A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces von Naseri, Parinaz, Hum, Sean V.

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Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach von Mahmood, Tariq, Li, Jianqiang, Pei, Yan, Akhtar, Faheem, Rehman, Mujeeb Ur, Wasti, Shahbaz Hassan

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Reconfigurable Transmitarray Design Approaches for Beamforming Applications von Lau, J. Y., Hum, S. V.

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Rational Design of Dipolar Chromophore as an Efficient Dopant-Free Hole-Transporting Material for Perovskite Solar Cells von Li, Zhong’an, Zhu, Zonglong, Chueh, Chu-Chen, Jo, Sae Byeok, Luo, Jingdong, Jang, Sei-Hum, Jen, Alex K.-Y

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Understanding Treatment of Severe Anemia due to CKD: A Descriptive Study in Non-Dialysis Medicare Advantage Prescription Drug Plan Patients: PO0273 von Davis, Jill, Suehs, Brandon, Xu, Yihua, Patel, Sushma, Schilling, Craig G., Bunniran, Suvapun, Perkins, Robert M., Vuong, Kelly

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Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs von Chen, Hsuan-Yu, Hsu, Benny Wei-Yun, Yin, Yu-Kai, Lin, Feng-Huei, Yang, Tsung-Han, Yang, Rong-Sen, Lee, Chih-Kuo, Tseng, Vincent S

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A Broadband Model-Based Parameter Estimation Method for Analyzing Multilayer Periodic Structures von Wang, Zhengzheng, Hum, Sean V.

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A stomata classification and detection system in microscope images of maize cultivars von Aono, Alexandre H, Nagai, James S, Dickel, Gabriella da S M, Marinho, Rafaela C, de Oliveira, Paulo E A M, Papa, João P, Faria, Fabio A

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A Combined Machine-Learning/Optimization-Based Approach for Inverse Design of Nonuniform Bianisotropic Metasurfaces von Naseri, Parinaz, Pearson, Stewart, Wang, Zhengzheng, Hum, Sean V.

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Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation von Kim, Kyung-Su, Kim, Byung Kil, Chung, Myung Jin, Cho, Hyun Bin, Cho, Beak Hwan, Jung, Yong Gi

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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity von Montaha, Sidratul, Azam, Sami, Rafid, A. K. M. Rakibul Haque, Islam, Sayma, Ghosh, Pronab, Jonkman, Mirjam

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An image quality assessment index based on image features and keypoints for X-ray CT images von Maruyama, Sho, Watanabe, Haruyuki, Shimosegawa, Masayuki

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Investigating kpc-scale radio emission properties of narrow-line Seyfert 1 galaxies von Singh, Veeresh, Chand, Hum

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Multi-scale Xception based depthwise separable convolution for single image super-resolution von Muhammad, Wazir, Aramvith, Supavadee, Onoye, Takao

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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams von Park, Ho-Min, Park, Sanghyeon, de Guzman, Maria Krishna, Baek, Ji Yeon, Cirkovic Velickovic, Tanja, Van Messem, Arnout, De Neve, Wesley

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Estimating the synaptic density deficit in Alzheimer's disease using multi-contrast CEST imaging von Shahid, Syed Salman, Dzemidzic, Mario, Butch, Elizabeth R, Jarvis, Erin E, Snyder, Scott E, Wu, Yu-Chien

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Identifying transcriptomic correlates of histology using deep learning von Badea, Liviu, Stănescu, Emil

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Multicow pose estimation based on keypoint extraction von Gong, Caili, Zhang, Yong, Wei, Yongfeng, Du, Xinyu, Su, Lide, Weng, Zhi

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Reconfigurable Reflectarrays and Array Lenses for Dynamic Antenna Beam Control: A Review von Hum, Sean Victor, Perruisseau-Carrier, Julien

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Not getting in too deep: A practical deep learning approach to routine crystallisation image classification von Milne, Jamie, Qian, Chen, Hargreaves, David, Wang, Yinhai, Wilson, Julie

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