Yang Jin

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ PDF Chat Proximité et dualité dans un espace hilbertien 1965 Jean Jacques Moreau
1
+ Review of inverse probability weighting for dealing with missing data 2011 Shaun R. Seaman
Ian R. White
1
+ Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm 2010 Chengjing Wang
Defeng Sun
Kim-Chuan Toh
1
+ Solving variational inequality problems via smoothing-nonsmooth reformulations 2001 Defeng Sun
Liqun Qi
1
+ Regularity and Conditioning of Solution Mappings in Variational Analysis 2004 Asen L. Dontchev
R. T. Rockafellar
1
+ Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties 2001 Jianqing Fan
Runze Li
1
+ PDF Chat Missing values: sparse inverse covariance estimation and an extension to sparse regression 2010 Nicolas StÀdler
Peter BĂŒhlmann
1
+ Model selection and estimation in the Gaussian graphical model 2007 Ming Yuan
Yi Lin
1
+ Sparse inverse covariance estimation with the graphical lasso 2007 Jerome H. Friedman
Trevor Hastie
R. Tibshirani
1
+ Necessary Optimality Conditions for Optimization Problems with Variational Inequality Constraints 1997 Jane J. Ye
Xinrui Ye
1
+ The Strong Second-Order Sufficient Condition and Constraint Nondegeneracy in Nonlinear Semidefinite Programming and Their Implications 2006 Defeng Sun
1
+ PDF Chat An overview of the estimation of large covariance and precision matrices 2016 Jianqing Fan
Yuan Liao
Han Liu
1
+ 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
1
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 ÖzgĂŒn Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
1
+ PDF Chat Feature Pyramid Networks for Object Detection 2017 Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
1
+ PDF Chat Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation 2018 Holger R. Roth
Le LĂŒ
Nathan Lay
Adam P. Harrison
Amal Farag
Andrew Sohn
Ronald M. Summers
1
+ PDF Chat A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans 2017 Yuyin Zhou
Lingxi Xie
Wei Shen
Yan Wang
Elliot K. Fishman
Alan Yuille
1
+ Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function 2017 Jinzheng Cai
Le LĂŒ
Yuanpu Xie
Fuyong Xing
Lin Yang
1
+ Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity 2017 Miju Ahn
Jong‐Shi Pang
Jack Xin
1
+ PDF Chat Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation 2018 Qihang Yu
Lingxi Xie
Yan Wang
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
1
+ PDF Chat Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming 2017 Deren Han
Defeng Sun
Liwei Zhang
1
+ PDF Chat CBAM: Convolutional Block Attention Module 2018 Sanghyun Woo
Jongchan Park
Joon‐Young Lee
In So Kweon
1
+ Attention gated networks: Learning to leverage salient regions in medical images 2019 Jo Schlemper
Ozan Oktay
Michiel Schaap
Mattias P. Heinrich‬
Bernhard Kainz
Ben Glocker
Daniel Rueckert
1
+ PDF Chat M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network 2019 Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying Chen
Ling Cai
Haibin Ling
1
+ PDF Chat Multi-branch convolutional neural network for multiple sclerosis lesion segmentation 2019 Shahab Aslani
Michael Dayan
Loredana Storelli
Massimo Filippi
Vittorio Murino
Maria A. Rocca
Diego Sona
1
+ Non-asymptotic rate for high-dimensional covariance estimation with non-independent missing observations 2019 Seongoh Park
Johan Lim
1
+ PDF Chat Dual Attention Network for Scene Segmentation 2019 Jun Fu
Jing Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
1
+ PDF Chat Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform 2016 Liang-Chieh Chen
Jonathan T. Barron
George Papandreou
Kevin Murphy
Alan Yuille
1
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto MilletarĂŹ
Nassir Navab
Seyed‐Ahmad Ahmadi
1
+ PDF Chat Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks 2012 Shiliang Sun
Rongqing Huang
Ya Gao
1
+ SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2017 Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
1
+ High-dimensional covariance matrix estimation with missing observations 2014 Karim Lounici
1
+ PDF Chat Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks 2019 Ningning Zhao
Nuo Tong
Dan Ruan
Ke Sheng
1
+ PDF Chat V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation 2019 Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
1
+ PDF Chat Squeeze-and-Attention Networks for Semantic Segmentation 2020 Zilong Zhong
Zhong Qiu Lin
Rene Bidart
Xiaodan Hu
Ibrahim Ben Daya
Zhifeng Li
Wei‐Shi Zheng
Jonathan Li
Alexander Wong
1
+ PDF Chat C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation 2020 Qihang Yu
Dong Yang
Holger R. Roth
Yutong Bai
Yixiao Zhang
Alan Yuille
Daguang Xu
1
+ PDF Chat A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems 2020 Yangjing Zhang
Ning Zhang
Defeng Sun
Kim-Chuan Toh
1
+ 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
JoĂŁo Manuel R. S. Tavares
Mehdi Moradi
Andrew P. Bradley
Hayit Greenspan
JoĂŁo Paulo Papa
Anant Madabhushi
1
+ 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
1
+ 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
1
+ PDF Chat DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation 2021 Yufan He
Dong Yang
Holger R. Roth
Can Zhao
Daguang Xu
1
+ PDF Chat SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation 2021 Xiaoman Zhang
Shixiang Feng
Yuhang Zhou
Ya Zhang
Yanfeng Wang
1
+ PDF Chat Estimating high-dimensional covariance and precision matrices under general missing dependence 2021 Seongoh Park
Xinlei Wang
Johan Lim
1
+ PDF Chat Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs 2022 Xiaohan Ding
Xiangyu Zhang
Jungong Han
Guiguang Ding
1
+ Covariance Selection 1972 A. P. Dempster
1
+ SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation 2022 Meng-Hao Guo
Cheng-Ze Lu
Qibin Hou
Zhengning Liu
Ming‐Ming Cheng
Shi‐Min Hu
1
+ 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation 2022 Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
1
+ Squeeze-and-Excitation Networks 2017 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1
+ PDF Chat HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet 2022 Peng Cheng
Andriy Myronenko
Ali Hatamizadeh
Vishwesh Nath
Md Mahfuzur Rahman Siddiquee
Yufan He
Daguang Xu
Rama Chellappa
Dong Yang
1