Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation

2 April 2024

Yi Wang

Papers citing "Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation"

21 / 21 papers shown

Title
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI Yu-Min Zhong Yi Wang 60 12 0 29 Jun 2023
Three-dimensional micro-structurally informed in silico myocardium -- towards virtual imaging trials in cardiac diffusion weighted MRI Mojtaba Lashgari Nishant Ravikumar I. Teh Jing-Rebecca Li David L. Buckley Jurgen E. Schneider Alejandro F. Frangi 100 16 0 22 Aug 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 117 1,125 0 04 Jan 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation Zefan Yang Di Lin Dong Ni Yi Wang MedIm 52 6 0 02 Jan 2022
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation Yunhe Gao Mu Zhou Dimitris N. Metaxas MedIm ViT 76 430 0 02 Jul 2021
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound Yi Wang Haoran Dou Xiaowei Hu Lei Zhu Xin Yang Ming Xu J. Qin Pheng-Ann Heng Tianfu Wang Dong Ni MedIm 33 140 0 03 Jul 2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation P. Voigtlaender Yuning Chai Florian Schroff Hartwig Adam Bastian Leibe Liang-Chieh Chen VOS 107 419 0 25 Feb 2019
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation Nabil Ibtehaz Mohammad Sohel Rahman SSeg 53 1,636 0 11 Feb 2019
Deep Sequential Segmentation of Organs in Volumetric Medical Scans A. A. Novikov David Major M. Wimmer Dimitrios Lenis Katja Bühler 45 70 0 06 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 159 5,042 0 11 Apr 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 424 26,481 0 05 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 230 8,473 0 17 Jun 2017
Semantic Instance Segmentation via Deep Metric Learning Alireza Fathi Z. Wojna V. Rathod Peng Wang Hyun Oh Song S. Guadarrama Kevin Patrick Murphy SSeg 50 203 0 30 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 663 10,779 0 19 Feb 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,681 0 15 Jun 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen Xiaojuan Qi Lequan Yu Pheng-Ann Heng MedIm 67 581 0 10 Apr 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 134 3,057 0 18 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,247 0 23 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 560 7,989 0 13 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 308 4,177 0 26 Apr 2015
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,275 0 16 Dec 2013