3D MRI brain tumor segmentation using autoencoder regularization

27 October 2018

Andriy Myronenko

Papers citing "3D MRI brain tumor segmentation using autoencoder regularization"

32 / 82 papers shown

Title
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 8 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 16 45 0 30 Dec 2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 11 36 0 30 Dec 2020
Exploring Large Context for Cerebral Aneurysm Segmentation Jun Ma Ziwei Nie 3DPC 11 8 0 30 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 24 88 0 28 Nov 2020
Efficient embedding network for 3D brain tumor segmentation Hicham Messaoudi Ahror Belaid M. Allaoui Ahcene Zetout Mohand Saïd Allili S. Tliba Douraied BEN SALEM Pierre-Henri Conze 3DV MedIm 14 14 0 22 Nov 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 25 31 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 10 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 9 292 0 02 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 26 324 0 28 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 61 66 0 19 Oct 2020
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline Farzin Negahbani Rasool Sabzi Bita Pakniyat Jahromi F. Movahedi Mahsa Kohandel Shirazi Shayan Majidi Dena Firouzabadi Amirreza Dehganian 22 1 0 09 Oct 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 26 15 0 05 Oct 2020
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data Theresa Neubauer M. Wimmer Astrid Berg David Major Dimitrios Lenis T. Beyer J. Saponjski Katja Bühler 18 7 0 28 Aug 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks Guotai Wang Tao Song Q. Dong Mei Cui Ning Huang Shaoting Zhang DiffM MedIm 24 73 0 07 Jul 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation Ali Hatamizadeh SSeg 21 3 0 23 Jun 2020
Enhancing Foreground Boundaries for Medical Image Segmentation Dong Yang H. Roth Xiaosong Wang Ziyue Xu Andriy Myronenko Daguang Xu 24 7 0 29 May 2020
Knowledge Distillation for Brain Tumor Segmentation Dmitrii Lachinov E. Shipunova Vadim Turlapov 18 15 0 10 Feb 2020
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs Andriy Myronenko Ali Hatamizadeh 23 45 0 06 Jan 2020
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation Minh H. Vu G. Grimbergen T. Nyholm Tommy Löfstedt SSeg 23 31 0 19 Dec 2019
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
Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net Markus Frey Maria Shugrina 13 17 0 04 Oct 2019
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks Andriy Myronenko Ali Hatamizadeh 11 33 0 14 Sep 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 13 750 0 27 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Anna Kuzina Evgenii Egorov Evgeny Burnaev MedIm 18 19 0 15 Aug 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation R. Dorent Samuel Joutard Marc Modat Sébastien Ourselin Tom Kamiel Magda Vercauteren MedIm 17 117 0 25 Jul 2019
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors J. Nalepa P. R. Lorenzo Michal Marcinkiewicz B. Bobek-Billewicz P. Wawrzyniak ... M. Kawulok Wojciech Dudzik Grzegorz Mrukwa Pawel Ulrych M. P. Hayball 24 47 0 18 Jul 2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation Xuhua Ren Lichi Zhang Sahar Ahmad Dong Nie Fan Yang L. Xiang Qian Wang D. Shen 19 26 0 21 May 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN Dongwook Lee Won-Jin Moon J. C. Ye GAN MedIm 25 8 0 10 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 16 148 0 06 Apr 2019
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features Xue Feng Nicholas J. Tustison C. Meyer 40 224 0 03 Dec 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 56 1,609 0 05 Nov 2018