Lihao Liu

According to our database, Lihao Liu authored at least 31 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GNN-Cap: Chip-Scale Interconnect Capacitance Extraction Using Graph Neural Network.

Lihao Liu, Fan Yang, Li Shang, Xuan Zeng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

Medical Image Anal., February, 2024

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation.

Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2024

2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero

CoRR, 2023

Traffic Video Object Detection using Motion Prior.

Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening.

Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation.

Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

Continuous U-Net: Faster, Greater and Noiseless.

Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness.

Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.

Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Image Super-Resolution Method Based on Dual Learning.

Zhao Qiu, Chunyu Zhuang, Lihao Liu, Jiale Lin, Sheng Yuan

J. Circuits Syst. Comput., 2022

Generative Image Inpainting with Dilated Deformable Convolution.

Zhao Qiu, Lin Yuan, Lihao Liu, Zheng Yuan, Tao Chen, Zihan Xiao

J. Circuits Syst. Comput., 2022

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation.

Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2022

LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization.

Lihao Liu, Tianyue Feng, Xingyu Xing, Junyi Chen

CoRR, 2022

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.

Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2022

Deformable Lung CT Registration by Decomposing Large Deformation.

Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration.

Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting.

Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

EAC-GAN: Semi-supervised Image Enhancement Technology to Improve CNN Classification Performance.

Lihao Liu, Zhao Qiu, Jiale Lin, Mengyang Li, Qianfan Liu, Hancheng Huang

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

A Study of Distributed Earth Observation Satellites Mission Scheduling Method Based on Game-Negotiation Mechanism.

Lihao Liu, Zhenghong Dong, Haoxiang Su, Dingzhan Yu

Sensors, 2021

Video Pre-Caching Joint Hand-Off and Content Delivery in Multi-Access Edge Computing Based EONs.

Yutong Chai, Shan Yin, Lihao Liu, Liyou Jiang, Shanguo Huang

Proceedings of CECNet 2021, 2021

2020

ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation.

Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis.

Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

Contrastive Registration for Unsupervised Medical Image Segmentation.

Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb

CoRR, 2020

MIRD-Net for Medical Image Segmentation.

Yongfeng Huang, Xueyang Li, Cairong Yan, Lihao Liu, Hao Dai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation.

Xueyang Li, Yongfeng Huang, Cairong Yan, Lihao Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization.

Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration.

Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

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, Pheng-Ann Heng

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2005

The CMU Face In Action (FIA) Database.

Rodney Goh, Lihao Liu, Xiaoming Liu, Tsuhan Chen

Proceedings of the Analysis and Modelling of Faces and Gestures, 2005