| Mikhail Chalakov | BS, UW-Madison | Spring 2026 | ODE and SDE-based Diffusion Models as Deblurrers | Ulugbek S. Kamilov |
| Saksham Mittal | BS, UW-Madison | Spring 2026 | Decoupled Noise Injection in PnP | Chicago Park, Ulugbek S. Kamilov |
| Weining Wang | MS, WashU | Spring 2025 – Fall 2025 | Generative MRI Reconstruction | Shirin Shoushtari, Ulugbek S. Kamilov |
| Eugene Joo | BS, WashU | Fall 2024 – Spring 2025 | Super-Resolution for Magnetic Resonance Imaging | Edward Chandler, Ulugbek S. Kamilov |
| Haoyu Zhang | MS, WashU | Spring 2024 – Spring 2025 | Learning-based MRI Reconstruction Method with Coil Sensitivity Estimation and Prior Adaptation | Weijie Gan, Ulugbek S. Kamilov |
| Kevin (Yi) Wang | BS, WashU | Spring 2025 | Out-of-Distribution Detection in Diffusion models | Shirin Shoushtari, Ulugbek S. Kamilov |
| Naveen Asokan | MS, WashU | Spring 2024 – Spring 2025 | Adaptive Noise Estimation and Denoising with Deep Learning for NMR Spectroscopy | Shirin Shoushtari, Edward Chandler, Ulugbek S. Kamilov |
| Albert Peng | BS, WashU | Fall 2024 | Self-Supervised Learning for MRI | Yuyang Hu, Ulugbek S. Kamilov |
| Anqi Li | WashU | Fall 2024 | Posterior Sampling using Diffusion Models | Weijie Gan, Ulugbek S. Kamilov |
| Daedalus Chen | BS, WashU | Fall 2024 | Advanced Image Segmentation of Placenta | Yuyang Hu, Ulugbek S. Kamilov |
| David Chen | WashU | Fall 2024 | Generative AI for Art | Shirin Shoushtari, Ulugbek S. Kamilov |
| David Wang | BS, WashU | Spring 2024 – Fall 2024 | Diffusion Models for Medical Image Synthesis | Weijie Gan, Ulugbek S. Kamilov |
| Hanson Li | BS, WashU | Fall 2024 | Generative Models for Texture Synthesis | Edward Chandler, Ulugbek S. Kamilov |
| Harry Gao | BS, WashU | Spring 2022 – Fall 2024 | Generative Models for Computational Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Jason Zhao | BS, WashU | Fall 2024 | Stabilizing Langevin Dynamics for Image Sampling | Chicago Park, Ulugbek S. Kamilov |
| Jianan Wu | WashU | Spring 2024 – Fall 2024 | Implicit Neural Representations for MRI | Ulugbek S. Kamilov |
| Kevin Kotzbauer | WashU | Fall 2024 | Robust Diffusion Inverse Solvers for Computational Imaging | Shirin Shoushtari, Ulugbek S. Kamilov |
| Kyle Wolford | WashU | Fall 2024 | Image Registration in Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Rahul Chavali | BS, WashU | Fall 2024 | Advanced Spectral Unmixing for Hyperspectral Imaging | Edward Chandler, Ulugbek S. Kamilov |
| Yusheng Tan | WashU | Fall 2024 | Optimal Restoration Operators for Computational Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Vincent Siu | BS, WashU | Spring 2023 – Spring 2024 | Deep Learning for Diagnosis of Post-Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Chang (Jason) Ti | MS, WashU | Spring 2023 | Interactive Digit Recognition for ML Education | Flora Sun, Ulugbek S. Kamilov |
| Chaoye Jin | WashU | Fall 2022 – Spring 2023 | Breast Cancer Risk Assessment using Machine Learning | Shirin Shoushtari, Ulugbek S. Kamilov |
| Eddy Sul | WashU | Spring 2023 | Deep Learning for Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Emma McMillian | WashU | Spring 2023 | Noise-Adaptive Deep Denoisers for Imaging | Yuyang Hu, Ulugbek S. Kamilov |
| Junyi Yao | WashU | Spring 2023 | Deep Learning for the Next-Generation Scientific Imaging | Shirin Shoushtari, Ulugbek S. Kamilov |
| Kerri Prinos | WashU | Spring 2023 | Deep Learning for 3D Quantitative Brain MRI | Yuyang Hu, Ulugbek S. Kamilov |
| Nan Huang | WashU | Fall 2022 – Spring 2023 | Continuous Regularizer for Inverse Problems | Weijie Gan, Ulugbek S. Kamilov |
| X. Yang | WashU | Spring 2023 | Detecting Multiple Myeloma using Deep Image Analysis | Flora Sun, Ulugbek S. Kamilov |
| Yubo Wang | WashU | Fall 2022 – Spring 2023 | Deep Learning for the Next-Generation Microscopy | Jiaming Liu, Ulugbek S. Kamilov |
| Z. Xiang | WashU | Spring 2023 | Machine Learning Biomarkers for Fetal Growth Restrictions | Yuyang Hu, Ulugbek S. Kamilov |
| Eddie Choi | BS, WashU | Fall 2022 | Deep Learning for Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Henry Li | BS, WashU | Fall 2022 | Quantitative Brain MRI using Deep Learning | Yuyang Hu, Ulugbek S. Kamilov |
| Hugh James | MS, WashU | Fall 2021 – Fall 2022 | Investigating Applications of Deep Learning for Diagnosis of Post Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Minghao Yu | MS, WashU | Fall 2022 | Deep Complex Neural Networks for Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Yangruo Ma | MS, WashU | Fall 2022 | Image Restoration using Generative Models | Shirin Shoushtari, Ulugbek S. Kamilov |
