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  Pan, Y.-C.; Vienneau, E.; Lefevre, R.; Eagle, S.; Byram, B. “Overcoming Labeled Data Barriers in Deep Ultrasound Imaging.” European Signal Processing Conference, 2024, pp. 770-774.     Deep networks have significantly advanced medical imaging. Initially, they were used for diagnosing conditions by interpreting… Read More

Yang, Y.; Lu, M.; Yan, X. “Frequency-independent dual-tuned cable traps for multi-nuclear MRI and MRS.” Journal of Magnetic Resonance, Volume 368, 2024, Article 107786, DOI: 10.1016/j.jmr.2024.107786.    MRI and MRS scans often require two systems: one for regular hydrogen imaging (used… Read More

Hays, S.P.; Remedios, S.W.; Zuo, L.; Mowry, E.M.; Newsome, S.D.; Calabresi, P.A.; Carass, A.; Dewey, B.E.; Prince, J.L.  “Beyond MR Image Harmonization: Resolution Matters Too.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 15187 LNCS, 2025,… Read More

Deng, R.; Liu, Q.; Cui, C.; Yao, T.; Xiong, J.; Bao, S.; Li, H.; Yin, M.; Wang, Y.; Zhao, S.; Tang, Y.; Yang, H.; Huo, Y. “HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.” Lecture Notes in Computer Science (including subseries Lecture Notes in… Read More

Li, H.; Oguz, B.; Arenas, G.; Yao, X.; Wang, J.; Pouch, A.; Byram, B.; Schwartz, N.; Oguz, I. “Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume… Read More

Zimmer-Dauphinee, J.; Wernke, S.A. “Semantic Segmentation and Classification of Active and Abandoned Agricultural Fields through Deep Learning in the Southern Peruvian Andes.” Remote Sensing, Volume 16, Issue 19, 2024, Article 3546, DOI: 10.3390/rs16193546.  In pre-Hispanic times, the Andean people built massive… Read More

Liu, C.; Liang, H.; Lu, M.; Gore, J.C.; Sengupta, S.; Yan, X. “Radiofrequency-transparent local B0 shimming coils using float traps.” Magnetic Resonance in Medicine, 2024, DOI: 10.1002/mrm.30361.  In high-field MRI, uneven magnetic fields (B0 inhomogeneities) can lead to poor image quality. A… Read More

Jennings, Justin; Wernke, Steven; Berquist, Stephen et al. “IMÁGENES AÉREAS SISTEMÁTICAS Y DOCUMENTACIÓN DEL SITIO ARQUEOLÓGICO DE HUARI: UNA ACTUALIZACIÓN Y PERSPECTIVAS PARA EL FUTURO” (… Read More

Bao, Shunxing, Guo, Junlin, Lee, Ho Hin, Deng, Ruining, Cui, Can, Remedios, Lucas W., Liu, Quan, Yang, Qi, Xu, Kaiwen, Yu, Xin, Li, Jia, & Li, Yike. (2024). Mitigating over-saturated fluorescence images through a semi-supervised generative adversarial network. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI… Read More

Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging, 1-12. https://doi.org/10.1109/TMI.2024.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read More