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ORCIDShangqi Gao
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2020 – today
- 2025
[j9]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:
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging 44(3): 1257-1272 (2025)- [c9]Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang:
BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images. MICCAI (13) 2025: 45-54 - [c8]Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang:
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. MICCAI (1) 2025: 291-300 - [c7]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:
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. MICCAI (8) 2025: 363-373 - [c6]Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar:
Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks. MICCAI (12) 2025: 564-573 - [e1]Xiahai Zhuang, Wangbin Ding, Fuping Wu, Shangqi Gao, Lei Li, Sihan Wang:
Comprehensive Analysis and Computing of Real-World Medical Images - First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15548, Springer 2025, ISBN 978-3-031-87008-8 [contents] - [i14]Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang:
InDeed: Interpretable image deep decomposition with guaranteed generalizability. CoRR abs/2501.01127 (2025) - [i13]Sihan Wang, Suiyang Jiang, Yibo Gao, Boming Wang, Shangqi Gao, Xiahai Zhuang:
Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis. CoRR abs/2503.16547 (2025) - [i12]Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang:
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. CoRR abs/2505.14049 (2025) - [i11]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:
Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer. CoRR abs/2508.21581 (2025) - [i10]Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant Stewart, James O. Jones, Mireia Crispin-Ortuzar:
Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. CoRR abs/2509.25552 (2025) - 2024
- [c5]Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill:
Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. ISBI 2024: 1-5 - [i9]Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang:
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR abs/2407.07372 (2024) - 2023
- [j8]Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang:
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Anal. 89: 102875 (2023) - [j7]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. 89: 102889 (2023) - [j6]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1405-1423 (2023) - [c4]Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang:
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. SASHIMI@MICCAI 2023: 21-31 - [i8]Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang:
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. CoRR abs/2301.05392 (2023) - [i7]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR abs/2303.01710 (2023) - 2022
- [j5]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3224-3238 (2022) - [c3]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. MICCAI (5) 2022: 360-369 - [i6]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR abs/2204.00623 (2022) - [i5]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR abs/2206.04336 (2022) - 2021
- [c2]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops 2021: 373-381 - [i4]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR abs/2104.08575 (2021) - [i3]Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang:
A low-rank representation for unsupervised registration of medical images. CoRR abs/2105.09548 (2021) - 2020
- [j4]Shangqi Gao, Xiahai Zhuang:
Robust approximations of low-rank minimization for tensor completion. Neurocomputing 379: 319-333 (2020) - [j3]Shangqi Gao, Qibin Fan:
Robust Schatten-p Norm Based Approach for Tensor Completion. J. Sci. Comput. 82(1): 11 (2020) - [i2]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. CoRR abs/2011.12610 (2020)
2010 – 2019
- 2019
- [j2]Shangqi Gao, Qibin Fan:
Robust balancing scheme-based approach for tensor completion. Neurocomputing 330: 328-336 (2019) - [c1]Shangqi Gao, Xiahai Zhuang:
Multi-Scale Deep Neural Networks for Real Image Super-Resolution. CVPR Workshops 2019: 2006-2013 - [i1]Shangqi Gao, Xiahai Zhuang:
Multi-scale deep neural networks for real image super-resolution. CoRR abs/1904.10698 (2019) - 2018
- [j1]Shangqi Gao, Qibin Fan:
A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. J. Sci. Comput. 75(1): 43-64 (2018)
Coauthor Index
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last updated on 2025-12-28 01:40 CET by the dblp team
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