Grants & Projects per year
Personal profile
Research interests
- Low-dose computed tomography image reconstruction
- Quantitative image reconstruction for single photon emission computed tomography
- High resolution positron emission tomography image reconstruction
- Segmentation of tissue mixtures from multi-spectral magnetic resonance images
- Computer aided detection of abnormality and diagnosis on the detected abnormality
- Development of virtual colonoscopy systems
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Collaborations and top research areas from the last five years
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Grants & Projects
- 22 Finished
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Radiogenomics of colorectal polyps to assess benign proliferative vs. premalignant states
Liang, J. Z. (PI)
04/1/22 → 06/30/23
Project: Research
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Radiogenomics of Colorectal Polyps to Assess Benign Proliferative vs. Premalignant States (Year 5)
Liang, J. Z. (PI)
09/1/21 → 04/29/22
Project: Research
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Radiogenomics of Colorectal Polyps to Assess Benign Proliferative vs. Premalignant States (Year 4)
Liang, J. Z. (PI)
09/1/20 → 08/31/21
Project: Research
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Radiogenomics of Colorectal Polyps to Assess Benign Proliferative vs. Premalignant States
Liang, J. Z. (PI)
09/1/19 → 08/31/20
Project: Research
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Radiogenomics of Colorectal Polyps to Assess Benign Proliferative vs. Premalignant States
Liang, J. Z. (PI)
09/1/18 → 08/31/19
Project: Research
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Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images
Cao, W., Pomeroy, M. J., Liang, Z., Gao, Y., Shi, Y., Tan, J., Han, F., Wang, J., Ma, J., Lu, H., Abbasi, A. F. & Pickhardt, P. J., Apr 2025, In: Journal of Imaging Informatics in Medicine. 38, 2, p. 804-818 15 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Leveraging prior knowledge in machine intelligence for improving cancer diagnostic accuracy
Liang, Z. J., Chang, S., Gao, Y., Cao, W., Pomeroy, M. J., Kuo, L. C. R., Li, H., Li, L. C., Pickhardt, P. J., Kochi, M. H., Ferretti, J. A. & Gould, E. S., 2025, Medical Imaging 2025: Computer-Aided Diagnosis. Astley, S. M. & Wismuller, A. (eds.). SPIE, 1340739. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13407).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Leveraging prior knowledge in machine intelligence to improve lesion diagnosis for early cancer detection
Liang, Z. J., Chang, S., Gao, Y., Cao, W., Kuo, L. R., Pomeroy, M. J., Li, L. C., Abbasi, A. F., Bandovic, J., Reiter, M. J. & Pickhardt, P. J., Jul 2025, In: Medical Physics. 52, 7, e17841.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction
Shi, Y., Gao, Y., Xu, Q., Li, Y., Mou, X. & Liang, Z., 2024, In: IEEE Transactions on Medical Imaging. 43, 11, p. 3830-3842 13 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT †
Gao, Y., Lu, S., Shi, Y., Chang, S., Zhang, H., Hou, W., Li, L. & Liang, Z., Feb 2023, In: Sensors. 23, 3, 1374.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations