BrainSegFounder: Towards 3D foundation models for neuroimage segmentation von Cox, Joseph, Liu, Peng, Stolte, Skylar E., Yang, Yunchao, Liu, Kang, See, Kyle B., Ju, Huiwen, Fang, Ruogu

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Machine learning and individual variability in electric field characteristics predict tDCS treatment response von Albizu, Alejandro, Fang, Ruogu, Indahlastari, Aprinda, O’Shea, Andrew, Stolte, Skylar E., See, Kyle B., Boutzoukas, Emanuel M., Kraft, Jessica N., Nissim, Nicole R., Woods, Adam J.

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Machine-learning defined precision tDCS for improving cognitive function von Albizu, Alejandro, Indahlastari, Aprinda, Huang, Ziqian, Waner, Jori, Stolte, Skylar E., Fang, Ruogu, Woods, Adam J.

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Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods von Yu, Zehao, Yang, Xi, Sweeting, Gianna L, Ma, Yinghan, Stolte, Skylar E, Fang, Ruogu, Wu, Yonghui

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A survey on medical image analysis in diabetic retinopathy von Stolte, Skylar, Fang, Ruogu

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Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression von Albizu, Alejandro, Indahlastari, Aprinda, Suen, Paulo, Huang, Ziqian, Waner, Jori L, Stolte, Skylar E, Fang, Ruogu, Brunoni, Andre R, Woods, Adam J

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STIR-Net : Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion von Xiao, Yao, Liu, Peng, Liang, Yun, Stolte, Skylar, Sanelli, Pina, Gupta, Ajay, Ivanidze, Jana, Fang, Ruogu

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DOMINO: Domain-aware loss for deep learning calibration von Stolte, Skylar E., Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J., Brink, Kevin, Hale, Matthew, Fang, Ruogu

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Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning von Stolte, Skylar E., Indahlastari, Aprinda, Chen, Jason, Albizu, Alejandro, Dunn, Ayden, Pedersen, Samantha, See, Kyle B., Woods, Adam J., Fang, Ruogu

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DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability von Stolte, Skylar E., Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J., Brink, Kevin, Hale, Matthew, Fang, Ruogu

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Domain-invariant interpretable fundus image quality assessment von Shen, Yaxin, Sheng, Bin, Fang, Ruogu, Li, Huating, Dai, Ling, Stolte, Skylar, Qin, Jing, Jia, Weiping, Shen, Dinggang

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Abstract 15036: Artificial Intelligence for Characterizing Heart Failure in Cardiac Magnetic Resonance Images von Stolte, Skylar E, Fang, Ruogu, Wu, Yonghui, Hogan, William, Gong, Yan

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Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI von Stolte, Skylar E., Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J., Fang, Ruogu

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DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation von Stolte, Skylar E., Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J., Brink, Kevin, Hale, Matthew, Fang, Ruogu

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BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation von Cox, Joseph, Liu, Peng, Stolte, Skylar E, Yang, Yunchao, Liu, Kang, See, Kyle B, Ju, Huiwen, Fang, Ruogu

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BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation von Cox, Joseph, Liu, Peng, Stolte, Skylar E, Yang, Yunchao, Liu, Kang, See, Kyle B, Ju, Huiwen, Fang, Ruogu

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DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability von Stolte, Skylar E, Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J, Brink, Kevin, Hale, Matthew, Fang, Ruogu

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DOMINO: Domain-aware Loss for Deep Learning Calibration von Stolte, Skylar E, Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J, Brink, Kevin, Hale, Matthew, Fang, Ruogu

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DOMINO: Domain-aware Model Calibration in Medical Image Segmentation von Stolte, Skylar E, Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J, Brink, Kevin, Hale, Matthew, Fang, Ruogu

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BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation von Cox, Joseph, Liu, Peng, Stolte, Skylar E, Yang, Yunchao, Liu, Kang, See, Kyle B, Ju, Huiwen, Fang, Ruogu

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