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2020 – today
- 2026
[j15]Dingkang Yang, Jinjie Wei, Mingcheng Li
, Jiyao Liu, Lihao Liu, Ming Hu, Junjun He, Yakun Ju, Wei Zhou, Yang Liu, Lihua Zhang:
MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration. Inf. Fusion 127: 103743 (2026)- 2025
- [j14]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation. Medical Image Anal. 105: 103712 (2025) - [j13]Zhengxin Yang, Lihao Liu, Zhangjian Li, Yang Jiao, Li Zhang, Yaoyao Cui:
A Magnetically-Actuated Ultrasound Capsule Endoscope (MUSCE) for Endoluminal Imaging in Tubular Environments. IEEE Robotics Autom. Lett. 10(3): 2590-2597 (2025) - [j12]Zhongying Deng, Yanqi Cheng, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. IEEE Trans. Intell. Transp. Syst. 26(2): 2747-2759 (2025) - [j11]Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(1): 147-159 (2025) - [c28]Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang:
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. CVPR 2025: 17626-17636 - [c27]Zhaohu Xing, Lihao Liu, Yijun Yang, Hongqiu Wang, Tian Ye, Sixiang Chen, Wenxue Li, Guang Liu, Lei Zhu:
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine. CVPR 2025: 25476-25486 - [c26]Lihao Liu, Beisi Lu, Yunhui Li, Li Shang, Fan Yang:
GTN-Path: Efficient Path Timing Prediction through Waveform Propagation with Graph Transformer. DAC 2025: 1-7 - [c25]Lihao Liu, Yunhui Li, Beisi Lu, Li Shang, Fan Yang:
GTN-Cell: Efficient Standard Cell Characterization Using Graph Transformer Network. DATE 2025: 1-7 - [c24]Wenlong Hou, Guangqian Yang, Ye Du, Yeung Lau, Lihao Liu, Junjun He, Ling Long, Shujun Wang:
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator. Agentic AI/CREATE/Clinical MLLMs@MICCAI 2025: 23-32 - [c23]Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang:
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. MICCAI (8) 2025: 363-373 - [c22]Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He:
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. MICCAI (5) 2025: 391-401 - [c21]Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijing Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He:
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. MICCAI (9) 2025: 425-435 - [c20]Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He:
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions. MICCAI (16) 2025: 470-480 - [i47]Zhi Qin, Qianhui Gui, Mouxiao Bian, Rui Wang, Hong Ge, Dandan Yao, Ziying Sun, Yuan Zhao, Yu Zhang, Hui Shi, Dongdong Wang, Chenxin Song, Shenghong Ju, Lihao Liu, Junjun He, Jie Xu, Yuan-Cheng Wang:
Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation. CoRR abs/2503.07032 (2025) - [i46]Tianai Huang, Lu Lu, Jiayuan Chen, Lihao Liu, Junjun He, Yuping Zhao, Wenchao Tang, Jie Xu:
TCM-3CEval: A Triaxial Benchmark for Assessing Responses from Large Language Models in Traditional Chinese Medicine. CoRR abs/2503.07041 (2025) - [i45]Xiaoyi Liang, Mouxiao Bian, Moxin Chen, Lihao Liu, Junjun He, Jie Xu, Lin Li:
A Novel Ophthalmic Benchmark for Evaluating Multimodal Large Language Models with Fundus Photographs and OCT Images. CoRR abs/2503.07094 (2025) - [i44]Luyi Jiang, Jiayuan Chen, Lu Lu, Xinwei Peng, Lihao Liu, Junjun He, Jie Xu:
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies. CoRR abs/2503.07306 (2025) - [i43]Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOE: Real-Time Seeing Anything. CoRR abs/2503.07465 (2025) - [i42]Chaoyu Liu, Davide Murari, Chris J. Budd, Lihao Liu, Carola-Bibiane Schönlieb:
Enhancing Fourier Neural Operators with Local Spatial Features. CoRR abs/2503.17797 (2025) - [i41]Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He:
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. CoRR abs/2504.01886 (2025) - [i40]Chao Ding, Mouxiao Bian, Pengcheng Chen, Hongliang Zhang, Tianbin Li, Lihao Liu, Jiayuan Chen, Zhuoran Li, Yabei Zhong, Yongqi Liu, Haiqing Huang, Dongming Shan, Junjun He, Jie Xu:
Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI. CoRR abs/2505.06912 (2025) - [i39]Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijin Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He:
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. CoRR abs/2505.07449 (2025) - [i38]Jing Zou, Qingqiu Li, Chenyu Lian, Lihao Liu, Xiaohan Yan, Shujun Wang, Jing Qin:
CorBenchX: Large-Scale Chest X-Ray Error Dataset and Vision-Language Model Benchmark for Report Error Correction. CoRR abs/2505.12057 (2025) - [i37]Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan:
MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. CoRR abs/2505.19225 (2025) - [i36]Yihan Wang, Qiao Yan, Zhenghao Xing, Lihao Liu, Junjun He, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng:
