**Listed on this page are all publications associated with the Sparse Data Challenge.**
**Journal Papers and Conference Proceedings**
*Challenge Papers*
1. EL Brewer, LW Clements, JA Collins, DJ Doss, JS Heiselman, MI Miga, CD Pavas, and EH Wisdom III. "The Image-to-Physical Liver Registration Sparse Data Challenge." In Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10951, pp. 364-370. SPIE, 2019.
2. JA Collins, JA Weis, JS Heiselman, LW Clements, AL Simpson, WR Jarnagin, and MI Miga. "Improving registration robustness for image-guided liver surgery in a novel human-to-phantom data framework." IEEE Transactions on Medical Imaging, vol. 36, no. 7, pp. 1502-1510, 2017.
3. JS Heiselman, JA Collins, MJ Ringel, WR Jarnagin, and MI Miga. "Comparison study of sparse data-driven soft tissue registration: preliminary results from the image-to-physical liver registration sparse data challenge." In Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 12466, pp. 150-161. SPIE, 2023.
4. JS Heiselman, JA Collins, MJ Ringel, TP Kingham, WR Jarnagin, and MI Miga. "The Image-to-Physical Liver Registration Sparse Data Challenge: comparison of state-of-the-art using a common dataset." Journal of Medical Imaging, 2024. (in press)
*Challenge Submissions*
1. Heiselman, Jon S., and Michael I. Miga. "The image-to-physical liver registration sparse data challenge: characterizing inverse biomechanical model resolution." In Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 11315, pp. 371-377. SPIE, 2020.
2. Jia, Meng, and Matthew Kyan. "Improving intraoperative liver registration in image-guided surgery with learning-based reconstruction." In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1230-1234. IEEE, 2021.
2. Mestdagh, Guillaume, and Stéphane Cotin. "An optimal control problem for elastic registration and force estimation in augmented surgery." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 74-83. Cham: Springer Nature Switzerland, 2022.
3. Ringel, Morgan, Jon Heiselman, Winona Richey, Ingrid Meszoely, William Jarnagin, and Michael Miga. "Comparing Regularized Kelvinlet Functions and the Finite Element Method for Registration of Medical Images to Sparse Organ Data." arXiv preprint arXiv:2306.05509 (2023).
