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Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

2 July 2020

Gabriele Valvano

Andrea Leo

Sotirios A. Tsaftaris

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Papers citing "Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates"

41 / 41 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 88 623 0 17 Jan 2020
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation Zhanghexuan Ji Yan Shen Chunwei Ma Mingchen Gao 75 64 0 05 Nov 2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology J. Clough Nicholas Byrne Ilkay Oksuz Zhenzhong Lan Julia A. Schnabel A. King 63 221 0 04 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 152 764 0 27 Aug 2019
Multi-scale self-guided attention for medical image segmentation Ashish Sinha Jose Dolz SSeg 69 417 0 07 Jun 2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation Yuyin Zhou Zhe Li S. Bai Chong Wang Xinlei Chen Mei Han Elliot K. Fishman Alan Yuille 48 177 0 12 Apr 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors Weicheng Kuo A. Angelova Jitendra Malik Nayeon Lee 3DPC ISeg 75 118 0 05 Apr 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 107 126 0 22 Mar 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation Adrian Dalca John Guttag M. Sabuncu MedIm SSeg 111 147 0 07 Mar 2019
A Survey of Crowdsourcing in Medical Image Analysis S. Ørting Andrew Doyle A. Hilten Matthias Hirth Oana Inel C. Madan Panagiotis Mavridis Helen Spiers Veronika Cheplygina 64 69 0 25 Feb 2019
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 71 1,468 0 22 Aug 2018
Macro-Micro Adversarial Network for Human Parsing Yawei Luo Zhedong Zheng Liang Zheng T. Guan Junqing Yu Yi Yang AAML 189 140 0 22 Jul 2018
Learning to Segment Medical Images with Scribble-Supervision Alone Y. Can K. Chaitanya Basil Mustafa Lisa M. Koch E. Konukoglu Christian F. Baumgartner 46 88 0 12 Jul 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 73 239 0 12 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 74 751 0 17 Apr 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 5,060 0 11 Apr 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 101 441 0 06 Apr 2018
Normalized Cut Loss for Weakly-supervised CNN Segmentation Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers 59 319 0 04 Apr 2018
On Regularized Losses for Weakly-supervised CNN Segmentation Meng Tang Federico Perazzi Abdelaziz Djelouah Ismail Ben Ayed Christopher Schroers Yuri Boykov 75 295 0 26 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 157 4,442 0 16 Feb 2018
On the Effectiveness of Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 59 160 0 18 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 152 7,371 0 27 Oct 2017
Employing Weak Annotations for Medical Image Analysis Problems Martin Rajchl Lisa M. Koch C. Ledig Jonathan Passerat-Palmbach K. Misawa K. Mori Daniel Rueckert 45 11 0 21 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 722 132,199 0 12 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation Yuan Xue Tao Xu Han Zhang L. R. Long Xiaolei Huang MedIm GAN 69 548 0 06 Jun 2017
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 97 435 0 14 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 483 9,062 0 10 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 265 18,240 0 02 Jun 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation Di Lin Jifeng Dai Jiaya Jia Kaiming He Jian Sun SSeg 121 1,007 0 18 Apr 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation Anna Khoreva Rodrigo Benenson J. Hosang Matthias Hein Bernt Schiele WSOD VLM ISeg 91 747 0 24 Mar 2016
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 99 2,242 0 18 Jun 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 212 2,533 0 03 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation Jifeng Dai Kaiming He Jian Sun 191 1,045 0 05 Mar 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 243 2,536 0 11 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 346 2,243 0 18 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,685 0 17 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,777 0 01 May 2014