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making. CoRR abs/2505.21503 (2025) - [i35]Sheng Chen, Peiyu He, Jiaxin Hu, Ziyang Liu, Yansheng Wang, Tao Xu, Chi Zhang, Chongchong Zhang, Chao An, Shiyu Cai, Duo Cao, Kangping Chen, Shuai Chu, Tianwei Chu, Mingdi Dan, Min Du, Weiwei Fang, Pengyou Fu, Junkai Hu, Xiaowei Jiang, Zhaodi Jiang, Fuxuan Li, Jun Li, Minghui Li, Mingyao Li, Yanchang Li, Zhibin Li, Guangming Liu, Kairui Liu, Lihao Liu, Weizhi Liu, Xiaoshun Liu, Yufei Liu, Yunfei Liu, Qiang Lu, Yuanfei Luo, Xiang Lv, Hongying Ma, Sai Ma, Lingxian Mi, Sha Sa, Hongxiang Shu, Lei Tian, Chengzhi Wang, Jiayu Wang, Kaijie Wang, Qingyi Wang, Renwen Wang, Tao Wang, Wei Wang, Xirui Wang, Chao Wei, Xuguang Wei, Zijun Xia, Zhaohao Xiao, Tingshuai Yan, Liyan Yang, Yifan Yang, Zhikai Yang, Zhong Yin, Li Yuan, Liuchun Yuan, Jinyang Zhang, Junhui Zhang, Linge Zhang, Zhenyi Zhang, Zheyu Zhang, Dongjie Zhu, Hang Li, Yangang Zhang:
Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning. CoRR abs/2506.06205 (2025) - [i34]Wenlong Hou, Guangqian Yang, Ye Du, Yeung Lau, Lihao Liu, Junjun He, Ling Long, Shujun Wang:
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator. CoRR abs/2506.11150 (2025) - [i33]Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang:
Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. CoRR abs/2506.17913 (2025) - [i32]Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu:
THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? CoRR abs/2506.21763 (2025) - [i31]Wei Li, Jingyang Zhang, Lihao Liu, Guoan Wang, Junjun He, Yang Chen, Lixu Gu:
F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning. CoRR abs/2507.02437 (2025) - [i30]Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He:
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. CoRR abs/2507.02994 (2025) - [i29]Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu:
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision. CoRR abs/2508.06995 (2025) - [i28]Yalong Guan, Xiang Chen, Mingyang Wang, Xiangyu Wu, Lihao Liu, Chao Qi, Shuang Yang, Tingting Gao, Guorui Zhou, Changjian Chen:
Multimodal Recommendation via Self-Corrective Preference Alignmen. CoRR abs/2508.14912 (2025) - [i27]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i26]Yangming Li, Chaoyu Liu, Lihao Liu, Simon Masnou, Carola-Bibiane Schönlieb:
GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting. CoRR abs/2509.05075 (2025) - [i25]Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu:
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs. CoRR abs/2510.01691 (2025) - [i24]Jialin Gao, Donghao Zhou, Mingjian Liang, Lihao Liu, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng:
DisCo-Layout: Disentangling and Coordinating Semantic and Physical Refinement in a Multi-Agent Framework for 3D Indoor Layout Synthesis. CoRR abs/2510.02178 (2025) - [i23]Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He:
UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. CoRR abs/2510.15710 (2025) - 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) - [c19]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 - [c18]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised Propainter for Video Diminished Reality Inpainting. ISBI 2024: 1-5 - [c17]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 - [c16]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. ACM Multimedia 2024: 1265-1273 - [c15]Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOv10: Real-Time End-to-End Object Detection. NeurIPS 2024 - [i22]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) - [i21]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) - [i20]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) - [i19]Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised ProPainter for Video Diminished Reality Inpainting. CoRR abs/2406.02287 (2024) - [i18]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) - [i17]Linrui Gong, Jiuming Liu, Junyi Ma, Lihao Liu, Yaonan Wang, Hesheng Wang:
EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration. CoRR abs/2411.15271 (2024) - [i16]Xinzheng Wu, Junyi Chen, Xingyu Xing, Jian Sun, Ye Tian, Lihao Liu, Yong Shen:
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization. CoRR abs/2412.00517 (2024) - [i15]Lihao Liu, Juexiao Feng, Hui Chen, Ao Wang, Lin Song, Jungong Han, Guiguang Ding:
YOLO-UniOW: Efficient Universal Open-World Object Detection. CoRR abs/2412.20645 (2024) - 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 - [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 I. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - 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) - [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 - [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 Cheng, 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) - 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) - [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
- [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) - [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 - [i2]Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR abs/2011.08894 (2020)
2010 – 2019
- 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 - [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) - 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
2000 – 2009
- 2005
- [c1]Rodney Goh, Lihao Liu, Xiaoming Liu, Tsuhan Chen:
The CMU Face In Action (FIA) Database. AMFG 2005: 255-263
Coauthor Index
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