Shangqi Gao

According to our database, Shangqi Gao authored at least 30 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma.

Francesca Fati, Felipe Coutinho, Marika Reinius, Marina Rosanu, Gabriel Funingana, Luigi De Vitis, Gabriella Schivardi, Hannah Clayton, Alice Traversa, Zeyu Gao, Guilherme Penteado, Shangqi Gao, Francesco Pastori, Ramona Woitek, Maria Cristina Ghioni, Giovanni Damiano Aletti, Mercedes Jimenez-Linan, Sarah Burge, Nicoletta Colombo, Evis Sala, Maria Francesca Spadea, Timothy L. Kline, James D. Brenton, Jaime Cardoso, Francesco Multinu, Elena De Momi, Mireia Crispin-Ortuzar, Inês Prata Machado

CoRR, April, 2026

Open World MRI Reconstruction with Bias-Calibrated Adaptation.

Jiyao Liu, Shangqi Gao, Lihao Liu, Junzhi Ning, Jinjie Wei, Junjun He, Xiahai Zhuang, Ningsheng Xu

CoRR, March, 2026

2025

Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen

CoRR, December, 2025

R²Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection.

Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao

CoRR, November, 2025

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer.

Daniël Boeke, Cedrik Blommestijn, Rebecca Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Inês Prata Machado

CoRR, August, 2025

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.

Kelly Payette, Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Bran Li, Matthew J. Barkovich, Liu Li, Maik Dannecker, Chen Chen, Cheng Ouyang, Niccolò McConnell, Alina Dana Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbeláez, Wenying Lu, Wenhao Zhang, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, András Jakab

IEEE Trans. Medical Imaging, March, 2025

Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis.

Sihan Wang, Suiyang Jiang, Yibo Gao, Boming Wang, Shangqi Gao, Xiahai Zhuang

CoRR, March, 2025

InDeed: Interpretable image deep decomposition with guaranteed generalizability.

Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang

CoRR, January, 2025

Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images.

Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration.

Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification.

Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer.

Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar

Proceedings of the Applications of Medical Artificial Intelligence, 2025

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks.

Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Trustworthy Contrast-enhanced Brain MRI Synthesis.

Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang

CoRR, 2024

Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks.

Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.

Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang

Medical Image Anal., October, 2023

BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability.

Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang

Medical Image Anal., October, 2023

Bayesian Image Super-Resolution With Deep Modeling of Image Statistics.

Shangqi Gao, Xiahai Zhuang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior.

Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang

CoRR, 2023

Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN.

Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022

Rank-One Network: An Effective Framework for Image Restoration.

Shangqi Gao, Xiahai Zhuang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation.

Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

A low-rank representation for unsupervised registration of medical images.

Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang

CoRR, 2021

VSpSR: Explorable Super-Resolution via Variational Sparse Representation.

Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Robust Schatten-p Norm Based Approach for Tensor Completion.

Shangqi Gao, Qibin Fan

J. Sci. Comput., 2020

Robust approximations of low-rank minimization for tensor completion.

Shangqi Gao, Xiahai Zhuang

Neurocomputing, 2020

2019

Robust balancing scheme-based approach for tensor completion.

Shangqi Gao, Qibin Fan

Neurocomputing, 2019

Multi-Scale Deep Neural Networks for Real Image Super-Resolution.

Shangqi Gao, Xiahai Zhuang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion.

Shangqi Gao, Qibin Fan

J. Sci. Comput., 2018