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ORCIDLiu Li 0001
Person information
- affiliation: Imperial College London, Department of Computing, UK
Other persons with the same name
- Liu Li — disambiguation page
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2020 – today
- 2025
[j8]Qiang Ma
, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. Medical Image Anal. 100: 103394 (2025)- [j7]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) - [j6]Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz:
Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic. IEEE Trans. Medical Imaging 44(12): 5221-5232 (2025) - [c12]Mengyun Qiao, Jin Zheng, Weitong Zhang, Qiang Ma, Liu Li, Bernhard Kainz, Declan P. O'Regan, Paul M. Matthews, Steven A. Niederer, Wenjia Bai:
Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. MICCAI (16) 2025: 343-353 - [i7]Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra:
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. CoRR abs/2505.02784 (2025) - [i6]Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz:
Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. CoRR abs/2507.23763 (2025) - 2024
- [c11]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) 2024: 670-680 - [c10]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. MICCAI (11) 2024: 766-777 - [c9]Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz:
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. NeurIPS 2024 - [i5]Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz:
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR abs/2406.13652 (2024) - [i4]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR abs/2409.09796 (2024) - 2023
- [j5]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. IEEE Trans. Medical Imaging 42(2): 430-443 (2023) - [c8]Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - [c7]Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. MICCAI (4) 2023: 312-322 - 2022
- [j4]Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li, Mengxian He, Ningli Wang, Hanruo Liu, Zulin Wang:
Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images. IEEE J. Biomed. Health Informatics 26(5): 2216-2227 (2022) - [c6]Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary:
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - [i3]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR abs/2202.08329 (2022) - [i2]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - 2021
- [j3]Yongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li, Huiqi Li, Xin Ji, Zhijun Wang, Li Li, Robert N. Weinreb, Ningli Wang:
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. npj Digit. Medicine 4 (2021) - [j2]Xiaofei Wang, Lai Jiang, Liu Li, Mai Xu, Xin Deng, Lisong Dai, Xiangyang Xu, Tianyi Li, Yichen Guo, Zulin Wang, Pier Luigi Dragotti:
Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis. IEEE Trans. Medical Imaging 40(9): 2463-2476 (2021) - [c5]Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li:
Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images. AAAI 2021: 2826-2834 - [c4]Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 221-230 - 2020
- [j1]Liu Li, Mai Xu, Hanruo Liu, Yang Li, Xiaofei Wang, Lai Jiang, Zulin Wang, Xiang Fan, Ningli Wang:
A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection. IEEE Trans. Medical Imaging 39(2): 413-424 (2020) - [c3]Liu Li, Xiaofei Wang, Mai Xu, Hanruo Liu, Ximeng Chen:
DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. MICCAI (5) 2020: 626-635
2010 – 2019
- 2019
- [c2]Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu:
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. CVPR 2019: 10571-10580 - [c1]Xiaofei Wang, Mai Xu, Liu Li, Zulin Wang, Zhenyu Guan:
Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis. MICCAI (1) 2019: 423-431 - [i1]Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu:
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model. CoRR abs/1903.10831 (2019)
Coauthor Index
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