Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. - Liu Li 001; Mai Xu; Xiaofei Wang 004; Lai Jiang 004; Hanruo Liu (CVPR, 2019)

Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis. - Xiaofei Wang 004; Mai Xu; Liu Li 001; Zulin Wang; Zhenyu Guan 002 (MICCAI (1), 2019)

DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. - Liu Li 001; Xiaofei Wang 004; Mai Xu; Hanruo Liu; Ximeng Chen (MICCAI (5), 2020)

A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection. - Liu Li 001; Mai Xu; Hanruo Liu; Yang Li 010; Xiaofei Wang 004; Lai Jiang 004; Zulin Wang; Xiang Fan; Ningli Wang (IEEE Trans. Medical Imaging, 2020)

Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images. - Xiaofei Wang 004; Mai Xu; Jicong Zhang; Lai Jiang 004; Liu Li 001 (AAAI, 2021)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li 001; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (UNSURE/PIPPI@MICCAI, 2021)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Yongli Xu; Man Hu 003; Hanruo Liu; Hao Yang 008; Huaizhou Wang; Shuai Lu 003; Tianwei Liang; Xiaoxing Li; Mai Xu; Liu Li 001; Huiqi Li; Xin Ji; et al. (npj Digit. Medicine, 2021)

Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis. - Xiaofei Wang 004; Lai Jiang 004; Liu Li 001; Mai Xu; Xin Deng 002; Lisong Dai; Xiangyang Xu; Tianyi Li 004; Yichen Guo; Zulin Wang; Pier Luigi Dragotti (IEEE Trans. Medical Imaging, 2021)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li 001; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li 001; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images. - Xiaofei Wang 004; Mai Xu; Jicong Zhang; Lai Jiang 004; Liu Li 001; Mengxian He; Ningli Wang; Hanruo Liu; Zulin Wang (IEEE J. Biomed. Health Informatics, 2022)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li 001; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. - Qiang Ma 004; Liu Li 001; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (4), 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li 001; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li 001; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. - Qiang Ma 004; Liu Li 001; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (11), 2024)

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. - Weitong Zhang; Chengqi Zang; Liu Li 001; Sarah Cechnicka; Cheng Ouyang; Bernhard Kainz (NeurIPS, 2024)

Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. - Mengyun Qiao; Jin Zheng; Weitong Zhang; Qiang Ma 004; Liu Li 001; Bernhard Kainz; Declan P. O'Regan; Paul M. Matthews; Steven A. Niederer; Wenjia Bai (MICCAI (16), 2025)

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. - Qiang Ma 004; Kaili Liang; Liu Li 001; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 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 001; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li 001; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)

Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic. - Liu Li 001; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2025)

Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo-Rojas; Liu Li 001; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (Medical Image Anal., 2026)