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Toplam 4 adet sonuçtan 4 tanesi görüntülenmektedir.

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Özel Aralık Girişi
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2 Haziran 2019
CLOUGH JAMES R.,ÖKSÜZ İLKAY,BRYNE NİCHOLAS,SCHNABEL JULİA A.,KİNG ANDREW P.
İlkay Öksüz Tam metin bildiri SegmentationTopologyPersistent homologyCardiac MRITopological data analysis
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol. 44, No. 12, Aralık 2022, s. 13, ISSN: 0162-8828
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA, SCHNABEL JULİA A., KİNG ANDREW P.
İlkay Öksüz Özgün Makale Image segmentation Topology Shape Training Loss measurement Neural networks Network topology Segmentation persistent homology topology medical imaging convolutional neural networks
A new non-archimedean metric on persistent homology
COMPUTATIONAL STATISTICS, Vol. 37, No. 4, Ocak 2022, s. 21, ISSN: 0943-4062
KAYGUN ATABEY, GÜZEL İSMAİL
Atabey Kaygun Özgün Makale Topological data analysis Persistent homology Cophenetic distance Hierarchical clustering Machine learning
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
IEEE Transactions on Pattern Analysis and Machine Intelligence, Eylül 2021, ISSN: 1939-3539
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA A., SCHNABEL JULİA A., KİNG ANDREW P.
İlkay Öksüz Özgün Makale

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