted (10-1865263), 2018.

2017

Journal

• Y K Dewaraja, S Y Chun, R N Srinivasa, R K Kaza, K C Cuneo, B S Majdalany, P M Novelli, M Ljungberg, J A Fessler, “Improved quantitative Y-90 bremsstrahlung SPECT reconstruction with Monte Carlo scatter modeling,” Medical Physics 44(12):6364-76, Dec. 2017.
• M Kim, H Lee, H J Cho, S Y Chun, J H Shin, E J Kim, J W Ahn, G Y Huh, S Y Baek, J H Lee, “Pathologic Correlation of Paramagnetic White Matter Lesions in Adult-Onset Leukoencephalopathy With Axonal Spheroids and Pigmented Glia,” Journal of Neuropathology & Experimental Neurology 76(11):924-8, Nov 2017.
• M P Nguyen, S Y Chun, “Bounded Self-Weights Estimation Method for Non-Local Means Image Denoising using Minimax Estimators,” IEEE Transactions on Image Processing 26(4):1637-1649, Apr 2017.

Conference

• H V Kim, M P Nguyen, S Y Chun, “Cancelable ECG Biometrics using GLRT and Performance Improvement using Guided Filter with Irreversible Guide Signal,” IEEE Engineering in Medicine and Biology Society (EMBC) pp. 454-7, Jul. 2017.
• S Y Chun, “Spatial resolution properties of QSM images using MEDI algorithm,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 1461, Apr 2017.
• H Lee, S Y Chun, J-H Lee, S-Y Baek, H J Cho, “Correlations of SWI, QSM, and R2* map with neuromelanin and iron distributions from post-mortem human substantia nigra samples,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 3661, Apr 2017.
• H Lee, M Kim, H J Cho, S Y Chun, G Y Huh, E-J Kim, J-H Lee, “Susceptibility-related phase contrast associated with the alterations of myelo- architecture in adult-onset leukoencephalopathy with neuroaxonal spheroids and pigmented glia,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 4162, Apr Jan 2017.
• H V Kim, S Y Chun, “Dynamic PET denoising using Robust PCA,” International Forum on Medical Imaging in Asia (IFMIA) pp. 150-1, 2017.
• T Q Phan, S Y Chun, “Towards Good Features for Skin Cancer Classification,” International Forum on Medical Imaging in Asia (IFMIA) pp. 106-7, Jan 2017. (oral presentation)

2016

Journal

• J H Lee¹, S Y Baek¹, Y K Song, S Lim, H Lee, M P Nguyen, E J Kim, G Y Huh, S Y Chun*, H J Cho*, “The Neuromelanin-related T2* Contrast in Postmortem Human Substantia Nigra with 7T MRI,” Scientific Reports, 6, 32647, Sep 2016. (¹: Co-First Authors, *: Co-Corresponding Authors)
• S Y Chun, “The Use of Anatomical Information for Molecular Image Reconstruction: Attenuation / Scatter Correction, Motion Compensation, and Noise Reduction,” Nucl Med Mol Imaging, 50(1):13-23, Feb 2016. (Invited Paper).

Conference

• S Y Chun, “Small Scale Single Pulse ECG-based Authentication using GLRT that Considers T Wave Shift and Adaptive Template Update with Prior Information,” IAPR International Conference on Pattern Recognition (ICPR) pp. 3038-43, Dec 2016.
• S Y Chun, J-H Kang, H V Kim, C Lee, I Oakley, S-P Kim, “ECG based User Authentication for Wearable Devices using Short Time Fourier Transform,” IEEE International Conference on Telecommunications and Signal Processing pp. 656-9, Jun 2016.
• S Y Chun, “Single Pulse ECG-based Small Scale User Authentication using Guided Filtering,” IAPR International Conference on Biometrics (ICB), pp. 1-7, Jun 2016. (oral presentation, acceptance rate 34.4%)
• H V Kim, S Y Chun,“ECG-based User Authentication using Time-Varying Power Spectral Density and Auto Regressive Model,” Korean Society of Medical & Biological Engineering Spring Conference, May 2016.
• M P Nguyen, S Y Chun, “Center Pixel Weight Estimation for Non-Local Means Filtering using Local James-Stein Estimator with Bounded Self-Weights,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 82-85, Apr 2016.
• S Y Chun, K Y Kim, J S Lee, J A Fessler, “Joint Estimation of Activity Distribution and Attenuation Map for TOF-PET using Alternating Direction Method of Multiplier,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 86-89, Apr 2016.
• J H Lee, S Y Baek, Y K Song, S Lim, H Lee, M P Nguyen, E J Kim, G Y Huh, S Y Chun, H J Cho, “Comparison Study between T2*, Quantitative Susceptibility Mapping, and Histology for Postmortem Human Substantia Nigra,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 3661, Apr 2016.
• H V Kim, M P Nguyen, S Y Chun, “ECG-Authentication using B-spline Signal Model,” HCI Korea, Jan 2016.

