Jiaming Liu - Concepedia

Author

Jiaming Liu

Washington University in St. Louis ORCID

Also Known As

Gao, Sicheng, Jia-Ming Liu, Jiaming Liu, Liu Jiaming, Liu, Jiaming, Tong, Chengzhuo

120

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

Washington University in St. Louis Southern Medical University Mallinckrodt (United States)Los Alamos National Laboratory Nanjing Tech University

About

Jiaming Liu is an author at Washington University in St. Louis specializing in engineering, image analysis, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	16	879
2	Health Sciences	9	9	605
3	Biomedical Engineering	2	2	102
4	Computer Science	2	2	55
5	Medicine	1	1	14

Jiaming Liu

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Image Restoration Using Total Variation Regularized Deep Image Prior Jiaming Liu, Yu Sun, Xiaojian Xu, DeblurringImage ReconstructionImage AnalysisMachine LearningMedical Imaging	2019	179
RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth Jiaming Liu, Yu Sun, Cihat Eldeniz, IEEE Journal of Selected Topics in Signal Processing Image ReconstructionEngineeringMachine LearningLearned DenoisersImage Denoiser	2020	145
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, DeblurringStandard RgbMachine VisionImage AnalysisData Science	2019	101
CoIL: Coordinate-Based Internal Learning for Tomographic Imaging Yu Sun, Jiaming Liu, Mingyang Xie, IEEE Transactions on Computational Imaging Geometric LearningImage ReconstructionEngineeringMachine LearningContinuous Representation	2021	95
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Computed TomographyImage ReconstructionEngineeringLimited-angle Ct ReconstructionBiomedical Engineering	2023	74
Gas identification with drift counteraction for electronic noses using augmented convolutional neural network Lihang Feng, Haihang Dai, Xiang Song, Sensors and Actuators B Chemical Convolutional Neural NetworkGas IdentificationImage AnalysisMachine LearningEngineering	2021	65
SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors Zihui Wu, Yu Sun, Alex Matlock, IEEE Journal of Selected Topics in Signal Processing	2020	54
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images Max Torop, Satya V. V. N. Kothapalli, Yu Sun, Magnetic Resonance in Medicine	2020	32
SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees Jiaming Liu, Yu Sun, Weijie Gan, IEEE Transactions on Computational Imaging Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningIntensity Diffraction Tomography	2021	32
AI-Enabled Portable E-Nose Regression Predicting Harmful Molecules in a Gas Mixture Jilei Yang, Xuefeng Hu, Lihang Feng, ACS Sensors	2024	31

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