SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation

6 June 2017

Papers citing "SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation"

33 / 33 papers shown

Title
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M. Astaraki F. Benetti Yousef Yeganeh I. Toma-Dasu Orjan Smedby Chunliang Wang Nassir Navab T. Wendler 15 6 0 21 May 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 32 6 0 07 Feb 2023
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images Nooshin Yousefzadeh Charlie Tran Adolfo Ramirez-Zamora Jinghua Chen R. Fang My T. Thai 25 1 0 06 Feb 2023
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image S. Jameel S. Aydin N. Ghaeb Jafar Majidpour Tarik A. Rashid Sinan Q. Salih P. S. JosephNg GAN MedIm 14 16 0 25 Dec 2022
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images Jitesh Joshi N. Bianchi-Berthouze Youngjun Cho 19 7 0 21 Sep 2022
Driving Anomaly Detection Using Conditional Generative Adversarial Network Yuning Qiu Teruhisa Misu Carlos Busso 27 4 0 15 Mar 2022
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images Somrita Chattopadhyay A. Kak 18 4 0 10 Dec 2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification Yuan Xue Jiarong Ye Qianying Zhou L. R. Long Sameer Kiran Antani Z. Xue Carl Cornwell R. Zaino K. Cheng Xiaolei Huang MedIm 188 102 0 10 Nov 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels Zunlei Feng Zhonghua Wang Xinchao Wang Jing Zhang Lechao Cheng Jie Lei Yuexuan Wang Xiuming Zhang 27 13 0 01 Aug 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 570 0 27 May 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 28 53 0 09 Mar 2021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 22 573 0 08 Mar 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 23 1,041 0 02 Nov 2020
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation Hadi Jamali Rad Attila Szabo SSeg 20 1 0 19 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 26 78 0 29 May 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast Alceu Bissoto Eduardo Valle Sandra Avila 21 54 0 23 Apr 2020
Deep Learning in Medical Ultrasound Image Segmentation: a Review Ziyang Wang 19 28 0 18 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 36 667 0 16 Oct 2019
Brain MRI Tumor Segmentation with Adversarial Networks E. Giacomello Daniele Loiacono L. Mainardi GAN MedIm 18 6 0 07 Oct 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network Anmol Sharma Ghassan Hamarneh MedIm GAN 29 169 0 27 Apr 2019
Towards annotation-efficient segmentation via image-to-image translation Eugene Vorontsov Pavlo Molchanov Christopher Beckham Jan Kautz Samuel Kadoury MedIm 15 13 0 02 Apr 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 12 763 0 15 Jan 2019
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling Haoran You Yu Cheng Tianheng Cheng Chunliang Li Pan Zhou GAN 26 3 0 19 Nov 2018
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth Yuankai Huo Zhoubing Xu Hyeonsoo Moon Shunxing Bao A. Assad T. Moyo M. Savona R. Abramson Bennett A. Landman MedIm 40 225 0 15 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 22 21 0 09 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,370 0 19 Sep 2018
GANs for Medical Image Analysis Salome Kazeminia Christoph Baur Arjan Kuijper Bram van Ginneken Nassir Navab Shadi Albarqouni Anirban Mukhopadhyay MedIm AI4CE 18 408 0 13 Sep 2018
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection Mohsen Ghafoorian C. Nugteren N. Baka O. Booij M. Hofmann GAN 13 198 0 14 Jun 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 15 1,544 0 03 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 873 0 03 Mar 2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network Zizhao Zhang L. Yang Yefeng Zheng MedIm 38 377 0 27 Feb 2018

SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation

Papers citing "SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation"

SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation