Segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black blood magnetic resonance imaging with multi‐task learning von Wu, Jiayi, Xin, Jingmin, Yang, Xiaofeng, Matkovic, Luke A., Zhao, Xihai, Zheng, Nanning, Li, Rui

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Diffeomorphic transformer‐based abdomen MRI‐CT deformable image registration von Lei, Yang, Matkovic, Luke A., Roper, Justin, Wang, Tonghe, Zhou, Jun, Ghavidel, Beth, McDonald, Mark, Patel, Pretesh, Yang, Xiaofeng

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The viscoelastic characteristics of in-vitro carotid plaque by Kelvin-Voigt fractional derivative modeling von Zhou, Yan, Song, Yan, Liu, Zhihui, Li, Wenbin, Guo, Ying, Matkovic, Luke A., Yang, Xiaofeng, Ma, Ruining, Wan, Mingxi, Ruan, Litao, Zhang, Hongmei

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Prostate and dominant intraprostatic lesion segmentation on PET/CT using cascaded regional-net von Matkovic, Luke A, Wang, Tonghe, Lei, Yang, Akin-Akintayo, Oladunni O, Abiodun Ojo, Olayinka A, Akintayo, Akinyemi A, Roper, Justin, Bradley, Jeffery D, Liu, Tian, Schuster, David M, Yang, Xiaofeng

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Deep Q-learning to globally optimize a k -D parameter search for medical imaging von Zhang, Hongmei, Liang, Songshi, Matkovic, Luke A, Momin, Shadab, Wang, Kai, Yang, Xiaofeng, Insana, Michael F

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Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration von Lei, Yang, Matkovic, Luke A, Roper, Justin, Wang, Tonghe, Zhou, Jun, Ghavidel, Beth, McDonald, Mark, Patel, Pretesh, Yang, Xiaofeng

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Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration von Lei, Yang, Matkovic, Luke A, Roper, Justin, Wang, Tonghe, Zhou, Jun, Ghavidel, Beth, McDonald, Mark, Patel, Pretesh, Yang, Xiaofeng

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Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration von Yang, Lei, Matkovic, Luke A, Roper, Justin, Wang, Tonghe, Zhou, Jun, Ghavidel, Beth, McDonald, Mark, Patel, Pretesh, Yang, Xiaofeng

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Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions von Hu, Mingzhe, Zhang, Jiahan, Matkovic, Luke, Liu, Tian, Yang, Xiaofeng

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Understanding how junction resistances impact the conduction mechanism in nano-networks von Gabbett, Cian, Kelly, Adam G., Coleman, Emmet, Doolan, Luke, Carey, Tian, Synnatschke, Kevin, Liu, Shixin, Dawson, Anthony, O’Suilleabhain, Domhnall, Munuera, Jose, Caffrey, Eoin, Boland, John B., Sofer, Zdeněk, Ghosh, Goutam, Kinge, Sachin, Siebbeles, Laurens D. A., Yadav, Neelam, Vij, Jagdish K., Aslam, Muhammad Awais, Matkovic, Aleksandar, Coleman, Jonathan N.

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Deformable lung 4DCT image registration via landmark‐driven cycle network von Matkovic, Luke, Lei, Yang, Fu, Yabo, Wang, Tonghe, Kesarwala, Aparna H., Axente, Marian, Roper, Justin, Higgins, Kristin, Bradley, Jeffrey D., Liu, Tian, Yang, Xiaofeng

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Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions von Hu, Mingzhe, Zhang, Jiahan, Matkovic, Luke, Liu, Tian, Yang, Xiaofeng

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Quantifying the contribution of material and junction resistances in nano-networks von Gabbett, Cian, Kelly, Adam G, Coleman, Emmet, Doolan, Luke, Carey, Tian, Synnatschke, Kevin, Liu, Shixin, Dawson, Anthony, OSuilleabhain, Domhnall, Munuera, Jose, Caffrey, Eoin, Boland, John B, Sofer, Zdenek, Ghosh, Goutam, Kinge, Sachin, Siebbeles, Laurens D. A, Yadav, Neelam, Vij, Jagdish K, Aslam, Muhammad Awais, Matkovic, Aleksandar, Coleman, Jonathan N

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Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions von Hu, Mingzhe, Zhang, Jiahan, Matkovic, Luke, Liu, Tian, Yang, Xiaofeng

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Quantifying the contribution of material and junction resistances in nano-networks von Gabbett, Cian, Kelly, Adam G, Coleman, Emmet, Doolan, Luke, Tian, Carey, Synnatschke, Kevin, Liu, Shixin, Dawson, Anthony, OSuilleabhain, Domhnall, Munuera, Jose, Caffrey, Eoin, Boland, John B, Sofer, Zdenek, Ghosh, Goutam, Kinge, Sachin, Siebbeles, Laurens D A, Yadav, Neelam, Vij, Jagdish K, Muhammad Awais Aslam, Matkovic, Aleksandar, Coleman, Jonathan N

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