Y. Long, J. A. Fessler, and J. M. Balter. “A 3D forward and back-projection method for X-ray CT using separable footprint”.In Proc. Intl. Mtg. on Fully 3D Image Recon. in Rad. and Nuc. Med, pp. 146–9, 2009. Winner of poster award.pdf
Y. Long, J. A. Fessler, and J. M. Balter. “3D forward and back-projection for X-ray CT using separable footprints with trapezoid functions”.In Proc. First Intl. Mtg. on image formation in X-ray CT, pp. 216–9, 2010.pdf
Y. Long and J. A. Fessler. “Multi-material decomposition using statistical image reconstruction in X-ray CT”.In Proc. 2nd Intl. Mtg. on image formation in X-ray CT, pp. 413–6, 2012. pdf
Y. Long, L. Cheng, X. Rui, B. De Man, A. Alessio, E. Asma and P. Kinahan. “Analysis of Ultra-Low Dose CT Acquisition Protocol and Reconstruction Algorithm Combinations for PET Attenuation Correction”.In Proc. Intl. Mtg. on Fully 3D Image Recon. in Rad. and Nuc. Med., pp. 400-3, 2013.pdf
M. Yang, Y. Long and T. Niu. “Statistical Image-Domain Multi-Material Decomposition for Dual-Energy CT”.In Proc. 4th Intl. Mtg. on image formation in X-ray CT, pp. 65-8, July 18-22, 2016, Bamberg, Germany. pdf
Q. Ding, Y. Long, X. Zhang and J. A. Fessler. “Modeling Mixed Poisson-Gaussian Noise in Statistical Image Reconstruction for X-Ray CT”.In Proc. 4th Intl. Mtg. on image formation in X-ray CT, pp. 399-402, July 18-22, 2016, Bamberg, Germany.pdf
X. Zheng, S. Ravishankar, Y. Long and J. A. Fessler. “Union of Learned Sparsifying Transforms Based Low-Dose 3D CT Image Reconstruction.” Proc. Intl. Mtg. on Fully 3D Image Recon. in Rad. and Nuc. Med., page 69-72, June 18-23, 2017, Xi’an, China.pdf
I. Y. Chun, X. Zheng, Y. Long, and J. A. Fessler. “Efficient Sparse-View X-Ray CT Reconstruction Using L1 Regularization with Learned Sparsifying Transform.” Proc. Intl. Mtg. on Fully 3D Image Recon. in Rad. and Nuc. Med., page 115-119, June 18-23, 2017. Xi’an, China.pdf
Q. Ding, T. Niu, X. Zhang and Y. Long. “Image-domain multile-material decomposition for dual-energy CT via total nuclear norm and L0 norm.” Proc. Intl. Mtg. on Fully 3D Image Recon. in Rad. and Nuc. Med., page 154-159, June 18-23, 2017. Xi’an, China.pdf
Z. Li, S. Ravishankar, Y. Long, and J. A. Fessler. “Learned missed material models for efficient clustering based dual-energy CT image decomposition.” In Proc. IEEE GlobalSIP, November 26-29, 2018, Anaheim, California, USA.
Conference Abstracts
Y. Long, J. A. Fessler, and J. M. Balter. “Accuracy limits for projection-to-volume targeting during arc therapy”.Proc. Amer. Assoc. Phys. Med., pp. 3154, 2010.
Y. Long, J. A. Fessler, and J. M. Balter. “Two-material decomposition from a single CT scan using statistical image reconstruction”.Proc. Amer. Assoc. Phys. Med., pp. 3810, 2011.
J. M. Balter, Y. Long, M. M. Folkerts, G. C. Sharp, T. R. Bortfeld and J. A. Fessler. “An open platform for 2D-3D image registration experiments”.Proc. Amer. Assoc. Phys. Med., pp. 3450, 2011.
X. Zheng, S. Ravishankar, Z. Lu, Y. Long, J. A. Fessler. “Image reconstruction for low dose X-ray CT using learned overcomplete sparsifying transforms”. Gordon Res. Conf. on Imaging Science, 2016.