Xueqi Guo
Ph.D. Candidate, Yale University.
330 Cedar St, Room LMP108
Yale School of Medicine
New Haven, CT 06511
I am a final-year PhD candidate at the School of Engineering and Applied Science, Yale University, where I am fortunately co-advised by Prof. Chi Liu at Yale Positron Emission Tomography (PET) Center and Prof. Nicha Dvornek at Yale Image Processing and Analysis Group. In summer 2023, I was an AI software engineer intern at Siemens Healthineers (Knoxville, TN) working on generative data harmonization. In summer 2022, I was an image analytics intern at Siemens Healthineers (Malvern, PA) working on weakly-supervised segmentation. Before coming to Yale, I did my undergraduate study at Shanghai Jiao Tong University fortunately supervised by Prof. Jun Zhao. In summer 2018, I was an undergraduate research assistant at Johns Hopkins University fortunately supervised by Prof. Web Stayman working on CT denoising network analysis.
My research interests are medical image analysis and medical computer vision, specializing in but not limited to registration, generation, segmentation, and denoising for dynamic PET, CT, and MRI.
I am actively looking for full-time positions as an AI/ML scientist/engineer. Please feel free to contact me at xueqi.guo@yale.edu and find my CV here.
News
Nov 6, 2023 | One paper accepted by IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS). |
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Oct 12, 2023 | Awarded 1st place in the MICCAI Student Board 3-min thesis competition. |
Aug 18, 2023 | One paper accepted by MICCAI 2023 MLMI workshop. |
Aug 8, 2023 | One paper accepted by MICCAI 2023 SASHIMI workshop. |
Jul 29, 2023 | One paper accepted by MICCAI 2023 MiLLanD workshop. |
Jul 1, 2023 | One paper accepted by IEEE Transactions on Medical Imaging (IF=11.037). |
Jun 30, 2023 | Three abstracts accepted by the 2023 IEEE Medical Imaging Conference (MIC). |
May 30, 2023 | One paper accepted by Medical Image Analysis (IF=13.828). |
May 25, 2023 | One paper early accepted at MICCAI 2023. |
Mar 24, 2023 | Four abstracts accepted by Society of Nuclear Medicine & Molecular Imaging (SNMMI) Annual Meeting 2023. |
Selected publications
- MCP-Net: Introducing Patlak Loss Optimization to Whole-body Dynamic PET Inter-frame Motion CorrectionIEEE Transactions on Medical Imaging (TMI), 2023
- SEAM-STRESS: A Weakly Supervised Framework for Interstitial Lung Disease Segmentation in Chest CTIn 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
- Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural networkMedical Image Analysis (MedIA), 2022
- Characterization of Early Stage Parkinson’s Disease from Resting-state fMRI Data Using a Long Short-term Memory NetworkFrontiers in Neuroimaging (Front. Neuroimg.), 2022
- Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric ImagingIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2022