News/2026
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2026
March
- Dr. Remedios' paper titled "ECLARE: efficient cross-planar learning for anisotropic resolution enhancement" appears in SPIE Journal of Medical Imaging.

February
- IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2026), Vancouver, Canada, February 15–19, 2026.
- Liwei Zhou presented "Pipeline refinement on diffusion tractography and T1 tractography in the presence of multiple sclerosis lesions".
- Kathleen M. Bartz presented "Construction of a normative database of human retinal thicknesses from existing UK BioBank OCT Participants" and "Automated quality assurance of parcellation techniques with Statistically-based Failure Evaluation (SAFE)".
- Prof. Prince presented Dr. Wei's work titled "Optical coherence tomography harmonization via dual diffusion implicit bridges".
| IACL at SPIE-MI 2026 | ||||
| Kathleen M. Bartz presenting her poster to Adam Saunders. | Liwei Zhou presenting his poster to Dr. Bulat Ibragimov |
IACL lab members and | ||
Savannah P. Hays presents "The Impact of Site Variability on Volumetric Analysis in a Multi-Site MRI Dataset: A Case for Image Harmonization" at the 11th annual Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS), San Diego, CA, February 5–7, 2026.
- Savannah P. Hays presented "The Impact of Site Variability on Volumetric Analysis in a Multi-Site MRI Dataset: A Case for Image Harmonization" at the 11th annual Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS), San Diego, CA, February 5–7, 2026.
January
- Dr. Zhang's paper titled "UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation" appears in Medical Image Analysis.

- Our paper titled "Unsupervised learning of spatially varying regularization for diffeomorphic image registration" led by Dr. Junyu Chen is available from Medical Image Analysis.

- Savannah P. Hays has her first journal article published in SPIE Journal of Medical Imaging, titled "Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures".

