Lihao Liu

Ph.D. Candidate

Cambridge Image Analysis Group
University of Cambridge
Wilberforce Road
CB3 0WA, UK

Email: ll610 at cam dot ac dot uk


Biography  

I am a second-year Ph.D. candidate in Cambridge Image Analysis Group (CIA) and Centre for Mathematical Imaging in Healthcare (CMIH) at Dept. of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge. I am supervised by Prof. Carola-Bibiane Schönlieb and Dr. Angelica I. Aviles-Rivero, and advised by Prof. Pietro Liò. Before that, I received my M.Phil. degree from Dept. of Computer Science and Engineering (CSE), Chinese University of Hong Kong, under the supervision of Prof. Pheng-Ann Heng, and my B.Eng. degree from School of Big Data & Software Engineering, Chongqing University.

My research interests is Machine Learning on Healthcare. Specifically, I focus on developing 3d deep learning algorithms to solve unsupervised medical image segmentation and registration tasks.

News

Publications

                                 
"PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation"
Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, and Angelica I Aviles-Rivero.
Under Review.

[paper]

"You Only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration"
Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, and Angelica I Aviles-Rivero.
Biomedical Image Registration (WBIR), 2022.

[paper]

"Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting"
Lihao Liu, Chengyang Hong, Angelica I Aviles-Rivero, and Carola-Bibiane Schönlieb.
Medical Image Understanding and Analysis (MIUA), 2022.

[paper] [algo]

[Best Paper Award Nomination!] [Ranking 4/373 in the CoNIC-2022!]

"Stochastic Decomposition of Deformation Field for Lung CT Image Registration"
Jing Zou, Youyi Song, Lihao Liu, Jing Qin.
Under Review.
"Deformable Lung CT Registration by Decomposing Large Deformation"
Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin.
Biomedical Image Registration (WBIR), 2022.

[paper]

"Contrastive Registration for Unsupervised Medical Image Segmentation"
Lihao Liu, Angelica I Aviles-Rivero, Carola-Bibiane Schönlieb.
Medical Image Anaylsis (MIA), 2022.

[paper] [code]

"Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation"
Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.

[paper] [code]

"Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration"
Lihao Liu, Xiaowei Hu, Lei Zhu, and Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

[paper] [code]

"Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis"
Lihao Liu, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2019.

[paper] [code]

"MTMR-Net: Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis"
Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, and Pheng-Ann Heng.
Deep Learning in Medical Image Analysis (MICCAI-DLMIA), 2018.

[paper] [code]

Experience

Honors & Awards

Professional Activities