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ORCIDXiao Liu 0037
Person information
- affiliation: University of Edinburgh, School of Engineering, UK
- affiliation: Canon Medical Research Europe Ltd., Edinburgh, UK
Other persons with the same name
- Xiao Liu — disambiguation page
- Xiao Liu 0001
![[0000-0001-5514-021X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5514-021X")
— University College London, Department of Electronic and Electrical Engineering, UK - Xiao Liu 0002 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, China (and 4 more)
- Xiao Liu 0003 — South China University of Technology, School of Civil and Transportation Engineering, Guangzhou, China
- Xiao Liu 0004 — Deakin University, School of Information Technology, Melbourne, Australia (and 3 more)
- Xiao Liu 0005 — Tongji University, School of Economics and Management, Shanghai, China
- Xiao Liu 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xiao Liu 0007 — Central South University, School of Information Science and Engineering, Changsha, China
- Xiao Liu 0009 — University of Technology of Compiègne, France
- Xiao Liu 0010 — Virginia Tech, Blacksburg, VA, USA
- Xiao Liu 0011 — University of California, Berkeley, CA, USA (and 1 more)
- Xiao Liu 0012 — Zhejiang University, College of Computer Science, Hangzhou, China
- Xiao Liu 0013 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiao Liu 0014 — Xiamen University, China
- Xiao Liu 0015 — Carnegie Mellon University, Tepper School of Business, Pittsburgh, PA, USA
- Xiao Liu 0016 — Arizona State University, Department of Information Systems, Tempe, AZ, USA (and 2 more)
- Xiao Liu 0017 — University of International Business and Economics, School of Banking and Finance, Beijing, China
- Xiao Liu 0018 — Queen Mary University of London, School of Electronic Engineering and Computer Science, London, UK
- Xiao Liu 0019 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Xiao Liu 0020 — Dalhousie University, Department of Electrical and Computer Engineering, Halifax, Canada
- Xiao Liu 0021 — Shanxi Transportation Research Institute, Shanxi Engineering Research Center for Road Intelligent Monitoring, Taiyuan, China
- Xiao Liu 0022 — Baidu Inc., Department of Computer Vision Technology, Beijing, China
- Xiao Liu 0023 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China
- Xiao Liu 0024 — University of Maryland Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
- Xiao Liu 0025 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 1 more)
- Xiao Liu 0026 — China University of Geosciences, Three Gorges Research Center for Geo-Hazards of the Ministry of Education, Wuhan, China
- Xiao Liu 0027 — Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Xiao Liu 0028 — Beihang University, School of Biological Science and Medical Engineering, Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing, China
- Xiao Liu 0029 — Microsoft Research Asia, Beijing, China (and 1 more)
- Xiao Liu 0030 — University of Massachusetts Amherst, MA, USA (and 1 more)
- Xiao Liu 0031 — National University of Defense Technology, College of Computer Science and Technology, Changsha, China
- Xiao Liu 0032 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- Xiao Liu 0033 — University of California San Diego, La Jolla, CA, USA
- Xiao Liu 0034 — University of California, Davis, CA, USA
- Xiao Liu 0035 — National University of Singapore, Department of Computer Science, Singapore
- Xiao Liu 0036 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Xiao Liu 0038 — Albora Technologies, London, UK (and 1 more)
- Xiao Liu 0039 — Pennsylvania State University, Department of Biomedical Engineering, Institute for CyberScience, PA, USA (and 2 more)
- Xiao Liu 0040 — Tomorrow Advancing Life, TAL, Education Group, Beijing, China (and 1 more)
- Xiao Liu 0041 — Chongqing University, School of Microelectronics and Communication Engineering, China
- Xiao Liu 0042 — Megvii Technology Inc., Face++, Beijing, China
- Xiao Liu 0043 — Nanjing University of Science and Technology, Department of Cyber Science and Engineering, China
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Journal Articles
- 2022
[j2]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Learning disentangled representations in the imaging domain. Medical Image Anal. 80: 102516 (2022)- 2021
- [j1]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021)
Conference and Workshop Papers
- 2023
- [c13]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. ICLR 2023 - [c12]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI 2023: 41-51 - [c11]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) 2023: 234-242 - 2022
- [c10]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c9]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI 2022: 15-21 - [c8]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI 2022: 34-44 - [c7]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why Patient Data Cannot Be Easily Forgotten? MICCAI (8) 2022: 632-641 - [c6]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) 2022: 704-714 - 2021
- [c5]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC 2021: 124 - [c4]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) 2021: 160-170 - [c3]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) 2021: 307-317 - 2020
- [c2]Xiao Liu, Sotirios A. Tsaftaris:
Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. MICCAI (1) 2020: 95-105 - [c1]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 187-195
Editorship
- 2023
- [e1]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents]
Informal and Other Publications
- 2023
- [i14]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. CoRR abs/2306.07783 (2023) - [i13]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. CoRR abs/2310.06562 (2023) - [i12]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. CoRR abs/2311.00476 (2023) - 2022
- [i11]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR abs/2206.14538 (2022) - [i10]Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris:
Why patient data cannot be easily forgotten? CoRR abs/2206.14541 (2022) - [i9]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR abs/2207.12268 (2022) - [i8]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR abs/2208.03563 (2022) - [i7]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. CoRR abs/2210.06201 (2022) - 2021
- [i6]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR abs/2106.13292 (2021) - [i5]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR abs/2107.01748 (2021) - [i4]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR abs/2108.12043 (2021) - 2020
- [i3]Xiao Liu, Sotirios A. Tsaftaris:
Have you forgotten? A method to assess if machine learning models have forgotten data. CoRR abs/2004.10129 (2020) - [i2]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR abs/2008.11514 (2020) - [i1]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR abs/2008.12378 (2020)
Coauthor Index
aka: Alison Q. O'Neil
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