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2209.01402
Cited By
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
3 September 2022
J. Nalepa
Krzysztof Kotowski
B. Machura
Szymon Adamski
O. Bożek
Bartosz Eksner
Bartosz Kokoszka
Tomasz Pekala
Mateusz Radom
Marek Strzelczak
Lukasz Zarudzki
A. Krason
F. Arcadu
J. Tessier
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Papers citing
"Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients"
13 / 13 papers shown
Title
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang
Guohai Huang
Qiang Zhang
Jungong Han
Junwei Han
Yizhou Yu
74
220
0
07 Jan 2022
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
146
644
0
05 Jul 2021
nnU-Net for Brain Tumor Segmentation
Fabian Isensee
Paul F. Jaeger
Peter M. Full
Philipp Vollmuth
Klaus H. Maier-Hein
72
299
0
02 Nov 2020
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin
Mohamed E. Karar
J. Coburger
C. Wirtz
Oliver Burgert
43
176
0
26 Apr 2020
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
72
224
0
06 Nov 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
154
764
0
27 Aug 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
61
48
0
18 Jul 2019
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
87
492
0
31 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern Menze
M. Reyes
Verónica Vilaplana
63
196
0
30 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 Menze
141
1,639
0
05 Nov 2018
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
68
674
0
15 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.9K
77,441
0
18 May 2015
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
Jan Egger
Tina Kapur
Andrey Fedorov
S. Pieper
James V. Miller
Harini Veeraraghavan
Bernd Freisleben
A. Golby
C. Nimsky
Ron Kikinis
76
231
0
05 Mar 2013
1