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publications
The problem of hidden noise in MR image reconstruction
Published in Proc. International Society for Magnetic Resonance in Medicine (ISMRM), 2023
Conference work examining how hidden noise in reference images affects the evaluation of MR image reconstruction.
Recommended citation: J. Wang, D. An, J. P. Haldar. (2023). "The problem of hidden noise in MR image reconstruction." Proc. International Society for Magnetic Resonance in Medicine (ISMRM).
The "hidden noise" problem in MR image reconstruction
Published in Magnetic Resonance in Medicine, 2024
Reveals how hidden noise in reference images biases full-reference metrics (RMSE/SSIM), leading to mis-ranked reconstructions. Selected as MRM Highlights, 2025.
Recommended citation: J. Wang, D. An, J. P. Haldar. (2024). "The ‘hidden noise’ problem in MR image reconstruction." Magnetic Resonance in Medicine, 92(3), 982-996.
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TRUST: Transformer-Driven U-Net for Sparse Target Recovery
Published in Under review at ICLR, 2026 (arXiv:2506.01112), 2025
A hybrid ViT-encoder/U-Net-decoder with adaptive pooling and attention-guided skip connections for sparse target recovery. Under review at ICLR, 2026.
Recommended citation: D. An, D. Poppert, J. Li, M. Foster, T. D. Tran. (2025). "TRUST: Transformer-Driven U-Net for Sparse Target Recovery." Under review at ICLR, 2026. arXiv:2506.01112.
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Motion Compensation for Synthetic Aperture Radar with the Vision Transformer
Published in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025
Applies the Vision Transformer to motion compensation for synthetic aperture radar imaging.
Recommended citation: D. Poppert, D. An, E. D. Jansing, T. D. Tran. (2025). "Motion Compensation for Synthetic Aperture Radar with the Vision Transformer." IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
A Minimally-Invasive Lensless Epi-Fluorescent Microendoscope Leveraging Learned Sensing
Published in Under review at Optica, 2025, 2025
A minimally-invasive lensless epi-fluorescent microendoscope built on learned sensing for fluorescence imaging. Under review at Optica, 2025.
Recommended citation: J. Li, D. An, M. Foster, T. D. Tran, et al. (2025). "A Minimally-Invasive Lensless Epi-Fluorescent Microendoscope Leveraging Learned Sensing." Under review at Optica.
Region-of-Interest Sparse Reconstruction for Lensless Coded-Aperture Optical Imaging
Published in 59th Asilomar Conference on Signals, Systems, and Computers, 2025
Region-of-interest sparse reconstruction enabling efficient recovery for lensless coded-aperture optical imaging.
Recommended citation: D. An, D. Poppert, J. Li, J. Pham, B. Sun, M. Foster, T. D. Tran. (2025). "Region-of-Interest Sparse Reconstruction for Lensless Coded-Aperture Optical Imaging." 59th Asilomar Conference on Signals, Systems, and Computers, pp. 1517-1521.
Attention Networks for Spotlight SAR Motion Compensation
Published in 59th Asilomar Conference on Signals, Systems, and Computers, 2025
Attention networks for motion compensation in spotlight synthetic aperture radar imaging.
Recommended citation: D. Poppert, D. An, T. D. Tran. (2025). "Attention Networks for Spotlight SAR Motion Compensation." 59th Asilomar Conference on Signals, Systems, and Computers.
From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
Published in International Conference on Learning Representations (ICLR), 2026
Introduces iterative refinement to autoregressive image generation by reformulating generation as a Markov process over overlapping tensors.
Recommended citation: C. Cheng, L. Song, D. An, Y. Xiao, X. Zhang, H. Sun, Y. Shan. (2026). "From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation." International Conference on Learning Representations (ICLR).
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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