| Zihao Zou | MS, WashU | Spring 2022 – Fall 2022 | Memory and Computationally Efficient Deep Learning | Jiaming Liu, Ulugbek S. Kamilov |
| Julia Zeng | BS, WashU | Spring 2022 | Memory-Efficient Deep Image Restoration | Xiaojian Xu, Ulugbek S. Kamilov |
| Xiangyu Chen | MS, WashU | Spring 2022 | Deep Learning for the Next-Generation Microscopy | Jiaming Liu, Ulugbek S. Kamilov |
| Yixuan Luo | MS, WashU | Fall 2021 – Spring 2022 | Deep Learning for Calf Muscle and Fat Measurement | Xiaojian Xu, Ulugbek S. Kamilov |
| Dian Jin | WashU | Fall 2021 | Learning Optimal Sampling Strategies for MRI | Weijie Gan, Ulugbek S. Kamilov |
| Hao Qin | MS, WashU | Fall 2021 | Asynchronous Plug-and-Play Priors with Theoretical Guarantees | Yu Sun, Ulugbek S. Kamilov |
| Jiwon Choi | BS, WashU | Fall 2021 | Regularization by Artifact Removal for PET | Weijie Gan, Ulugbek S. Kamilov |
| T. Lee | WashU | Fall 2021 | Deep Learning for Abdominal Visceral and Subcutaneous Fat Measurement | Xiaojian Xu, Ulugbek S. Kamilov |
| Wentao Shangguan | MS, WashU | Fall 2020 – Fall 2021 | NeVR: Learning Continuous Neural Video Representation with Local Feature Codes for Video Interpolation | Yu Sun, Ulugbek S. Kamilov |
| Xinhan Huang | MS, WashU | Fall 2021 | Implementing Optimization Algorithms in Jupyter Notebook | Ulugbek S. Kamilov |
| Yanpeng Yuan | BS, WashU | Spring 2021 – Fall 2021 | Deep Learning for Diagnosis of Post-Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Renhao Liu | MS, WashU | Summer 2020 – Summer 2021 | Regularized Coordinate-based Neural Representation Learning for Optical Tomography | Yu Sun, Ulugbek S. Kamilov |
| Ann Zhou | BS, WashU | Spring 2021 | Tunable Deep Learning for Computational Imaging | Xiaojian Xu, Ulugbek S. Kamilov |
| Ziwen Wang | BS, WashU | Fall 2020 – Spring 2021 | Low-Complexity Learning for Large-Scale Imaging | Jiaming Liu, Yu Sun, Ulugbek S. Kamilov |
| Eric Tang | WashU | Fall 2019 – Fall 2020 | Motion-Artifact Correction in Quantitative MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Mingyang Xie | BS, WashU | Fall 2019 – Fall 2020 | Autocalibration for Regularization by Denoising | Yu Sun, Ulugbek S. Kamilov |
| Yukun Li | WashU | Spring 2020 – Fall 2020 | Cycle GAN for Quantitative MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Abdalla Bani | WashU | Spring 2020 | Design of GAN Priors for Iterative Algorithms | Jiaming Liu, Ulugbek S. Kamilov |
| Guangyu Meng | WashU | Spring 2020 | End-to-End Training of VAE-GAN Priors | Jiaming Liu, Ulugbek S. Kamilov |
| Rob Schurz | WashU | Spring 2020 | Proximal Optimization for Computerized Tomography | Jiaming Liu, Ulugbek S. Kamilov |
| Yongcheng Song | WashU | Spring 2020 | Fast Automatic Focal Plane Selection for Brightfield Microscopy using Machine Learning | Xiaojian Xu, Ulugbek S. Kamilov |
| Zihui Wu | BS, WashU | Fall 2018 – Spring 2020 | Stochastic Algorithms using Deep Priors | Yu Sun, Ulugbek S. Kamilov |
| Max Torop | MS, WashU | Fall 2019 | Computational Methods for Quantitative Brain MR Imaging | Yu Sun, Ulugbek S. Kamilov |
| Nina Woythaler | BS, WashU | Fall 2019 | Motion Artifact Reduction in Quantitative Brain MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Ryogo Suzuki | MS, WashU | Fall 2019 | Generative Adversarial Networks for Image Restoration | Xiaojian Xu, Ulugbek S. Kamilov |
| Y. Jia | WashU | Fall 2019 | Large-Scale Optimization for Computational Imaging | Ulugbek S. Kamilov |
| Yiran Sun | MS, WashU | Fall 2019 | Asynchronous Large-Scale Optimization for Imaging | Yu Sun, Ulugbek S. Kamilov |
| Shiqi Xu | MS, WashU | Spring 2018 – Spring 2019 | Regularized Fourier Ptychographic Microscopy | Ulugbek S. Kamilov |
| Fa Long | MS, WashU | Fall 2018 | Convolutional Dictionary Learning for Image Reconstruction | Xiaojian Xu, Ulugbek S. Kamilov |
| Fangying Zhai | MS, WashU | Fall 2018 | Image Restoration with GANs | Yu Sun, Ulugbek S. Kamilov |
| Hanrui Zou | MS, WashU | Fall 2018 | Unsupervised Deep Image Learning | Yu Sun, Ulugbek S. Kamilov |
| Jerry Xing | MS, WashU | Fall 2018 | Learning for MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Melena Abijaoude | MS, WashU | Fall 2018 | Distributed Algorithms for Nonconvex Stochastic Optimization | Ulugbek S. Kamilov |