Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
Alessa HeringLasse HansenTony C. W. MokAlbert C. S. ChungHanna SiebertStephanie HägerAnnkristin LangeSven KuckertzStefan HeldmannWei ShaoSulaiman VesalMirabela RusuGeoffrey A. SonnThéo EstienneMaria VakalopoulouLuyi HanYunzhi HuangMikael BrudforsYaël BalbastreSamuel JoutardMarc ModatGal LifshitzDan RavivJinxin LvQiang LiVincent JaouenDimitris VisvikisConstance FourcadeMathieu RubeauxWentao PanZhe XuBailiang JianFrancesca De BenettiMarek WodzinskiNiklas GunnarssonHuaqi QiuZeju LiChristoph GroßbröhmerAndrew HoopesIngerid ReinertsenYiming XiaoBennett A. LandmanYuankai HuoKeelin MurphyBram van GinnekenAdrian V. DalcaMattias P. HeinrichPublished in: CoRR (2021)
Keyphrases
- deep learning
- multi task
- medical image registration
- multi task learning
- learning tasks
- mutual information
- image registration
- unsupervised learning
- multi modality
- multiresolution
- machine learning
- medical images
- multi class
- weakly supervised
- feature selection
- learning problems
- feature set
- pairwise
- learning algorithm
- data mining