Segmentation
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UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for multiple sclerosis lesion segmentation
Zhang, Jinwei; Zuo, Lianrui; Dewey, Blake E.; Remedios, Samuel W.; Liu, Yihao; Hays, Savannah P.; Pham, Dzung L.; Mowry, Ellen M.; Newsome, Scott Douglas; Calabresi, Peter Arthur; Saidha, Shiv; Carass, Aaron; & Prince, Jerry L. (2026). UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for… Read MoreFeb. 25, 2026
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Glo-In-One-v2: holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathology
Yu, Lining; Yin, Mengmeng; Deng, Ruining; Liu, Quan; Yao, Tianyuan; Cui, Can; Guo, Junlin; Wang, Yu; Wang, Yaohong; Zhao, Shilin; Yang, Haichun; & Huo, Yuankai. (2025). Glo-In-One-v2: Holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathology. Journal of Medical Imaging, 12(6), 61406. https://doi.org/10.1117/1.JMI.12.6.061406 Segmenting… Read MoreJan. 28, 2026
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Zenk, Maximilian, Baid, Ujjwal, Pati, Sarthak, Linardos, Akis, Edwards, Brandon, Sheller, Micah, Foley, Patrick, Aristizabal, Alejandro, Zimmerer, David, Gruzdev, Alexey, Martin, Jason, Shinohara, Russell T., Reinke, Annika, Isensee, Fabian, Parampottupadam, Santhosh, Parekh, Kaushal, Floca, Ralf, Kassem, Hasan, Baheti, Bhakti, Thakur, Siddhesh, Chung, Verena, Kushibar, Kaisar, Lekadir, Karim, Jiang,… Read MoreJul. 28, 2025
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Adaptive Patching for High-resolution Image Segmentation with Transformers
Zhang, Enzhi; Lyngaas, Isaac; Chen, Peng; Wang, Xiao; Igarashi, Jun; Huo, Yuankai; Munetomo, Masaharu; Wahib, Mohamed. “Adaptive Patching for High-resolution Image Segmentation with Transformers.” International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2024 ÎåÒ»²è¹Ý¶ù, https://doi.org/10.1109/SC41406.2024 ÎåÒ»²è¹Ý¶ù.00082.  … Read MoreJan. 28, 2025
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Beyond MR Image Harmonization: Resolution Matters Too
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 MoreNov. 21, 2024 ÎåÒ»²è¹Ý¶ù
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Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion
Zhang, Jinwei, Zuo, Lianrui, Dewey, Blake E., Remedios, Samuel W., Pham, Dzung L., Carass, Aaron, & Prince, Jerry L. (2024 ÎåÒ»²è¹Ý¶ù). Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. In Proceedings of the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024 ÎåÒ»²è¹Ý¶ù), Athens, Greece, May… Read MoreSep. 22, 2024 ÎåÒ»²è¹Ý¶ù
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Sex and age effects on gray matter volume trajectories in young children with prenatal alcohol exposure
Madison Long, Preeti Kar, Nils D. Forkert, Bennett A. Landman, W. Ben Gibbard, Christina Tortorelli, Carly A. McMorris, Yuankai Huo, and Catherine A. Lebel. “Sex and Age Effects on Gray Matter Volume Trajectories in Young Children with Prenatal Alcohol Exposure.” Frontiers in Human Neuroscience, vol. 18, 1379959, April 2024 ÎåÒ»²è¹Ý¶ù. … Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 1293319, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California, United States. Segmenting tiny blood vessels, like arterioles,… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Evaluation of U-Nets for object segmentation in ultrasound images
Rui Wang, Katelyn Craft, Elisa Holtzman, Hannah Mason, Christopher Khan, Brett Byram, Jason Mitchell, and Jack H. Noble. “Evaluation of U-Nets for Object Segmentation in Ultrasound Images.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Ultrasonic Imaging and Tomography, vol. 12932, 129321G, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California, United States. Ultrasound imaging is… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù