Xueqi Guo

Research Scientist, Siemens Healthineers.

IMG_4157.JPG

40 Liberty Blvd

Malvern, PA 19355

Xueqi is an AI/ML Scientist at Siemens Healthineers (Malvern, PA) working on improving segmentation algorithms with fast inference and improved accuracy, under weakly supervised or unsupervised learning. She obtained her PhD at the School of Engineering and Applied Science, Yale University, where she is co-advised by Prof. Chi Liu at Yale Positron Emission Tomography (PET) Center and Prof. Nicha Dvornek at Yale Image Processing and Analysis Group. She was a summer intern at Siemens Healthineers in 2022 and 2023 working on generative data harmonization and weakly-supervised segmentation. Before coming to Yale, she did her undergraduate study at Shanghai Jiao Tong University. Her 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.

News

Mar 6, 2024 Three abstracts accepted by Society of Nuclear Medicine & Molecular Imaging (SNMMI) Annual Meeting 2024.
Mar 6, 2024 One paper accepted by IEEE Transactions on Medical Imaging (IF=11.037).
Dec 6, 2023 One paper accepted by Medical Image Analysis (IF=13.828).
Nov 6, 2023 One paper accepted by IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS).
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).

Selected publications

  1. MCP-Net: Introducing Patlak Loss Optimization to Whole-body Dynamic PET Inter-frame Motion Correction
    Xueqi Guo, Bo Zhou, Xiongchao Chen, Ming-Kai Chen, Chi Liu, and Nicha C Dvornek
    IEEE Transactions on Medical Imaging (TMI), 2023
    Paper
  2. TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
    Xueqi Guo, Luyao Shi, Xiongchao Chen, Bo Zhou, Qiong Liu, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward Miller, Albert Sinusas, and 3 more authors
    In 2023 Simulation and Synthesis in Medical Imaging MICCAI Workshop (SASHIMI), 2023
    Paper Code
  3. SEAM-STRESS: A Weakly Supervised Framework for Interstitial Lung Disease Segmentation in Chest CT
    Xueqi Guo, Mohamad Abdi, Yoshihisa Shinagawa, Anna Jerebko, and Sepehr Farhand
    In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
    Paper
  4. MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
    Xueqi Guo, Bo Zhou, Xiongchao Chen, Chi Liu, and Nicha C Dvornek
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, Early acceptance top 13%), 2022
    Paper Code
  5. Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network
    Xueqi Guo, Bo Zhou, David Pigg, Bruce Spottiswoode, Michael E Casey, Chi Liu, and Nicha C Dvornek
    Medical Image Analysis (MedIA), 2022
    Paper
  6. Characterization of Early Stage Parkinson’s Disease from Resting-state fMRI Data Using a Long Short-term Memory Network
    Xueqi Guo, Sule Tinaz, and Nicha C Dvornek
    Frontiers in Neuroimaging (Front. Neuroimg.), 2022
    Paper
  7. Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging
    Xueqi Guo, Jing Wu, Ming-Kai Chen, Qiong Liu, John A Onofrey, Darko Pucar, Yulei Pang, David Pigg, Michael E Casey, Nicha C Dvornek, and 1 more author
    IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2022
    Paper
  8. Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
    Xiongchao Chen, Bo Zhou, Huidong Xie, Xueqi Guo, Jiazhen Zhang, Albert J Sinusas, John A Onofrey, and Chi Liu
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
    Paper Code