v1v2v3 (latest)

3D MRI brain tumor segmentation using autoencoder regularization

27 October 2018

Andriy Myronenko

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

22 / 22 papers shown

Title
Mutual Evidential Deep Learning for Medical Image Segmentation Yuanpeng He Yali Bi Lijian Li Chi-Man Pun Wenpin Jiao Zhi Jin FedML 69 0 0 18 May 2025
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Vishwesh Nath Wenqi Li Dong Yang Andriy Myronenko Mingxin Zheng ... Holger Roth Daguang Xu Baris Turkbey Holger Roth Daguang Xu VLM 175 7 0 19 Nov 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge D. Labella Ujjwal Baid O. Khanna Shan McBurney-Lin Ryan McLean ... A. Abouelatta Tanvir Rizvi Klara Willms Dann C. Martin Abdullah Okar 104 8 0 16 May 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis Jiaxin Zhuang Linshan Wu Qiong Wang V. Vardhanabhuti Lin Luo Hao Chen Hao Chen 99 4 0 24 Apr 2024
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 142 2 0 02 Jan 2023
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI C. Russo Sidong Liu A. Di Ieva 96 22 0 17 Aug 2020
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 Menze 136 1,638 0 05 Nov 2018
Group Normalization Yuxin Wu Kaiming He 239 3,672 0 22 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Jingyu Sun Matthew Sinclair ... Martin Rajchl Matthew C. H. Lee Bernhard Kainz Daniel Rueckert Ben Glocker 3DV AAML OOD 67 436 0 04 Nov 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks Guotai Wang Wenqi Li Sebastien Ourselin Tom Vercauteren 70 482 0 01 Sep 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 366 27,253 0 20 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 802 36,892 0 25 Aug 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 99 1,749 0 19 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 240 8,722 0 15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 747 37,894 0 20 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 148 3,062 0 18 Mar 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 289 11,150 0 14 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013