Publications

C.L. Howe*, K.L.Y. Zhao*, H. Verinaz-Jadan*, P. Song, S.J. Barnes, P.L. Dragotti, and A.J. Foust, “Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging,” Proceedings of the National Academy of Sciences of the United States of America, 122 (48) e2510337122, doi: 10.1073/pnas.2510337122 (2025).

K.L.Y. Zhao and P.L. Dragotti, “An algebraic approach to angle estimation of tomographic projections,” accepted to SIAM Conference on Mathematics of Data Science (MDS), Salt Lake City, USA, 2026.

V. Leung*, K. Zhao*, J. Chen, D. Bubeck, P.L. Dragotti, “3-D homogeneous refinement of cryo-EM reconstructions using implicit neural representations,” presented at the IEEE International Conference on Image Processing (ICIP), Tampere, Finland, 2026.

K.L.Y. Zhao, R. Wang, and P.L. Dragotti, “Reconstructing 3-D FRI shapes from tomographic projections at unknown angles,” presented at Orthogonal Polynomials, Exponential Analysis, Rational Approximation, with applications (OPERA), Stirling, UK, 2026.

K.L.Y. Zhao, R. Wang, and P.L. Dragotti, “Reconstructing 3-D FRI shapes from tomographic projections at unknown angles,” International Conference on Sampling Theory and Applications (SampTA), Vienna, Austria, 2025, pp. 1-5, doi: 10.1109/SampTA64769.2025.11133561.

A. Foust, C. Howe, H. Verinaz Jadan, K. Zhao, P. Song, and P.L. Dragotti, “Light-field deep learning for high-throughput, scattering-mitigated neural circuit imaging,” Optica Biophotonics Congress 2025, Technical Digest Series (Optica Publishing Group, 2025), paper BM5B.2.

* = equal contribution