Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

1 September 2017

Guotai Wang

Wenqi Li

Sebastien Ourselin

Tom Kamiel Magda Vercauteren

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Papers citing "Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks"

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Title
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation Haozhao Wang Yifeng Wu Huimin Huang Hongtao Wu Jia-Xuan Jiang ... Hao Zheng Xian Wu Yefeng Zheng Jinping Xu Jing Cheng MedIm 34 0 0 09 May 2025
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection Matheus A. Cerqueira Flávia Sprenger B. C. Teixeira A. X. Falcão 35 10 0 19 Mar 2024
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs Isaac Wasserman GAN 30 1 0 26 Oct 2022
Residual Channel Attention Network for Brain Glioma Segmentation Yiming Yao Peisheng Qian Ziyuan Zhao Zeng Zeng 26 2 0 22 May 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation Dingwen Zhang Guohai Huang Qiang Zhang Jungong Han Junwei Han Yizhou Yu 25 217 0 07 Jan 2022
A Tri-attention Fusion Guided Multi-modal Segmentation Network Tongxue Zhou S. Ruan P. Vera S. Canu MedIm 35 45 0 02 Nov 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework Xi Guan Guang Yang Jianming Ye Weiji Yang Xiaomei Xu Weiwei Jiang Xiaobo Lai 15 113 0 26 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 46 49 0 24 Jun 2021
Trinity: A No-Code AI platform for complex spatial datasets C. V. K. Iyer Feili Hou Henry Wang Yonghong Wang Kay Oh Swetava Ganguli Vipul Pandey SyDa 35 21 0 21 Jun 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 17 14 0 24 May 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 27 141 0 13 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages R. Pahwa S. W. Ho Ren Qin Richard Chang Oo Zaw Min ... T. Nwe Yanjing Yang J. Neumann R. Pichumani T. Gregorich 16 7 0 08 Mar 2021
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 25 26 0 12 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation Ngan Le Kashu Yamazaki Dat T. Truong Kha Gia Quach Marios Savvides MedIm 28 18 0 03 Dec 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 33 32 0 06 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge Lucas Fidon Sebastien Ourselin Tom Kamiel Magda Vercauteren OOD MedIm 24 41 0 03 Nov 2020
nnU-Net for Brain Tumor Segmentation Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Vollmuth Klaus H. Maier-Hein 31 292 0 02 Nov 2020
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans M. Hamghalam Baiying Lei Tianfu Wang MedIm 28 15 0 20 Oct 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions Yichi Zhang Qingcheng Liao Leiting Ding Jicong Zhang 3DV 26 81 0 13 Oct 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation Mehrdad Noori Ali Bahri K. Mohammadi 3DV 27 93 0 04 Apr 2020
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images F. Mostafaie Reihaneh Teimouri Zahra Nabizadeh N. Karimi S. Samavi 6 2 0 26 Feb 2020
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction Shuo Wang Chengliang Dai Yuanhan Mo Elsa D. Angelini Yike Guo Wenjia Bai 9 24 0 19 Nov 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning Dominik Muller Frank Kramer 22 117 0 21 Oct 2019
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation Hongying Liu Xiongjie Shen Fanhua Shang Fei Wang 28 43 0 17 Jul 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization Xuhua Ren Lichi Zhang Qian Wang Dinggang Shen 27 10 0 25 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 29 104 0 06 Jun 2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation Xuhua Ren Lichi Zhang Sahar Ahmad Dong Nie Fan Yang L. Xiang Qian Wang Dinggang Shen 19 26 0 21 May 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network Anmol Sharma Ghassan Hamarneh MedIm GAN 31 169 0 27 Apr 2019
Brain Tumor Segmentation on MRI with Missing Modalities Yan Shen Mingchen Gao 19 78 0 15 Apr 2019
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction Yannick R Suter Alain Jungo Michael Rebsamen Urspeter Knecht Evelyn Herrmann Roland Wiest M. Reyes 14 35 0 12 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern H. Menze 79 1,611 0 05 Nov 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation Ryan Sherman 24 4 0 27 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 16 151 0 18 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation A. Gholami Shashank Subramanian Varun Shenoy Naveen Himthani Xiangyu Yue Sicheng Zhao Peter H. Jin George Biros Kurt Keutzer MedIm 32 50 0 11 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
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 37 395 0 27 Sep 2018
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks Hoo-Chang Shin Neil A. Tenenholtz Jameson K. Rogers C. Schwarz M. Senjem J. Gunter Katherine P. Andriole Mark H. Michalski MedIm 27 534 0 26 Jul 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 20 84 0 20 Jul 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 52 581 0 19 Jul 2018
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss Jiachi Zhang Xiaolei Shen Tianqi Zhuo Hong Zhou 27 39 0 25 Dec 2017
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning Yang Nan Gianmarc Coppola Q. Liang Kunlin Zou Wei Sun Dan Zhang Yaonan Wang Guanzhen Yu 23 7 0 20 Dec 2017
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning Guotai Wang Wenqi Li Maria A. Zuluaga R. Pratt P. Patel ... T. Doel A. David Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren 41 686 0 11 Oct 2017