Deep Learning
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Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
Lee, Ho Hin; Saunders, Adam M.; Kim, Michael E.; Remedios, Samuel W.; Remedios, Lucas W.; Tang, Yucheng; Yang, Qi; Yu, Xin; Bao, Shunxing; Cho, Chloe; Mawn, Louise A.; Rex, Tonia S.; Schey, Kevin L.; Dewey, Blake E.; Spraggins, Jeffrey M.; Prince, Jerry L.; Huo, Yuankai; Landman, Bennett A. Read MoreJan. 28, 2025
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Relating Students Cognitive Processes and Learner-Centered Emotions: An Advanced Deep Learning Approach
Ashwin, T.S.; Biswas, Gautam. “Relating Students Cognitive Processes and Learner-Centered Emotions: An Advanced Deep Learning Approach.” ACM International Conference Proceeding Series, 2024, pp. 575-584, https://doi.org/10.1145/3678957.3685751. Understanding how students regulate their learning, especially in open-ended learning environments, requires looking at… Read MoreJan. 28, 2025
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Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values
Saunders, Adam M.; Kim, Michael E.; Gao, Chenyu; Remedios, Lucas W.; Krishnan, Aravind R.; Schilling, Kurt G.; O’Grady, Kristin P.; Smith, Seth A.; Landman, Bennett A. “Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values.” Magnetic Resonance Imaging, vol. 117,… Read MoreJan. 28, 2025
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Vector field attention for deformable image registration
Liu, Yihao; Chen, Junyu; Zuo, Lianrui; Carass, Aaron; Prince, Jerry L. “Vector field attention for deformable image registration.” Journal of Medical Imaging, vol. 11, no. 6, 2024, 64001, https://doi.org/10.1117/1.JMI.11.6.064001. The purpose of this study is to improve the process of… Read MoreJan. 28, 2025
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Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Cui, C., Yang, H., Wang, Y., Zhao, S., Asad, Z., Coburn, L. A., Wilson, K. T., Landman, B. A., & Huo, Y. (2023). Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review. Progress in Biomedical Engineering, 5(2), 22001. Read MoreDec. 16, 2024
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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis, 85, 102762. doi: 10.1016/j.media.2023.102762 Transformer, a recent advancement in deep… Read MoreDec. 16, 2024
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3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments
Davalos, Eduardo; Zhang, Yike; Ashwin, T.S.; Fonteles, Joyce Horn; Timalsina, Umesh; Biswas, Gautam. “3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments”. ACM International Conference Proceeding Series, 2024, pp. 175-183. DOI: 10.1145/3686215.3688380. This study presents a new method for tracking where people are looking in… Read MoreDec. 16, 2024
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Overcoming Labeled Data Barriers in Deep Ultrasound Imaging
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 MoreNov. 21, 2024
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HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
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 MoreNov. 21, 2024
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Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images
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 MoreNov. 21, 2024