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Deep Learning Based Brain Tumor Segmentation: A Survey

18 July 2020

Papers citing "Deep Learning Based Brain Tumor Segmentation: A Survey"

50 / 101 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation Dingwen Zhang Guohai Huang Qiang Zhang Jungong Han Junwei Han Yizhou Yu 67 219 0 07 Jan 2022
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 71 84 0 19 Aug 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 143 635 0 05 Jul 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 97 14 0 24 May 2021
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation M. Pendse Vithursan Thangarasa Vitaliy Chiley R. Holmdahl Joel Hestness D. DeCoste 47 12 0 19 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 59 144 0 13 Apr 2021
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet Mobarakol Islam V. Vibashan Jeya Maria Jose Valanarasu Navodini Wijethilake Uppal Utkarsh Hongliang Ren 28 92 0 02 Apr 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 61 11 0 02 Jan 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task Haozhe Jia Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 64 48 0 30 Dec 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 50 33 0 06 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T. Henry Alexandre Carré Marvin Lerousseau Théo Estienne C. Robert Nikos Paragios Eric Deutsch 39 76 0 30 Oct 2020
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint Chenyu Liu Wangbin Ding Lei Li Zhen Zhang Chenhao Pei Liqin Huang Xiahai Zhuang 48 26 0 29 Oct 2020
Modality-Pairing Learning for Brain Tumor Segmentation Yixin Wang Yao Zhang Feng Hou Yang Liu Jiang Tian Cheng Zhong Yang Zhang Zhiqiang He 123 68 0 19 Oct 2020
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network Hieu T. Nguyen T. Le T. Nguyen N. T. Nguyen 37 20 0 25 Sep 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning J. Iwasawa Y. Hirano Yohei Sugawara 46 9 0 23 Sep 2020
Brain tumour segmentation using cascaded 3D densely-connected U-net M. Ghaffari Arcot Sowmya Ruth Oliver 3DV 45 10 0 16 Sep 2020
Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks Zhongqiang Liu 29 4 0 10 Jul 2020
Vox2Vox: 3D-GAN for Brain Tumour Segmentation M. Cirillo David Abramian Anders Eklund 54 111 0 19 Mar 2020
Brain tumor segmentation with missing modalities via latent multi-source correlation representation Tongxue Zhou S. Canu P. Vera S. Ruan 63 46 0 19 Mar 2020
Knowledge Distillation for Brain Tumor Segmentation Dmitrii Lachinov E. Shipunova Vadim Turlapov 39 15 0 10 Feb 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 122 2,633 0 11 Dec 2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks Minh H. Vu T. Nyholm Tommy Löfstedt 53 32 0 11 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 73 478 0 02 Oct 2019
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation Woong Bae Seungho Lee Yeha Lee Beomhee Park Minki Chung Kyu-Hwan Jung 63 45 0 02 Sep 2019
Multi-step Cascaded Networks for Brain Tumor Segmentation Xiangyu Li Gongning Luo Kuanquan Wang 40 61 0 16 Aug 2019
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation Robin Brügger Christian F. Baumgartner E. Konukoglu SSeg 57 74 0 14 Jun 2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation Sungwoong Kim Ildoo Kim Sungbin Lim Woonhyuk Baek Chiheon Kim Hyungjoon Cho Boogeon Yoon Taesup Kim 128 75 0 13 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 57 105 0 06 Jun 2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation Chenhong Zhou Changxing Ding Xinchao Wang Zhentai Lu Dacheng Tao 63 168 0 05 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 142 18,134 0 28 May 2019
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI Chen Chen Xiaopeng Liu Meng Ding Junfeng Zheng Jiangyun Li MedIm 74 150 0 06 Apr 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 131 4,056 0 25 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,595 0 21 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation Adrià Casamitjana Hugo J. Kuijf Bjoern Menze M. Reyes Verónica Vilaplana 51 196 0 30 Dec 2018
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,045 0 27 Oct 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities Jose Dolz Ismail Ben Ayed Christian Desrosiers 51 100 0 16 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Deep Recurrent Level Set for Segmenting Brain Tumors T. Hoang Raajitha Gummadi Marios Savvides 3DV 38 36 0 10 Oct 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 163 1,283 0 10 Oct 2018
Glioma Segmentation with Cascaded Unet Dmitrii Lachinov Evgeny Vasiliev Vadim Turlapov 41 54 0 09 Oct 2018
Survival prediction using ensemble tumor segmentation and transfer learning Mariano Cabezas Sergi Valverde Sandra González-Villá Albert Clérigues Mostafa Salem Kaisar Kushibar J. Bernal A. Oliver Xavier Llado 26 24 0 04 Oct 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 94 400 0 27 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 162 2,455 0 06 Sep 2018
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction Po-Yu Kao Thuyen Ngo Angela Zhang Jefferson W. Chen B. S. Manjunath 46 84 0 20 Jul 2018
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net Yang Deng Yao Sun Yongpei Zhu Mingwang Zhu Wei Han Kehong Yuan 39 13 0 19 Jul 2018
ResNet with one-neuron hidden layers is a Universal Approximator Hongzhou Lin Stefanie Jegelka 105 228 0 28 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 49 49 0 14 Jun 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 59 265 0 13 Jun 2018
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu DiffM 73 383 0 11 May 2018