Publications

  1. Wu W, Hu D, Cong W, et al. Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns (N Y). 2022 Apr 6;3(5):100474. PMID: 35607623; PMCID: PMC9122961.
  2. Wu W, Hu D, Cong W, et al. Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns (N Y). 2022 Apr 6;3(5):100475. PMID: 35607615; PMCID: PMC9122974.
  3. Niu, C, Li, M, Fan, F, Wu, W, Guo, X, Lyu, Q. and Wang, G. Suppression of correlated noise with similarity-based unsupervised deep learning. arXiv:2011.03384, 2022. Minor revision, IEEE Transactions on Medical Imaging.
  4. Niu C, Wang G. Unsupervised contrastive learning based transformer for lung nodule detection. Phys Med Biol. 2022 Oct 7;67(20). doi: 10.1088/1361-6560/ac92ba. PMID: 36113445.
  5. Niu C, Shan H, Wang G. SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans Image Process. 2022 Nov 15;PP. doi: 10.1109/TIP.2022.3221290. Epub ahead of print. PMID: 36378790.
  6. Wang G, Badal A, Jia X, Maltz JS, Mueller K, Myers KJ, Niu C, Vannier MW, Yan PK, Yu Z, Zeng RP: Development of Metaverse for Intelligent Healthcare. Nature Machine Intelligence 4:922-929, https://doi.org/10.1038/s42256-022-00549-6, 2022.
  7. Bhosale S, Krishna A, Wang G, Mueller K: Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation. Fully Three-Dimensional Image Reconstruction, Stony Brook, NY, 2023, https://arxiv.org/abs/2310.16846.
  8. Krishna A, Yenneti S, Wang G, Mueller K: Novel Lung CT Image Synthesis at Full Hounsfield Range with Expert Guided Visual Turing Test. Fully Three-Dimensional Image Reconstruction, Stony Brook, NY, 2023, https://arxiv.org/abs/2310.16846.
  9. Krishna A, Yenneti S, Wang G, Mueller K: Image Factory: A Method for Synthesizing Novel CT Images with Anatomical Guidance. Medical Physics, https://doi.org/10.1002/mp.16864, 2023.
  10. Hu X, Zhong Y, Yang K, Jia X: On the optimal selection of energy thresholds for quantification of gold concentration in photon-counting-based CT. Fully Three-Dimensional Image Reconstruction, Stony Brook, NY, 2023, https://arxiv.org/abs/2310.16846.
  11. Bousse A, Kandarpa VSS, Rit S, Perelli A, Li MZ, Wang GB, Zhou J, Wang G: Systematic Review on Learning-based Spectral CT. IEEE Trans. Radiation and Plasma Medical Sciences, DOI:10.1109/TRPMS.2023.3314131, 2023.
  12. Xia W, Shi Y, Niu C, Cong W, Wang G: Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. arXiv preprint arXiv:2310.06949, 2023.
  13. Niu C, Xia W, Wang G: Variable discretization for self-supervised learning. In Proc. ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation Models, 2023.
  14. Niu C, Wang G: CT Multi-Task Learning with a Large Image-Text (LIT) Model. arXiv preprint arXiv:2304.02649, 2023.
  15. Krishna A, Wang G, Mueller K: Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis. International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, August 2024.
  16. Krishna S, Yenneti S, Wang G, Mueller K: Image factory: A method for synthesizing novel CT images with anatomical guidance. Medical Physics 51(5): 3464-3479, 2024.
  17. Zeng R, Badal A, Ezzati AO, Jia X, Krishna A, Mueller K, Myers KJ, Niu C, Selim M, Wang G, Xia W: Deep virtual CT workflow for evaluating AI in low-dose CT lung cancer screening: a 2D demonstration. (submitted) SPIE Medical Imaging Conference, 2025.
  18. Krishna A, Wang G, Mueller K: Guided Synthesis of Annotated Lung CT Images with Pathologies using a Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM). (submitted) Physics in Medicine and Biology, 2025.
  19. Hu X, Jia X: Spectral CT image reconstruction using a constrained optimization approach—An algorithm for AAPM 2022spectral CT grand challenge and beyond. Med. Phys., 51: 3376, 2024.
  20. Jia X, Cater B, Duffton A, Harris E, Hobbs R, Li H: Advancing the Collaboration between Imaging and Radiation Oncology. Seminars in Radiation Oncology, 34: 402, 2024.
  21. Peng Y, Dai Y, Zhang S, Deng J, Jia X: Joint k-ω Space Image Reconstruction and Data Fitting for Chemical Exchange Saturation Transfer Magnetic Resonance Imaging. Tomography, 10: 1123, 2024.
  22. Bousse A, Kandarpa VSS, Rit S, Perelli A, Li MZ, Wang GB, Zhou J, Wang G: Systematic Review on Learning-based Spectral CT. IEEE Trans. Radiation and Plasma Medical Sciences 8: 113-137, DOI:10.1109/TRPMS.2023.3314131, 2023.
  23. Niu C, Kaviani P, Lyu Q, Kalra MK, Whitlow CT, Wang G: Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. DOI:10.48550/arXiv.2409.18319, 2024.
  24. Shi Y, Niu C, Simpson AL, De Man B, Do R, Wang G: CT-based Anomaly Detection of Liver Tumors Using Generative Diffusion Prior. DOI:10.48550/arXiv.2408.00092, 2024.
  25. Wang G: Making “CASES” for AI in Medicine. Biomedical Engineering Frontiers, DOI:10.34133/bmef.0036, 2024.
  26. Liang YX, Niu C, Yan PK, Wang G: Flipover Outperforms Dropout in Deep Learning. Visual Computing for Industry, Biomedicine, and Art, DOI:10.1186/s42492-024-00153-y, 2024.
  27. Zhang JJ, Chao HQ, Wang G, Kalra MK, Yan PK: Revisiting Trustworthiness of Saliency Methods in Radiology AI. Radiology AI, DOI:10.1148/ryai.220221, 2024.
  28. Liang YX, Chao HQ, Zhang JJ, Wang G, Yan PK: Unbiasing fairness evaluation of radiology AI models. Meta-Radiology, DOI:10.1016/j.metrad.2024.100084, 2024.
  29. Selim M, Kc P, Zeng R: Image Resolution Analysis Using Line-pair and Disk-based MTF Methods For Deep Learning CT Image Denoising. International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, August 2024.
  30. Kc P, Zeng R, Soni N, Badano A: Fake detection in AI-assisted image recovery using scanning Fourier Ring Correlation (sFRC). TechRxiv, April 08, 2024, DOI: 10.36227/techrxiv.171259560.02243347/v1.