2015

Conference

• K Shin, H Kim, S Y Chun, D H Shin, “Wi-Fi and Super Wi-Fi Co-location for Exploiting Spectrum Heterogeneity,” Proc. International Conference on Information and Communications Technology Convergence (ICTC), pp. 674-679, Oct 2015. (Invited Paper)
• M P Nguyen, H V Kim, S Y Chun, J A Fessler, Y K Dewaraja, “Joint Spectral Image Reconstruction for Y-90 SPECT with Multi-Window Acquisition,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), pp. 1-4, Nov. 2015.
• S Y Chun, “Iterative Guided Image Filtering for Multimodal Medical Imaging,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) pp. 1-4, Nov 2015.
• D Hwang, K Y Kim, H J An, S Y Chun, J S Lee, “Evaluation of Non-Local Means Filters for Resolution Recovery Reconstruction,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Nov 2015.
• S Y Chun, “Importance of Image Registration for Quantitative SPECT Imaging,” IEEE International Symposium on Biomedical Imaging (ISBI) Abstract, Apr 2015.
• M P Nguyen, S Y Chun, “A New Non-Local Means Filter with CT Side Information for SPECT,” IEEE International Symposium on Biomedical Imaging (ISBI) Abstract, Apr 2015.

2014

Journal

• S Y Chun, Y K Dewaraja, J A Fessler, “Alternating direction method of multiplier for tomography with non-local regularizers,” IEEE Transactions on Medical Imaging  33(10):1960-8, Oct 2014.
• M M Goodsitt, A Shenoy, J Shen, D Howard, M J Schipper, S Wilderman, E Christodoulou, S Y Chun, Y K Dewaraja, “Evaluation of dual energy quantitative CT for determining the spatial distributions of red marrow and bone for dosimetry in internal emitter radiation therapy,” Medical Physics 41(5):051901:1-12, May 2014.

Conference

• J Zheng, S Y Chun, J A Fessler, Y K Dewaraja, “Optimization and application of non-local means (NLM) filtering of SPECT/CT,” Journal of Nuclear Medicine Meeting Abstracts 55:542, May 2014.

2013

Journal

• J Ouyang, S Y Chun, Y Petibon, A A Bonab, N Alpert, G El Fakhri, “Bias atlases for segmentation-based PET attenuation correction using PET-CT and MR,” IEEE Transactions on Nuclear Science 60(5):3373-82, Oct 2013.
• S Y Chun, J A Fessler, Y K Dewaraja, “Post-reconstruction non-local means filtering methods using CT side information for quantitative SPECT,” Physics in Medicine and Biology 58(17):6225-40, Sep 2013.
• Y Petibon, J Ouyang, X Zhu, C Huang, T G Reese, S Y Chun, Q Li, G El Fakhri, “Cardiac motion compensation and resolution modeling in simultaneous PET-MR: a cardiac lesion detection study,” Physics in Medicine and Biology 58(7): 2085-2102, Mar 2013.
• S Y Chun, J A Fessler, Y K Dewaraja, “Correction for collimator-detector response in SPECT using point spread function template,” IEEE Transactions on Medical Imaging 32(2):295-305, Feb 2013.
• S Y Chun, J A Fessler, “Noise properties of tomographic motion-compensated image reconstruction methods,” IEEE Transactions on Medical Imaging 32(2):141-52, Feb 2013.

Conference

• S Y Chun, Y K Dewaraja, “Investigation on Parameter Selection of Non-Local Means Filters Using CT Side Information for Multiple I-131 SPECT Scans,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) pp. 1-4, Nov 2013.
• K Y Kim, S Y Chun, J S Lee, “Separable Footprint Method for Fully 3D PET Reconstruction with SIMD and SIMT,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Nov 2013.
• S Y Chun, Y K Dewaraja, J A Fessler, “Alternating direction method of multiplier for emission tomography with non-local regularizers,” International Meeting on Fully 3D Image Recon- struction in Radiology and Nuclear Medicine (Fully3D) pp. 62-5, Jun 2013.

2004-2012

Journal

• S Y Chun, T Reese, J Ouyang, B Guerin, C Catana, X Zhu, N Alpert, G El Fakhri, “MRI-based nonrigid motion correction in simultaneous PET/MRI,” Journal of Nuclear Medicine 53(8):1284-1291, Aug 2012. (Cover Article)
• S Y Chun, J A Fessler, “Spatial resolution properties of tomographic motion-compensated image reconstruction methods,” IEEE Transactions on Medical Imaging 31(7):1413-25, Jul 2012.
• B Guerin, S Cho, S Y Chun, X Zhu, N M Alpert, G El Fakhri, T Reese, C Catana, “Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged-MRI and PET imaging,” Medical Physics 38(6):3025-3038, Jun 2011.
• S Y Chun, J A Fessler, “A simple regularizer for B-spline nonrigid image registration that encourages local invertibility,” IEEE Journal of Selected Topics in Signal Processing 3(1):159-69, Feb 2009.

Book Chapter

• J E Huggins, B Graimann, S Y Chun , J A Fessler, S P Levine, “Electrocorticogram as a brain computer interface signal source,” Towards Brain-Computer Interfacing, G Dornhege, JdR Millan, T Hinterberger and D McFarland, KR Meuller, editor. MIT Press, Cambridge, pp. 129-46, Sep 2007.

