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Glioma Prognosis: Segmentation of the Tumor and Survival Prediction
  using Shape, Geometric and Clinical Information

Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information

2 April 2021
Mobarakol Islam
Jeya Maria Jose Valanarasu
Hongliang Ren
ArXiv (abs)PDFHTML

Papers citing "Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information"

8 / 8 papers shown
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath
  While Tracking Instruments in Robotic Surgery
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery
Mobarakol Islam
V. Vibashan
C. Lim
Hongliang Ren
192
44
0
10 Dec 2021
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
Mobarakol Islam
V. Vibashan
Jeya Maria Jose Valanarasu
Navodini Wijethilake
Uppal Utkarsh
Hongliang Ren
152
118
0
02 Apr 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation,
  Segmentation and Radiogenomic Survival Prediction
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Mobarakol Islam
Navodini Wijethilake
Hongliang Ren
163
36
0
17 Mar 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and
  Overall Patient Survival Prediction
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival PredictionArchives of Computational Methods in Engineering (ACME), 2021
R. Agravat
M. Raval
215
25
0
26 Jan 2021
Radiogenomics of Glioblastoma: Identification of Radiomics associated
  with Molecular Subtypes
Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
Navodini Wijethilake
Mobarakol Islam
D. Meedeniya
Charith D. Chitraranjan
I. Perera
Hongliang Ren
98
9
0
27 Oct 2020
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image
  and Volumetric Segmentation
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationIEEE Transactions on Medical Imaging (TMI), 2020
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
Ilker Hacihaliloglu
Vishal M. Patel
SSeg
264
199
0
04 Oct 2020
Prediction of Overall Survival of Brain Tumor Patients
Prediction of Overall Survival of Brain Tumor PatientsIEEE Region 10 Conference (TENCON), 2019
R. Agravat
M. Raval
166
17
0
10 Sep 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
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
484
1,880
0
05 Nov 2018
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