Yan, Pingkun

Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss.

Yang, Q., Yan, P., Zhang, Y., Yu, H., Shi, Y., Mou, X., Kalra, M. K., Zhang, Y., Sun, L., & Wang, G. (2018) · IEEE Transactions on Medical Imaging

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 1,630

Deep learning in medical image registration: a survey

Haskins, G., Kruger, U., & Yan, P. (2020) · Machine Vision and Applications

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 704

Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos

Cao, X., Wu, C., Yan, P., & Li, X. (2011) · 2011 18th IEEE International Conference on Image Processing

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 151

Learning deep similarity metric for 3D MR–TRUS image registration

Haskins, G., Kruecker, J., Kruger, U., Xu, S., Pinto, P. A., Wood, B. J., & Yan, P. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 140

Adversarial Image Registration with Application for MR and TRUS Image Fusion

Yan, P., Xu, S., Rastinehad, A. R., & Wood, B. J. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Image Fusion Techniques

Cited by 100

Revisiting the Trustworthiness of Saliency Methods in Radiology AI

Zhang, J., Chao, H., Dasegowda, G., Wang, G., Kalra, M. K., & Yan, P. (2024) · Radiology: Artificial Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 57

Transfer learning for pedestrian detection

Cao, X., Wang, Z., Yan, P., & Li, X. (2013) · Neurocomputing

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 57

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations

Azizi, S., Bayat, S., Yan, P., Tahmasebi, A., Nir, G., Kwak, J. T., Xu, S., Wilson, S., Iczkowski, K. A., Lucia, M. S., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

Cited by 47

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Azizi, S., Mousavi, P., Yan, P., Tahmasebi, A., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

Cited by 30

Identifying progression-specific Alzheimer’s subtypes using multimodal transformer

Machado Reyes, D., Chao, H., Hahn, J., Shen, L., Yan, P., & Initiative, F. T. A. D. N. (2024) · Journal of Personalized Medicine

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 17