Congbo Cai

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All published works

Action	Title	Year	Authors
+ PDF Chat	Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI	2024	Zi Wang Min Xiao Yirong Zhou Chengyan Wang Naiming Wu Yi Li Yiwen Gong Shufu Chang Yinyin Chen Liuhong Zhu
+ PDF Chat	High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning	2023	Haitao Huang Qinqin Yang Jiechao Wang Pujie Zhang Shuhui Cai Congbo Cai
+	One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction	2023	Zi Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang Ying‐Hua Chu Hongwei Sun Rushuai Li Peiyong Li Fan Yang
+	FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning	2023	Zejun Wu Jiechao Wang Zunquan Chen Qinqin Yang Shuhui Cai Zhong Chen Congbo Cai
+	DSC-MRI derived relative CBV maps synthesized from IVIM-MRI data:Application in glioma IDH mutation status identification	2023	Lu Wang Zhen Xing Congbo Cai Zhong Chen Dairong Cao Shuhui Cai
+ PDF Chat	MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T<sub>2</sub> Mapping With Severe Head Motion Using Overlapping-Echo Acquisition	2022	Qinqin Yang Yanhong Lin Jiechao Wang Jianfeng Bao Xiaoyin Wang Lingceng Ma Zihan Zhou Qizhi Yang Shuhui Cai Hongjian He
+	Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance	2022	Qinqin Yang Zi Wang Kunyuan Guo Congbo Cai Xiaobo Qu
+	High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning	2022	Haitao Huang Qinqin Yang Jiechao Wang Pujie Zhang Shuhui Cai Congbo Cai
+	Model-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition	2021	Qinqin Yang Yanhong Lin Jiechao Wang Jianfeng Bao Xiaoyin Wang Lingceng Ma Zihan Zhou Qizhi Yang Shuhui Cai Hong-Jian He
+ PDF Chat	A divide-and-conquer approach to compressed sensing MRI	2019	Liyan Sun Zhiwen Fan Xinghao Ding Congbo Cai Yue Huang John Paisley
+	A Divide-and-Conquer Approach to Compressed Sensing MRI	2018	Liyan Sun Zhiwen Fan Xinghao Ding Congbo Cai Yue Huang John Paisley
+	A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI	2018	Zhiwen Fan Liyan Sun Xinghao Ding Yue Huang Congbo Cai John Paisley
+ PDF Chat	A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI	2018	Zhiwen Fan Liyan Sun Xinghao Ding Yue Huang Congbo Cai John Paisley
+	High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network	2017	Congbo Cai Yiqing Zeng Chao Wang Shuhui Cai Jun Zhang Zhong Chen Xinghao Ding Jianhui Zhong
+	Fast 3D gradient shimming by only 2×2 pixels in XY plane for NMR-solution samples	2014	Guangcao Liu Xiaobo Qu Shuhui Cai Zhiyong Zhang Zhiwei Chen Congbo Cai Zhong Chen

