Publications 

Darkred texts represent methods or approaches, and blue texts represent applications

2024

2023

• J. Koo, "Sinogram Upsampling via Sub-Riemannian Diffusion with Adaptive Weighting", 12(21):4503, 2023. 

• D. Jumanazarov, A. Alimova, A. Abdikarimov, J. Koo, H. F. Poulsen, U. L. Olsen, M.  Iovea, "Material classification using basis material decomposition from spectral x-ray CT", Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 1056, 168637, 2023.

• A. Halimi, J. Koo, S. McLaughlin, "Bayesian Based Unrolling for Reconstruction and Super-resolution of Single-Photon Lidar Systems", International Symposium on Computational Sensing, 2023. [Link]

2022

• J. Koo, A. Halimi, S. McLaughlin, "A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems", IEEE Journal of Selected Topics in Signal Processing (JSTSP), 16(4), 762-774, 2022. [PDF] [CODE]

  • J. Koo, A. Halimi, A. Maccarone, G.S. Buller, S. McLaughlin, "A Bayesian Based Unrolling Approach to Single-Photon Lidar Imaging through Obscurants", IEEE European Signal Processing Conference (EUSIPCO), 872-876, 2022  [PDF]

• A. Halimi, J. Koo, R.A. Lamb, G.S. Buller, S. McLaughlin, "Robust Bayesian Reconstruction of Multispectral Single-Photon 3D Lidar Data with Non-Uniform Background", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

• D. Jumanazarov, J. Koo, J. Kehres, H.F. Poulsen, U.L. Olsen, M. Iovea, "Material classification from sparse spectral X-ray CT using vectorial total variation based on L infinity norm", Material Classifications. 2022. [CODE]

  • D. Jumanazarov, J. Koo, H.F. Poulsen, U.L. Olsen, M. Iovea, "Significance of the spectral correction of photon counting detector response in material classification from spectral x-ray CT", Journal of Medical Imaging 9 (3), 03450, 2002.

2021

• J. Koo, A. B. Dahl, J. A. Bærentzen, Q. Chen, S. Bals, V. A. Dahl, "Shape from projections via differentiable forward projector for computed tomography", Ultramicroscopy, 2021. [PDF], [CODE]

• J. Koo, A. B. Dahl, V. A. Dahl, "DALM, Deformable Attenuation-Labeled Mesh for Tomographic Reconstruction and Segmentation", IEEE Transactions on Computational Imaging (TCI), 2021.

• J. Koo, E. O. Brenne, A. B. Dahl, V. A. Dahl, "A Tomographic Reconstruction Method using Coordinate-based Neural Network with Spatial Regularization", Proceedings of the Northern Lights Deep Learning Workshop, 2021.

• J. Koo, "Tomographic Segmentation from Limited Projection Data", Thesis, Technical University of Denmark, 2021. (Committee members: JS Jørgensen, KJ Batenburg, FB Lauze)

~2020

• D. Jumanazarov, J. Koo, M. Busi, H. F. Poulsen, U. L. Olsen, M. Iovea, "System-independent material classification through X-ray attenuation decomposition from spectral X-ray CT", NDT & E International 116, 102336, 2020

• B. W. Hong, J. Koo, M. Burger, S. Soatto, "Adaptive regularization of some inverse problems in image analysis", IEEE Transactions on Image Processing (TIP) 29, 2507-2521, 2020

• J. Koo, B. S. Sohn, B. W. Hong, "Segmentation of left ventricle in cardiac MRI via contrast-invariant deformable template", Journal of Medical Imaging and Health Informatics 7(8), 1682-1688, 2017

• B. W. Hong, J. Koo, H. Dirks, M. Burger, "Adaptive regularization in convex composite optimization for variational imaging problems", German Conference on Pattern Recognition (GCPR), 2017

• J. Koo, B. W. Hong, "Segmentation of Left Ventricle in Cardiac Magnetic Resonance Imaging via Region-Dependent Motion Estimation", Journal of Medical Imaging and Health Informatics 6 (5), 1186-1192, 2016