The first MICCAI challenge on PET tumor segmentation-Reference-Cited by-同舟云学术

The first MICCAI challenge on PET tumor segmentation

Published:2018-02 Issue: Volume:44 Page:177-195
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Hatt Mathieu,Laurent Baptiste,Ouahabi Anouar,Fayad Hadi,Tan Shan,Li Laquan,Lu Wei,Jaouen Vincent,Tauber Clovis,Czakon Jakub,Drapejkowski Filip,Dyrka Witold,Camarasu-Pop Sorina,Cervenansky Frédéric,Girard Pascal,Glatard Tristan,Kain Michael,Yao Yao,Barillot Christian,Kirov Assen,Visvikis Dimitris

Funder

France Life Imaging

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference46 articles.

1. A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography;Aristophanous;Med. Phys.,2007

2. The development and testing of a digital PET phantom for the evaluation of tumor volume segmentation techniques;Aristophanous;Med. Phys.,2008

3. K-means++: the advantages of careful seeding;Arthur,2007

4. Tumor quantification in clinical positron emission tomography;Bai;Theranostics,2013

5. Barillot, C., Bannier, E., et al., 2016. Shanoir: applying the software as a service distribution model to manage brain imaging research repositories. Front. ICT 3.

Cited by 114 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision;Biomedical Signal Processing and Control;2024-11

2. The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data;Medical Image Analysis;2024-10

3. Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research;Computers in Biology and Medicine;2024-09

4. 3D Multi-eXpert Fusion Framework For Prostate Segmentation In 3D TRUS Imaging;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance;Bioengineering;2024-02-27