Common Coauthors

Coauthor	Papers Together
Shuhui Cai	8
Zhong Chen	5
Xinghao Ding	5
Jiechao Wang	5
John Paisley	4
Yue Huang	4
Liyan Sun	4
Xiaobo Qu	4
Zhiwen Fan	4
Qinqin Yang	3
Zi Wang	3
Jianhui Zhong	3
Qinqin Yang	3
Zihan Zhou	2
Xiaoyin Wang	2
Liuhong Zhu	2
Qizhi Yang	2
Jingliang Cheng	2
Pujie Zhang	2
Shufu Chang	2
Jianfeng Bao	2
Chengyan Wang	2
Haitao Huang	2
Jiyang Dong	2
Di Guo	2
Lingceng Ma	2
Guang Yang	1
Zhiwei Chen	1
Hongwei Sun	1
Jiazheng Wang	1
Chen Yang	1
Meijing Lin	1
He Wang	1
Zhang Shi	1
Zhen Xing	1
Jianjun Zhou	1
Xiaotong Yu	1
Weibo Chen	1
Juan Hu	1
Yiwen Gong	1
Yanhong Lin	1
Peiyong Li	1
Kunyuan Guo	1
Zejun Wu	1
Zunquan Chen	1
Hong-Jian He	1
Guangcao Liu	1
Dairong Cao	1
Jianjun Zhou	1
Yiqing Zeng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI	2014	Yue Huang John Paisley Qin Lin Xinghao Ding Xueyang Fu Xiao–Ping Zhang	3
+	A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data	2010	Junfeng Yang Yin Zhang Wotao Yin	3
+ PDF Chat	MRzero ‐ Automated discovery of MRI sequences using supervised learning	2021	Alexander Loktyushin Kai Herz Hoai Nam Dang Felix Glang A Deshmane Simon Weinmüller Arnd Doerfler Bernhard Schölkopf Klaus Scheffler Moritz Zaiß	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection	2017	Pingping Zhang Dong Wang Huchuan Lu Hongyu Wang Xiang Ruan	2
+ PDF Chat	Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks	2017	Hao Dong Guang Yang Fangde Liu Yuanhan Mo Yike Guo	2
+ PDF Chat	Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging	2016	Yunsong Liu Zhifang Zhan Jian‐Feng Cai Di Guo Zhong Chen Xiaobo Qu	2
+ PDF Chat	MR fingerprinting Deep RecOnstruction NEtwork (DRONE)	2018	Ouri Cohen Bo Zhu Matthew S. Rosen	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+ PDF Chat	A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	2
+ PDF Chat	Forest Sparsity for Multi-Channel Compressive Sensing	2014	Chen Chen Yeqing Li Junzhou Huang	2
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	2
+	When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach	2018	Ding Liu Bihan Wen Xianming Liu Zhangyang Wang Thomas Huang	1
+	Self-Supervised Deep Active Accelerated MRI	2019	Kyong Hwan Jin Michaël Unser Kwang Moo Yi	1
+ PDF Chat	MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI	2019	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	1
+ PDF Chat	Motion Artifact Reduction Using a Convolutional Neural Network for Dynamic Contrast Enhanced MR Imaging of the Liver	2019	Daiki Tamada Marie‐Luise Kromrey Shintaro Ichikawa Hiroshi Onishi Utaroh Motosugi	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation	2015	Marijn Stollenga Wonmin Byeon Marcus Liwicki Juergen Schmidhuber	1
+	Deep Contrast Learning for Salient Object Detection	2016	Guanbin Li Yizhou Yu	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	1
+	Dynamic Filter Networks	2016	Bert De Brabandere Xu Jia Tinne Tuytelaars Luc Van Gool	1
+	When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach	2017	Ding Liu Bihan Wen Xianming Liu Zhangyang Wang Thomas S. Huang	1
+	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	2019	Faisal Mahmood Daniel Borders Richard J. Chen Gregory N. McKay Kevan J. Salimian Alexander S. Baras Nicholas J. Durr	1
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	1
+ PDF Chat	Deeply Supervised Salient Object Detection with Short Connections	2017	Qibin Hou Ming‐Ming Cheng Xiaowei Hu Ali Borji Zhuowen Tu Philip H. S. Torr	1
+ PDF Chat	k‐Space deep learning for reference‐free EPI ghost correction	2019	Ju Young Lee Yoseob Han Jae‐Kyun Ryu Jang‐Yeon Park Jong Chul Ye	1
+	mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis.	2019	Mahmut Yurt Salman Ul Hassan Dar Aykut Erdem Erkut Erdem Tolga Çukur	1
+ PDF Chat	Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network	2019	Anmol Sharma Ghassan Hamarneh	1
+ PDF Chat	Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities	2020	Woojin Jung Steffen Bollmann Jongho Lee	1
+	Game of Learning Bloch Equation Simulations for MR Fingerprinting	2020	Mingrui Yang Yun Jiang Dan Ma Bhairav Mehta Mark A. Griswold	1
+	Highway Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	1
+ PDF Chat	Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging	2020	Ayush Singh Seyed Sadegh Mohseni Salehi Ali Gholipour	1
+ PDF Chat	Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training	2018	Faisal Mahmood Richard J. Chen Nicholas J. Durr	1
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	1
+	Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods	2018	Rodrigo A. Lobos Tae Hyung Kim W. Scott Hoge Justin P. Haldar	1
+	Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin	2017	Mohsen Ghafoorian Nico Karssemeijer Tom Heskes Mayra I. Bergkamp Joost G.J. Wissink Jiri Obels Karlijn Keizer Frank‐Erik de Leeuw Bram van Ginneken Elena Marchiori	1
+	Physics-informed neural networks for myocardial perfusion MRI quantification	2022	Rudolf L. M. van Herten Amedeo Chiribiri Marcel Breeuwer Mitko Veta Cian M. Scannell	1
+ PDF Chat	Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks	2020	Fabian Balsiger Alain Jungo Olivier Scheidegger Benjamin Marty Mauricio Reyes	1
+	Robust autocalibrated structured low‐rank EPI ghost correction	2020	Rodrigo A. Lobos W. Scott Hoge Ahsan Javed Congyu Liao Kawin Setsompop Krishna S. Nayak Justin P. Haldar	1
+ PDF Chat	mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis	2021	Mahmut Yurt Salman Ul Hassan Dar Aykut Erdem Erkut Erdem Kader Karlı Oğuz Tolga Çukur	1
+ PDF Chat	DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets	2021	Jianpeng Zhang Yutong Xie Yong Xia Chunhua Shen	1
+ PDF Chat	MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T<sub>2</sub> Mapping With Severe Head Motion Using Overlapping-Echo Acquisition	2022	Qinqin Yang Yanhong Lin Jiechao Wang Jianfeng Bao Xiaoyin Wang Lingceng Ma Zihan Zhou Qizhi Yang Shuhui Cai Hongjian He	1
+	Recurrent inference machines as inverse problem solvers for MR relaxometry	2021	E.R. Sabidussi Stefan Klein Matthan W.A. Caan Shabab Bazrafkan Arnold J. den Dekker Jan Sijbers Wiro J. Niessen Dirk H. J. Poot	1
+ PDF Chat	Learning MRI artefact removal with unpaired data	2021	Siyuan Liu Kim‐Han Thung Liangqiong Qu Weili Lin Dinggang Shen Pew‐Thian Yap	1
+	Building high accuracy emulators for scientific simulations with deep neural architecture search	2021	Muhammad Kasim Duncan Watson‐Parris Lucia Deaconu Sophy Oliver Peter Hatfield D. H. Froula Giovanni Gregori M. J. Jarvis Samar Khatiwala Jun Korenaga	1
+ PDF Chat	<scp>CosmoPower</scp>: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys	2022	A. Spurio Mancini Davide Piras Justin Alsing Benjamin Joachimi M. P. Hobson	1
+	Compressed sensing	2006	David L. Donoho	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	The Loss Surfaces of Multilayer Networks	2015	Anna Choromanska Mikael Henaff Michaël Mathieu Gérard Ben Arous Yann LeCun	1