Liangqiong Qu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Medical Imaging

Organ Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Trans. Image Process.

Pattern Recognit.

Publications

Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Sarthak Pati, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas
Privacy preservation for federated learning in health care. Patterns 5 (7) (2024)
Tianlei Ma, Qi Ma, Zhen Yang, Jing J. Liang, Jun Fu, Yu Dou, Yanan Ku, Usman Ahmad, Liangqiong Qu
MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. CoRR (2024)
Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CoRR (2024)
Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. AAAI (2024)
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging 42 (7) (2023)
Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, Wenhao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tingyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition. CoRR (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL (2023)
Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. EMNLP (2023)
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
Residual Denoising Diffusion Models. CoRR (2023)
Jiawei Liu, Qiang Wang, Huijie Fan, Wentao Li, Liangqiong Qu, Yandong Tang
A Decoupled Multi-Task Network for Shadow Removal. IEEE Trans. Multim. 25 (2023)
Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR (2023)
Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
Relation constraint self-attention for image captioning. Neurocomputing 501 (2022)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR (2022)
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR (2022)
Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124 (2022)
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR (2022)
Yan-Ran Wang, Liangqiong Qu, Natasha Diba Sheybani, Xiaolong Luo, Jiangshan Wang, Kristina Elizabeth Hawk, Ashok Joseph Theruvath, Sergios Gatidis, Xuerong Xiao, Allison Pribnow, Daniel L. Rubin, Heike E. Daldrup-Link
Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI. CoRR (2022)
Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Addressing catastrophic forgetting for medical domain expansion. CoRR (2021)
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel L. Rubin
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CoRR (2021)
Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3 (1) (2021)
Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3 (2) (2021)
Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel L. Rubin
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging. CoRR (2021)
Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. CoRR (2021)
Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. CoRR (2021)
Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
Learning MRI Artifact Removal With Unpaired Data. CoRR (2021)
Shuai Wang, Yang Cong, Hancan Zhu, Xianyi Chen, Liangqiong Qu, Huijie Fan, Qiang Zhang, Mingxia Liu
Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI (2020)
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR (2020)
Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Thumbavanam Arun, Liangqiong Qu, Katharina Hoebel, Jay B. Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L. Rubin, Jayashree Kalpathy-Cramer
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. CoRR (2020)
Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67 (10) (2020)
Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39 (6) (2020)
Liangqiong Qu, Yongqin Zhang, Shuai Wang, Pew-Thian Yap, Dinggang Shen
Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains. Medical Image Anal. 62 (2020)
Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI. MICCAI (4) (2019)
Liangqiong Qu, Jiandong Tian, Huijie Fan, Wentao Li, Yandong Tang
Evaluation of shadow features. IET Comput. Vis. 12 (1) (2018)
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
A hand pose tracking benchmark from stereo matching. ICIP (2017)
Zhi Han, Jiandong Tian, Liangqiong Qu, Yandong Tang
A New Intrinsic-Lighting Color Space for Daytime Outdoor Images. IEEE Trans. Image Process. 26 (2) (2017)
Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal. CVPR (2017)
Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, Qingxiong Yang
RGBD Salient Object Detection via Deep Fusion. IEEE Trans. Image Process. 26 (5) (2017)
Jiandong Tian, Xiaojun Qi, Liangqiong Qu, Yandong Tang
New spectrum ratio properties and features for shadow detection. Pattern Recognit. 51 (2016)
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
3D Hand Pose Tracking and Estimation Using Stereo Matching. CoRR (2016)
Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, Qingxiong Yang
RGBD Salient Object Detection via Deep Fusion. CoRR (2016)
Zhigang Duan, Jiandong Tian, Liangqiong Qu, Yandong Tang, Yang Cong
Shadow generation on an image based on tricolor linear attenuation model. ICICS (2015)
Liangqiong Qu, Zhigang Duan, Jiandong Tian, Zhi Han, Yandong Tang
Object Color Constancy for Outdoor Multiple Light Sources. CCCV (2) (2015)
Liangqiong Qu, Jiandong Tian, Zhi Han, Yandong Tang
Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image. CoRR (2014)