Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction von Fang, Xi, Yan, Pingkun

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Deep learning in medical image registration: a survey von Haskins, Grant, Kruger, Uwe, Yan, Pingkun

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Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation von Zhu, Qikui, Du, Bo, Yan, Pingkun

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Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss von Yang, Qingsong, Yan, Pingkun, Zhang, Yanbo, Yu, Hengyong, Shi, Yongyi, Mou, Xuanqin, Kalra, Mannudeep K., Zhang, Yi, Sun, Ling, Wang, Ge

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Toward Adversarial Robustness in Unlabeled Target Domains von Zhang, Jiajin, Chao, Hanqing, Yan, Pingkun

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MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection von Shi, Jun, Li, Zheng, Ying, Shihui, Wang, Chaofeng, Liu, Qingping, Zhang, Qi, Yan, Pingkun

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Manifold Regularized Sparse NMF for Hyperspectral Unmixing von Lu, Xiaoqiang, Wu, Hao, Yuan, Yuan, Yan, Pingkun, Li, Xuelong

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Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography von Chao, Hanqing, Shan, Hongming, Homayounieh, Fatemeh, Singh, Ramandeep, Khera, Ruhani Doda, Guo, Hengtao, Su, Timothy, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun

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Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation von Xu, Xuanang, Sanford, Thomas, Turkbey, Baris, Xu, Sheng, Wood, Bradford J., Yan, Pingkun

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Multi-Task Learning for Registering Images With Large Deformation von Du, Bo, Liao, Jiandong, Turkbey, Baris, Yan, Pingkun

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Federated Multi-organ Segmentation with Inconsistent Labels von Xu, Xuanang, Deng, Hannah H., Gateno, Jamie, Yan, Pingkun

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Net-FLICS: fast quantitative wide-field fluorescence lifetime imaging with compressed sensing – a deep learning approach von Yao, Ruoyang, Ochoa, Marien, Yan, Pingkun, Intes, Xavier

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Saliency Detection by Multiple-Instance Learning von Wang, Qi, Yuan, Yuan, Yan, Pingkun, Li, Xuelong

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Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound von Azizi, Shekoofeh, Bayat, Sharareh, Yan, Pingkun, Tahmasebi, Amir, Kwak, Jin Tae, Xu, Sheng, Turkbey, Baris, Choyke, Peter, Pinto, Peter, Wood, Bradford, Mousavi, Parvin, Abolmaesumi, Purang

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Knowledge-Based Analysis for Mortality Prediction From CT Images von Guo, Hengtao, Kruger, Uwe, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun

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Image Super-Resolution Via Double Sparsity Regularized Manifold Learning von Lu, Xiaoqiang, Yuan, Yuan, Yan, Pingkun

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Visual Saliency by Selective Contrast von Wang, Qi, Yuan, Yuan, Yan, Pingkun

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Learning deep similarity metric for 3D MR–TRUS image registration von Haskins, Grant, Kruecker, Jochen, Kruger, Uwe, Xu, Sheng, Pinto, Peter A., Wood, Brad J., Yan, Pingkun

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Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study von Sanford, Thomas, Harmon, Stephanie A., Turkbey, Evrim B., Kesani, Deepak, Tuncer, Sena, Madariaga, Manuel, Yang, Chris, Sackett, Jonathan, Mehralivand, Sherif, Yan, Pingkun, Xu, Sheng, Wood, Bradford J., Merino, Maria J., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris

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A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing von Peng, Zhao, Fang, Xi, Yan, Pingkun, Shan, Hongming, Liu, Tianyu, Pei, Xi, Wang, Ge, Liu, Bob, Kalra, Mannudeep K., Xu, X. George

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