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Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free
  Survival using a Full-Scale UNet with Attention

Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

6 November 2021
Emmanuelle Bourigault
Daniel R. McGowan
A. Mehranian
Bartlomiej W. Papie.z
ArXivPDFHTML

Papers citing "Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention"

2 / 2 papers shown
Title
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and
  Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Vincent Andrearczyk
Valentin Oreiller
S. Boughdad
C. Cheze-le-Rest
H. Elhalawani
...
John O. Prior
M. Vallières
D. Visvikis
M. Hatt
A. Depeursinge
17
82
0
11 Jan 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
102
1,229
0
02 Jun 2016
1