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Recent News Items
2026
February
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 Journal of Medical Imaging, titled "Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures".

2025
December
- Dr. Shuwen Wei presents his paper titled "Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges" at the Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, December 2–7, 2025.
- Dr. Jinwei Zhang presents his paper title "Automated Unique Lesion Tracking (AULTRA): A Framework for Longitudinal Lesion-wise Morphometric Analysis in Multiple Sclerosis" at the annual meeting of the Radiological Sociey of North America (RSNA 2025), Chicago, IL, November 30 – December 4, 2025.
November
- Savannah P. Hays visits West Virginia University to give a talk to the Machine Intelligence Lab (PI: Prashnna K. Gyawali
) about MR image processing and synthesis.
October
- Samuel W. Remedios successfully defends his thesis titled "Through-plane super-resolution of anisotropic multi-slice magnetic resonance images".
- M. Faizyab Ali Chaudhary joins IACL from the University of Alabama at Birmingham.
September
- IACL papers at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Daejeon, South Korea, September 23–27, 2025.
- Samuel W. Remedios presented "Exploring the feasibility of zero-shot super-resolution in preclinical imaging".

- Samuel W. Remedios also presented "Unsupervised OCT image interpolation using deformable registration and generative models" on behalf of Dr. Shuwen Wei.

- Anqi "Amy" Feng presented "Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution" as part of the Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC).

- Samuel W. Remedios presented "Exploring the feasibility of zero-shot super-resolution in preclinical imaging".
- Savannah P. Hays had a poster presentation titled "Improving MR image harmonization for clinical and research applications in multiple sclerosis" at the 150th Annual Meeting of the American Neurological Association (ANA2025) in Baltimore, MD.
| IACL at ANA 2025 | ||||
July
Savannah Hays presenting "An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images" at Medical Imaging with Deep Learning (MIDL 2025), Salt Lake City, UT, July 9–11, 2025.
- IACL papers at Medical Imaging with Deep Learning (MIDL 2025), Salt Lake City, UT, July 9–11, 2025.
- Savannah P. Hays had a poster presentation of her work titled "An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images".

- Dr. Junyu Chen had a poster presentation of his work titled "Pretraining Deformable Image Registration Networks with Random Images".

- Savannah P. Hays had a poster presentation of her work titled "An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images".
June
- The Whiting School of Engineering publishes Student Wins Best Poster Award at 2025 ACTRIMS Young Scientist Conference celebrating Savannah Hays' win!











