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A Modality-Adaptive Method for Segmenting Brain Tumors and
  Organs-at-Risk in Radiation Therapy Planning

A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning

18 July 2018
Mikael Agn
P. Rosenschöld
Oula Puonti
M. Lundemann
L. Mancini
A. Papadaki
Steffi Thust
John Ashburner
I. Law
Koen van Leemput
ArXivPDFHTML

Papers citing "A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning"

5 / 5 papers shown
Title
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li
Hong Yu
Chen Chen
Meng Ding
Sen Zha
17
13
0
29 Mar 2022
Bayesian Logistic Shape Model Inference: application to cochlea image
  segmentation
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
Zihao Wang
T. Demarcy
C. Vandersteen
D. Gnansia
C. Raffaelli
N. Guevara
H. Delingette
MedIm
19
5
0
05 May 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
31
53
0
09 Mar 2021
Organ at Risk Segmentation for Head and Neck Cancer using Stratified
  Learning and Neural Architecture Search
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
Dazhou Guo
D. Jin
Zhuotun Zhu
T. Ho
Adam P. Harrison
Chun-Hung Chao
Jing Xiao
Alan Yuille
Chien-Yu Lin
Le Lu
22
59
0
17 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
23
162
0
09 Apr 2020
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