Shangqi Gao - RankMe

37 papers Journal 26Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Open World MRI Reconstruction with Bias-Calibrated Adaptation. CoRR Jiyao Liu, Shangqi Gao, Lihao Liu, Junzhi Ning, Jinjie Wei, Junjun He, Xiahai Zhuang, Ningsheng Xu
2025	—	`conf`	BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images. MICCAI (13) Yuanye Liu, Ruoxuan Zhen, Shangqi Gao, Xinzhe Luo, Xin Gao, Qingchao Chen, Xiahai Zhuang
2025	—	`ed.`	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 CARE@MICCAI Xiahai Zhuang, Wangbin Ding, Fuping Wu, Shangqi Gao, Lei Li, Sihan Wang
2025	J	`jnl`	Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis. CoRR Sihan Wang, Suiyang Jiang, Yibo Gao, Boming Wang, Shangqi Gao, Xiahai Zhuang
2025	—	`conf`	Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. AMAI@MICCAI Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar
2025	J	`jnl`	Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. CoRR Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant D. Stewart, James O. Jones, Mireia Crispin-Ortuzar
2025	J	`jnl`	InDeed: Interpretable image deep decomposition with guaranteed generalizability. CoRR Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang
2025	J	`jnl`	Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer. CoRR 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
2025	—	`conf`	Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. MICCAI (1) Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang
2025	J	`jnl`	Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. CoRR Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Sihan Wang, Xiahai Zhuang
2025	J	`jnl`	Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging 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
2025	—	`conf`	Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. MICCAI (8) 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
2025	—	`conf`	Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks. MICCAI (12) Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar
2025	J	`jnl`	Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization. CoRR Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen
2025	J	`jnl`	R CoRR Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao
2024	—	`conf`	Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. ISBI Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill
2024	J	`jnl`	Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang
2023	J	`jnl`	BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
2023	J	`jnl`	BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
2023	J	`jnl`	Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Shangqi Gao, Xiahai Zhuang
2023	J	`jnl`	Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. CoRR Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
2023	—	`conf`	Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. SASHIMI@MICCAI Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang
2023	J	`jnl`	Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Anal. Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
2022	J	`jnl`	Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR Shangqi Gao, Xiahai Zhuang
2022	—	`conf`	Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. MICCAI (5) Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
2022	J	`jnl`	Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
2022	J	`jnl`	Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Shangqi Gao, Xiahai Zhuang
2021	J	`jnl`	A low-rank representation for unsupervised registration of medical images. CoRR Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang
2021	—	`conf`	VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
2021	J	`jnl`	VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
2020	J	`jnl`	Rank-One Network: An Effective Framework for Image Restoration. CoRR Shangqi Gao, Xiahai Zhuang
2020	J	`jnl`	Robust Schatten-p Norm Based Approach for Tensor Completion. J. Sci. Comput. Shangqi Gao, Qibin Fan
2020	J	`jnl`	Robust approximations of low-rank minimization for tensor completion. Neurocomputing Shangqi Gao, Xiahai Zhuang
2019	—	`conf`	Multi-Scale Deep Neural Networks for Real Image Super-Resolution. CVPR Workshops Shangqi Gao, Xiahai Zhuang
2019	J	`jnl`	Multi-scale deep neural networks for real image super-resolution. CoRR Shangqi Gao, Xiahai Zhuang
2019	J	`jnl`	Robust balancing scheme-based approach for tensor completion. Neurocomputing Shangqi Gao, Qibin Fan
2018	J	`jnl`	A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. J. Sci. Comput. Shangqi Gao, Qibin Fan