2024
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
Liu C, Amodio M, Shen L, Gao F, Avesta A, Aneja S, Wang J, Del Priore L, Krishnaswamy S. CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. Lecture Notes In Computer Science 2024, 15008: 155-165. DOI: 10.1007/978-3-031-72111-3_15.Peer-Reviewed Original ResearchMedical image segmentationImage segmentationLack of labeled dataUnsupervised deep learning frameworkSegmenting medical imagesDeep learning frameworkBrain MRI imagesRetinal fundus imagesContrastive learningLearning frameworkUnsupervised methodDeep learningExpert annotationsData topologyMedical imagesGranularity levelsEmbedding mapHausdorff distanceFundus imagesDice coefficientImage dataEmbeddingAnnotationLearningMRI images
2019
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
Amodio M, Krishnaswamy S. TraVeLGAN: Image-to-image Translation by Transformation Vector Learning. 2019, 00: 8975-8984. DOI: 10.1109/cvpr.2019.00919.Peer-Reviewed Original ResearchImage translationSiamese networkHigh-level shapeVector learningDiscriminator networkUnsupervised modelTarget domainOriginal imageLatent spaceChallenging problemSignificant clutterNovel GANComplex domainNetworkImagesTwo-network systemTexture differencesVector transformationBetter resultsSemanticsRecent yearsDomainSystemLearningClutter