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Journal Articles
- 2024
[j10]Jing Zou
, Youyi Song, Lihao Liu, Angelica I. Avilés-Rivero, Jing Qin:
Unsupervised lung CT image registration via stochastic decomposition of deformation fields. Comput. Medical Imaging Graph. 115: 102397 (2024)- [j9]Shan Yin, Lihao Liu, Mengru Cai, Yutong Chai, Yurong Jiao, Zheng Duan, Yian Li, Shanguo Huang:
DNN distributed inference offloading scheme based on transfer reinforcement learning in metro optical networks. J. Opt. Commun. Netw. 16(9): 852-867 (2024) - [j8]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:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - [j7]Lihao Liu, Fan Yang, Li Shang, Xuan Zeng:
GNN-Cap: Chip-Scale Interconnect Capacitance Extraction Using Graph Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1206-1217 (2024) - [j6]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. Trans. Mach. Learn. Res. 2024 (2024) - 2022
- [j5]Zhao Qiu, Lin Yuan, Lihao Liu, Zheng Yuan, Tao Chen, Zihan Xiao:
Generative Image Inpainting with Dilated Deformable Convolution. J. Circuits Syst. Comput. 31(6): 2250114:1-2250114:13 (2022) - [j4]Zhao Qiu, Chunyu Zhuang, Lihao Liu, Jiale Lin, Sheng Yuan:
Image Super-Resolution Method Based on Dual Learning. J. Circuits Syst. Comput. 31(16): 2250283:1-2250283:21 (2022) - 2021
- [j3]Lihao Liu, Zhenghong Dong, Haoxiang Su, Dingzhan Yu:
A Study of Distributed Earth Observation Satellites Mission Scheduling Method Based on Game-Negotiation Mechanism. Sensors 21(19): 6660 (2021) - 2020
- [j2]Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020) - [j1]Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation. IEEE Trans. Medical Imaging 39(9): 2806-2817 (2020)
Conference and Workshop Papers
- 2024
- [c18]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. ECAI 2024: 2098-2105 - [c17]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised Propainter for Video Diminished Reality Inpainting. ISBI 2024: 1-5 - [c16]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. MICCAI (12) 2024: 3-13 - [c15]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. ACM Multimedia 2024: 1265-1273 - 2023
- [c14]Dongxu Li, Lihao Liu, Yan Tian, Degui Zhu:
The Impact of Fiscal Expenditure on the Optimization of Industrial Structure-An Empirical Analysis Based on Data Statistics from 2006 to 2021. BDEIM 2023: 874-881 - [c13]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR 2023: 10449-10458 - [c12]Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. TML4H 2023: 177-189 - 2022
- [c11]Lihao Liu, Zhao Qiu, Jiale Lin, Mengyang Li, Qianfan Liu, Hancheng Huang:
EAC-GAN: Semi-supervised Image Enhancement Technology to Improve CNN Classification Performance. ICAIS (2) 2022: 360-372 - [c10]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA 2022: 130-138 - [c9]Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin:
Deformable Lung CT Registration by Decomposing Large Deformation. WBIR 2022: 185-189 - [c8]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. WBIR 2022: 190-193 - 2021
- [c7]Yutong Chai, Shan Yin, Lihao Liu, Liyou Jiang, Shanguo Huang:
Video Pre-Caching Joint Hand-Off and Content Delivery in Multi-Access Edge Computing Based EONs. CECNet 2021: 544-549 - 2020
- [c6]Xueyang Li, Yongfeng Huang, Cairong Yan, Lihao Liu:
IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation. IJCNN 2020: 1-8 - [c5]Yongfeng Huang, Xueyang Li, Cairong Yan, Lihao Liu, Hao Dai:
MIRD-Net for Medical Image Segmentation. PAKDD (2) 2020: 207-219 - 2019
- [c4]Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. ABCD-NP@MICCAI 2019: 108-113 - [c3]Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. MICCAI (2) 2019: 346-354 - 2018
- [c2]Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82 - 2005
- [c1]Rodney Goh, Lihao Liu, Xiaoming Liu, Tsuhan Chen:
The CMU Face In Action (FIA) Database. AMFG 2005: 255-263
Informal and Other Publications
- 2024
- [i19]Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. CoRR abs/2403.09136 (2024) - [i18]Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang:
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. CoRR abs/2405.14338 (2024) - [i17]Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOv10: Real-Time End-to-End Object Detection. CoRR abs/2405.14458 (2024) - [i16]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised ProPainter for Video Diminished Reality Inpainting. CoRR abs/2406.02287 (2024) - [i15]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. CoRR abs/2409.06285 (2024) - 2023
- [i14]Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. CoRR abs/2302.00626 (2023) - [i13]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i12]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR abs/2303.08113 (2023) - [i11]Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. CoRR abs/2308.01057 (2023) - [i10]Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Traffic Video Object Detection using Motion Prior. CoRR abs/2311.10092 (2023) - [i9]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - 2022
- [i8]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR abs/2203.00157 (2022) - [i7]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. CoRR abs/2203.05684 (2022) - [i6]Lihao Liu, Tianyue Feng, Xingyu Xing, Junyi Chen:
LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization. CoRR abs/2203.13708 (2022) - [i5]Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness. CoRR abs/2209.08647 (2022) - [i4]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR abs/2211.06885 (2022) - [i3]Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. CoRR abs/2211.09620 (2022) - 2020
- [i2]Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR abs/2011.08894 (2020) - 2019
- [i1]Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. CoRR abs/1907.01922 (2019)
Coauthor Index
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