Xiangyun Liao

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All published works

Action	Title	Year	Authors
+ PDF Chat	DPPMask: Masked Image Modeling with Determinantal Point Processes	2024	Junde Xu Zikai Lin Donghao Zhou Yaodong Yang Xiangyun Liao Qiong Wang Bian Wu Guangyong Chen Pheng‐Ann Heng
+	DPPMask: Masked Image Modeling with Determinantal Point Processes	2023	Junde Xu Zikai Lin Donghao Zhou Yaodong Yang Xiangyun Liao Bian Wu Guangyong Chen Pheng-ann Heng
+	Progressive Frequency-Aware Network for Laparoscopic Image Desmoking	2023	Jiale Zhang Wenfeng Huang Xiangyun Liao Qiong Wang
+ PDF Chat	Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention	2021	Mian Wu Yinling Qian Xiangyun Liao Qiong Wang Pheng‐Ann Heng
+	Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention	2021	Mian Wu Yinling Qian Xiangyun Liao Qiong Wang Pheng‐Ann Heng
+ PDF Chat	Periodic-corrected data-driven coupling of blood flow and the vessel wall for virtual surgery	2019	Xuejie Mai Zhiyong Yuan Qianqian Tong Tianchen Yuan Jianhui Zhao Xiangyun Liao Qiong Wang
+	Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge	2019	Xiahai Zhuang Lei Li Christian Payer Darko Štern Martin Urschler Mattias P. Heinrich‬ Julien Oster Chunliang Wang Örjan Smedby Cheng Bian
+	Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge	2019	Xiahai Zhuang Lei Li Christian Payer Darko Štern Martin Urschler Mattias P. Heinrich‬ Julien Oster Chunliang Wang Örjan Smedby Cheng Bian

Common Coauthors

Coauthor	Papers Together
Pheng‐Ann Heng	5
Qianqian Tong	3
Xiahai Zhuang	2
Chunliang Wang	2
Christian Payer	2
Darko Štern	2
Jennifer Keegan	2
Cheng Bian	2
Weixin Si	2
Raad Mohiaddin	2
Mattias P. Heinrich‬	2
Julien Oster	2
David E. Newby	2
Tom MacGillivray	2
Sébastien Ourselin	2
Chengjia Wang	2
Guodong Zeng	2
Jean-Yves Ramel	2
Örjan Smedby	2
Guoyan Zheng	2
Yaodong Yang	2
Qiong Wang	2
Qiong Wang	2
Guang Yang	2
Mian Wu	2
Thierry Brouard	2
Kawal Rhode	2
Zenglin Shi	2
Xin Yang	2
Chenchen Sun	2
Ulaş Bağcı	2
Aliasghar Mortazi	2
Gaëtan Galisot	2
Zikai Lin	2
Martin Urschler	2
David Firmin	2
Jianhui Zhao	1
Bian Wu	1
Qiong Wang	1
Xuejie Mai	1
Zhiyong Yuan	1
Yinling Qian	1
Lei Li	1
Junde Xu	1
Donghao Zhou	1
Guangyong Chen	1
Donghao Zhou	1
Jiale Zhang	1
Tianchen Yuan	1
Guangyong Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	2
+ PDF Chat	CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN	2017	Aliasghar Mortazi Rashed Karim Kawal Rhode Jeremy R. Burt Ulaş Bağcı	2
+	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+ PDF Chat	A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI	2016	M. R. Avendi Arash Kheradvar Hamid Jafarkhani	2
+ PDF Chat	Deeply-Recursive Convolutional Network for Image Super-Resolution	2016	Jiwon Kim Jung Kwon Lee Kyoung Mu Lee	2
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	2
+	A Higher-Order Tensor Vessel Tractography for Segmentation of Vascular Structures	2015	Süheyla Çetin Gözde Ünal	1
+	An Exact Algorithm for Maximum Entropy Sampling	1995	Chun-Wa Ko Jon Lee Maurice Queyranne	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Determinantal Point Processes for Machine Learning	2012	Alex Kulesza	1
+	Near-Optimal MAP Inference for Determinantal Point Processes	2012	Jennifer Gillenwater Alex Kulesza Ben Taskar	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	1
+ PDF Chat	Self-Supervised Video Representation Learning with Odd-One-Out Networks	2017	Basura Fernando Hakan Bilen Efstratios Gavves Stephen Jay Gould	1
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	1
+ PDF Chat	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	1
+	Dilated Residual Networks	2017	Fisher Yu Vladlen Koltun Thomas Funkhouser	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+ PDF Chat	The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation	2018	Yuanhan Mo Fangde Liu Douglas McIlwraith Guang Yang Jingqing Zhang Taigang He Yike Guo	1
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	A determinantal point process for column subset selection	2018	Ayoub Belhadji R. Bardenet Pierre Chainais	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity	2017	Laming Chen Guoxin Zhang Hanning Zhou	1
+	Microsoft COCO: Common Objects in Context	2014	Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár	1
+ PDF Chat	Dilated Residual Networks	2017	Fisher Yu Vladlen Koltun Thomas Funkhouser	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Transitive Invariance for Self-Supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta	1
+ PDF Chat	Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning	2019	Chen Wei Lingxi Xie Xutong Ren Yingda Xia Chi Su Jiaying Liu Qi Tian Alan Yuille	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	1
+	Determinantal Point Processes for Coresets	2018	Nicolas Tremblay Simon Barthelmé Pierre‐Olivier Amblard	1
+	What Makes for Good Views for Contrastive Learning?	2020	Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola	1
+ PDF Chat	Determinantal Point Processes for Image Processing	2021	Claire Launay Agnès Desolneux Bruno Galerne	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	1
+ PDF Chat	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge	2022	Xiahai Zhuang Jiahang Xu Xinzhe Luo Chen Chen Cheng Ouyang Daniel Rueckert Víctor M. Campello Karim Lekadir Sulaiman Vesal Nishant Ravikumar	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	1
+	TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation	2021	Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lü Alan Yuille Yuyin Zhou	1
+	Noise or Signal: The Role of Image Backgrounds in Object Recognition	2020	Kai Xiao Logan Engstrom Andrew Ilyas Aleksander Mądry	1
+	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation	2021	Yundong Zhang Huiye Liu Qiang Hu	1
+	UNETR: Transformers for 3D Medical Image Segmentation	2021	Ali Hatamizadeh Dong Yang Holger R. Roth Daguang Xu	1
+ PDF Chat	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	2021	Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin Baining Guo	1