Junyu Chen

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All published works

Action	Title	Year	Authors
+ PDF Chat	A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond	2024	Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian Aaron Carass Jerry L. Prince Yong Du
+ PDF Chat	Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	2023	Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. Kevin Zhou
+	SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images	2023	Gary Y. Li Junyu Chen Se‐In Jang Kuang Gong Quanzheng Li
+ PDF Chat	TransMorph: Transformer for unsupervised medical image registration	2022	Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du
+ PDF Chat	Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks	2021	Junyu Chen Ye Li Licia P. Luna Hyun W. Chung Steven P. Rowe Yong Du Lilja B. Sólnes Eric C. Frey
+ PDF Chat	Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks	2020	Junyu Chen Ye Li Yong Du Eric C. Frey

Common Coauthors

Coauthor	Papers Together
Yong Du	4
Ye Li	3
Eric C. Frey	3
S. Kevin Zhou	1
Yucheng Tang	1
Shuwen Wei	1
W. Paul Segars	1
Jerry L. Prince	1
Steven P. Rowe	1
Jun Li	1
Aaron Carass	1
Bennett A. Landman	1
Licia P. Luna	1
Zhangxing Bian	1
Ce Wang	1
Yufan He	1
Shalini Subramanian	1
Se‐In Jang	1
Hyun W. Chung	1
Gary Y. Li	1
Yihao Liu	1
Quanzheng Li	1
Kuang Gong	1
Lilja B. Sólnes	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces	2019	Adrian V. Dalca Guha Balakrishnan John Guttag Mert R. Sabuncu	4
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	4
+ PDF Chat	Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks	2020	Junyu Chen Ye Li Yong Du Eric C. Frey	3
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	3
+ PDF Chat	VoxelMorph: A Learning Framework for Deformable Medical Image Registration	2019	Guha Balakrishnan Amy Zhao Mert R. Sabuncu John V. Guttag Adrian V. Dalca	3
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	3
+	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	3
+ PDF Chat	TransMorph: Transformer for unsupervised medical image registration	2022	Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du	3
+ PDF Chat	Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs	2022	Xiaohan Ding Xiangyu Zhang Jungong Han Guiguang Ding	3
+ 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	3
+ PDF Chat	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support	2017	M. Jorge Cardoso Tal Arbel Gustavo Carneiro Tanveer Syeda-Mahmood João Manuel R. S. Tavares Mehdi Moradi Andrew P. Bradley Hayit Greenspan João Paulo Papa Anant Madabhushi	3
+ PDF Chat	Learning a Probabilistic Model for Diffeomorphic Registration	2019	Julian Krebs Hervé Delingette Boris Mailhé Nicholas Ayache Tommaso Mansi	3
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+ PDF Chat	A deep learning framework for unsupervised affine and deformable image registration	2018	Bob D. de Vos Floris F. Berendsen Max A. Viergever Hessam Sokooti Marius Staring Ivana Išgum	3
+	Medical Image Segmentation using Squeeze-and-Expansion Transformers	2021	Shaohua Li Xiuchao Sui Xiangde Luo Xinxing Xu Yong Liu Rick Siow Mong Goh	3
+ PDF Chat	CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows	2022	Xiaoyi Dong Jianmin Bao Dongdong Chen Weiming Zhang Nenghai Yu Lu Yuan Dong Chen Baining Guo	2
+	Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation	2018	Md Zahangir Alom Md. Mahmudul Hasan Chris Yakopcic Tarek M. Taha Vijayan K. Asari	2
+ PDF Chat	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning	2022	Alessa Hering Lasse Hansen Tony C. W. Mok Albert C. S. Chung Hanna Siebert Stephanie Häger Annkristin Lange Sven Kuckertz Stefan Heldmann Wei Shao	2
+	PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation	2022	Lihao Liu Zhening Huang Píetro Lió Carola‐Bibiane Schönlieb Angelica I. Aviles‐Rivero	2
+	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers	2021	Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar Jose M. Álvarez Ping Luo	2
+ PDF Chat	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images	2022	Ali Hatamizadeh Vishwesh Nath Yucheng Tang Dong Yang Holger R. Roth Daguang Xu	2
+	Do Vision Transformers See Like Convolutional Neural Networks?	2021	Maithra Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy	2
+	How Do Vision Transformers Work?	2022	Namuk Park Songkuk Kim	2
+ PDF Chat	UNETR: Transformers for 3D Medical Image Segmentation	2022	Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett A. Landman Holger R. Roth Daguang Xu	2
+	nnFormer: Interleaved Transformer for Volumetric Segmentation	2021	Hong-Yu Zhou Jiansen Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu	2
+ PDF Chat	Transclaw U-Net: Claw U-Net With Transformers for Medical Image Segmentation	2022	Chang Yao Menghan Hu Qingli Li Guangtao Zhai Xiao–Ping Zhang	2
+ PDF Chat	Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion	2022	Jinxin Lv Zhiwei Wang Hongkuan Shi Haobo Zhang Sheng Wang Yilang Wang Qiang Li	2
+ PDF Chat	CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification	2021	Chun-Fu Richard Chen Quanfu Fan Rameswar Panda	2
+ PDF Chat	Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives	2023	Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. Kevin Zhou	2
+	Visualizing the Loss Landscape of Neural Nets	2017	Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein	2
+	ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration	2021	Junyu Chen Yufan He Eric C. Frey Ye Li Yong Du	2
+ PDF Chat	TransBTS: Multimodal Brain Tumor Segmentation Using Transformer	2021	Wenxuan Wang Chen Chen Meng Ding Hong Yu Sen Zha Jiangyun Li	2
+ PDF Chat	Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network	2019	Shengyu Zhao Tingfung Lau Ji Luo Eric Chang Yan Xu	2
+	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
+	UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation	2019	Zongwei Zhou Md Mahfuzur Rahman Siddiquee Nima Tajbakhsh Jianming Liang	2
+ PDF Chat	An Unsupervised Learning Model for Deformable Medical Image Registration	2018	Guha Balakrishnan Amy Zhao Mert R. Sabuncu Adrian V. Dalca John V. Guttag	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+ PDF Chat	End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network	2017	Bob D. de Vos Floris F. Berendsen Max A. Viergever Marius Staring Ivana Išgum	2
+	Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows	2009	Mónica Hernández Matías Nicolás Bossa Salvador Carrión Olmos	2
+ PDF Chat	CycleMorph: Cycle consistent unsupervised deformable image registration	2021	Boah Kim Dong Hwan Kim Seong Ho Park Jieun Kim June‐Goo Lee Jong Chul Ye	2
+	Quicksilver: Fast predictive image registration – A deep learning approach	2017	Xiao Yang Roland Kwitt Martin Styner Marc Niethammer	2
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	2
+ PDF Chat	Scaling Vision Transformers	2022	Xiaohua Zhai Alexander Kolesnikov Neil Houlsby Lucas Beyer	2
+	Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration	2018	Jun Zhang	2
+	Is it Time to Replace CNNs with Transformers for Medical Images?	2021	Christos Matsoukas Johan Fredin Haslum Magnus Söderberg Kevin Smith	2
+ PDF Chat	CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation	2021	Yutong Xie Jianpeng Zhang Chunhua Shen Yong Xia	2
+	An Empirical Analysis of Deep Network Loss Surfaces	2017	Daniel Jiwoong Im Michael Tao Kristin Branson	1
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	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