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Computer-aided diagnosis and prediction in brain disorders
v1v2 (latest)

Computer-aided diagnosis and prediction in brain disorders

29 June 2022
Vikram Venkatraghavan
S. V. D. Voort
D. Bos
M. Smits
F. Barkhof
W. Niessen
S. Klein
Esther E. Bron
    OOD
ArXiv (abs)PDFHTML

Papers citing "Computer-aided diagnosis and prediction in brain disorders"

7 / 7 papers shown
Title
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI
  Scans using Deep Learning Models?
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Numan Saeed
Shahad Hardan
Kudaibergen Abutalip
Mohammad Yaqub
28
17
0
16 Jan 2022
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation
  and Radiogenomic Classification
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
Radiopathomics: Integration of radiographic and histologic
  characteristics for prognostication in glioblastoma
Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma
Saima Rathore
M. A. Iftikhar
M. Gürcan
Z. Mourelatos
LM&MAAI4CE
8
12
0
17 Sep 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease:
  Overview and Reproducible Evaluation
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
87
521
0
16 Apr 2019
Event-Based Modeling with High-Dimensional Imaging Biomarkers for
  Estimating Spatial Progression of Dementia
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Vikram Venkatraghavan
Florian Dubost
Esther E. Bron
W. Niessen
Marleen de Bruijne
S. Klein
33
4
0
08 Mar 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
141
1,639
0
05 Nov 2018
Why rankings of biomedical image analysis competitions should be
  interpreted with care
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
...
Ching-Wei Wang
M. Weber
G. Zheng
Pierre Jannin
A. Kopp-Schneider
66
302
0
06 Jun 2018
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