Conference

• S Y Chun, J A Fessler, Y K Dewaraja, “Non-local means methods using CT side information for I-131 SPECT image reconstruction,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) pp. 3362-6, Nov 2012.
• S Y Chun, J A Fessler, “Fast variance image predictions for motion-compensated image reconstruction,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Nov 2012.
• Y K Dewaraja, P Roberson, N Clinthorne, S Y Chun, J A Fessler, MLjungberg, “Quantitative Bremsstrahlung SPECT/CT image reconstruction with patient specific Monte Carlo scatter compensation for Y-90 micro-sphere radioembolization (RE),” Journal of Nuclear Medicine Meeting Abstracts 53:444, May 2012.
• S Y Chun, J A Fessler, Y K Dewaraja, “Correction for collimator-detector response (CDR) in quantitative SPECT using point spread function (PSF) template approach,” Journal of Nuclear Medicine Meeting Abstracts 53:2365, May 2012.
• J Ouyang, S Y Chun, T Reese, C Catana, E Moussallem, N M Alpert, G El Fakhri, “Effect of MR-based non-rigid motion correction on lesion detection in simultaneous PET-MR,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Oct 2011.
• S Y Chun, E Moussallem, T Reese, B Guerin, C Catana, N M Alpert, and G El Fakhri, “In-vivo studies of tagged MR based PET motion correction in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 52:261, May 2011.
• J Ouyang, S Y Chun, and G El Fakhri, “MR-based attenuation correction for whole-body PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 52:260, May 2011.
• S Chun, T G Reese, B Guerin, C Catana, G El Fakhri, “In-vivo tagged MR-based motion correction in combined MR-PET,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 2674, May 2011.
• S Y Chun, J A Fessler, “Regularization design for isotropic spatial resolution in motion-compensated image reconstruction,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 1500-3, Mar 2011.
• S Y Chun, T Reese, B Guerin, X Zhu, C Catana, G El Fakhri, “Tagged MR based Respiratory Motion Correction in simultaneous PET-MR,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) PET-MR Workshop, Nov 2010.
• S Y Chun, T Reese, B Guerin, X Zhu, C Catana, G El Fakhri, “Improved lesion detection with B-spline nonrigid motion correction in simultaneous PET-MR,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Nov 2010. (MIC Trainee Award)
• J Ouyang, S Y Chun, C Catana, T Benner, G El Fakhri, “MR-based attenuation correction using clinical whole-body MR and PET/CT,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC) Abstract, Nov 2010.
• S Y Chun, T Reese, B Guerin, X Zhu, S Cho, J Ouyang, C Catana, G El Fakhri, “4D tagged MR-based motion correction in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 51:80, May 2010. (Society of Nuclear Medicine Computer and Instrumentation Young Investigator Award, 2nd place, Covidien Travel Award)
• S Y Chun, B Guerin, S Cho, T Reese, X Zhu, J Ouyang, C Catana, G El Fakhri, “Assessment of motion correction strategies in simultaneous PET-MR,” Journal of Nuclear Medicine Meeting Abstracts 51:359, May 2010. (Covidien Travel Award)
• J Ouyang, S Y Chun, G El Fakhri, “MR-based Attenuation Correction for Whole-body PET/MR,” Journal of Nuclear Medicine Meeting Abstracts 51:1381, May 2010.
• S Chun, S Cho, T G Reese, B Guerin, X Zhu, J Ouyang, C Catana, G El Fakhri, “Compensation for nonrigid motion using B-spline image registration in simultaneous MR-PET,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 3052, May 2010.
• T G Reese, B Guerin, S Cho, S Y Chun, J Ouyang, X Zhu, C Catana, G El Fakhri, “Respiratory Motion Correction of PET using Simultaneously Acquired Tagged MRI,” International Society for Magnetic Resonance in Medicine (ISMRM) p. 3053, May 2010.
• S Y Chun, C Schretter, J A Fessler, “Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 1221-4, Apr 2010.
• S Y Chun, J A Fessler, “Spatial resolution and noise properties of regularized motion-compensated image reconstruction,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 863-6, Jun 2009. (Student Travel Grant)
• S Y Chun, J A Fessler, M L Kessler, “A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion,” SPIE Medical Imaging: Image Processing, p. 72592U, Feb 2009.
• S Y Chun, J A Fessler, “Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility,” SPIE Medical Imaging: Physics of Medical Imaging, p. 72580U, Feb 2009.
• S Y Chun, J A Fessler, “Regularized Methods for Topology-preserving Smooth Nonrigid Image Registration Using B-Spline Basis,” IEEE International Symposium on Biomedical Imaging (ISBI) pp. 1099-1102, May 2008. (Student Travel Grant)
• J E Huggins, S P Levine, V Solo, J A Fessler, D M Minecan, S Y Chun, R K Kushwaha, S L BeMent, O Sagher, L A Schuh, B J Smith, K V Elisevich, G Pfurtscheller, B Graimann, “University of Michigan Direct Brain Interface: 2005 Update,” Brain-Computer Interface Technology Abstracts pp. 27-8, Jun 2005.
• S Y Chun, Jane E Huggins, J A Fessler, Victor Solo, Simon P Levine, “Detection of events in electrocorticogram using a quadratic detector based on a two covariance model,” Brain-Computer Interface Technology Abstracts p. 82, Jun 2005.
• Jane E Huggins, Simon P Levine, Victor Solo, J A Fessler, D M Minecan, S Y Chun, Robert C Welsh, R K Kushwaha, Spencer L BeMent, “2005 progress on a direct brain interface based on detection of ERPs in ECoG,” NIH Neural Interfaces Workshop p. 45, Mar 2005.
• J A Fessler, S Y Chun, J E Huggins, S P Levine, “Detection of Event-Related Spectral Changes in Electrocorticograms,” IEEE EMBS Conference on Neural Engineering pp. 269-272, Mar 2005.
• J A Fessler, S Y Chun, J E Huggins, S P Levine, “Model-based detection of event-related signals in electrocorticograms,” Neural Information Processing Systems (NIPS) Workshop on Towards Brain-Computer Interfacing, Dec 2004.