ARAMA SONUÇLARI

Toplam 52 adet sonuçtan 20 tanesi görüntülenmektedir.

Unsupervised Myocardial Segmentation for Cardiac MRI

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION MICCAI 2015, Münih/ALMANYA, Vol. 9351, No. null, 5 Ekim 2015, s. 12-20

MUKHOPADHYAY ANİRBAN,ÖKSÜZ İLKAY,MARCO BEVİLACQUA,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS A.

İlkay Öksüz Tam metin bildiri Unsupervised SegmentationDictionary LearningBOLDCINEMRILEFT-VENTRICLESPARSE REPRESENTATIONREGISTRATIONTRACKING

Automated Aortic Supravalvular Sinus Detection in Conventional Computed Tomography Image

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), Girne/KUZEY KIBRIS TÜRK CUMHURİYETİ, No. null, 24 Nisan 2013

ÜNAY DEVRİM,HARMANKAYA İBRAHİM,ÖKSÜZ İLKAY,KADIPAŞAOĞLU ABDURRAHMAN KAMURAN,ÇUBUK RAHMİ,ÇELİK LEVENT

İlkay Öksüz Tam metin bildiri supravalvular sinus detectionregion growingsegmentationComputed TomographySTENOSIS

REGION GROWING ON FRANGI VESSELNESS VALUES IN 3-D CTA DATA

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), Girne/KUZEY KIBRIS TÜRK CUMHURİYETİ, No. null, 24 Nisan 2013

ÖKSÜZ İLKAY,ÜNAY DEVRİM,KADIPAŞAOĞLU ABDURRAHMAN KAMURAN

İlkay Öksüz Tam metin bildiri Region GrowingFrangi VesselnessVessel SegmentationCoronary ArteriesMedical Image Processing

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

Comparison of Retinal Image Vessel Segmentation Using Learning Techniques

IV. International Bioengineering Conference (BIOENG'16), 23 Eylül 2016

ARIBAŞ ERKE,DAĞLARLI EVREN

Evren Dağlarlı Tam metin bildiri

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

EURASIP Journal on Image and Video Processing, Temmuz 2019, ISSN: 1687-5176

BAGHERSALİMİ SALEH,BOZORGTABAR BEHZAD,SCHMİD SAUGEON PHİLİPPE,EKENEL HAZIM KEMAL,THİRAN JEAN PHİLİPPE

Hazım Kemal Ekenel Özgün Makale

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

Method and system for image segmentation by evolving radial basis functions

Patent No: 7,925,087, Patent Sınıfı: US, 2011

G. SLABAUGH, G. UNAL

Gözde Ünal Patent SECTION H - ELECTRICITY

System and Method for Graph Cuts Image Segmentation Using a Shape Prior

Patent No: 7,400,767, Patent Sınıfı: US, 2009

G. SLABAUGH, G. UNAL

Gözde Ünal Patent SECTION H - ELECTRICITY

Active polyhedron for 3D image segmentation

Patent No: 7,333,105, Patent Sınıfı: US, 2008

G. SLABAUGH, G. UNAL, J. TYAN

Gözde Ünal Patent SECTION H - ELECTRICITY

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

MEDICAL IMAGE ANALYSIS, Vol. 18, No. 7, Ekim 2014, s. 1217-1232, ISSN: 1361-8415

RUDYANTO RİNA D.,KERKSTRA SJOERD,VAN RİLOWORT EVA M.,FETİTA CATALİN,BRİLLET PİERRE-YVES,LEFEVRE CHRİSTOPHE,XUE WENZHE,ZHU XİANGJUN,LİANG JİANMİNG,ÖKSÜZ İLKAY,ÜNAY DEVRİM,KADIPAŞAOĞLU ABDURRAHMAN KAMURAN,ESTEPAR RAUL SAN JOSE,ROSS JAMES C.,WASHKO GEORGE R.,PRİETO JUAN-CARLOS,MARCELA HERNANDEZ HOYOS,ORKİSZ MACİEJ,MEİNE HANS,HUELLEBRAND MARKUS,STOECKER CHRİSTİNA,MİR FERNANDO LOPEZ,NARANJO VALERY,VİLLANUEVA ELİSEO,STARİNG MARİUS,XİAO CHANGYAN,STOEL BEREND C.,FABİJANSKA ANNA,SMİSTAD ERİK,ELSTER ANNE C.,LİNDSETH FRANK,FORUZAN AMİR HOSSEİN,KİROS RYAN,POPURİ KARTEEK,COBZAS DANA,JİMENEZ-CARRETERO DANİEL,LEDESMA-CARBAYO MARİA J.,HELMBERGER MİCHAEL,URSCHLER MARTİN,MİCHAEL PİENN,BOSBOOM DENNİS G. H.,CAMPO ARANTZA,PROKOP MATHİAS,DE JONG PİM A.,ORTİZ-DE-SOLORZANO CARLOS,ARRATE MUNOZ-BARRUTİA,VAN GİNNEKEN BRAM

İlkay Öksüz Özgün Makale Thoracic computed tomographyLung vesselsAlgorithm comparisonSegmentationChallengeARTERY-VEIN SEPARATIONCURVILINEAR STRUCTURESPULMONARY-EMBOLISMAIDED DETECTIONCTEXTRACTIONTREEENHANCEMENTFILTERQUANTIFICATION

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

MEDICAL IMAGE ANALYSIS, Vol. 17, No. 8, Aralık 2013, s. 859-876, ISSN: 1361-8415

KİRİSLİ H. A.,SCHAAP M.,METZ C. T.,DHARAMPAL A. S.,MEİJBOOM W. B.,PAPADOPOULOU S. L.,DEDİC A.,NİEMAN K.,DE GRAAF M. A.,MEİJS M. F. L.,CRAMER M. J.,BROERSEN A.,CETİN SUHEYLA,ESLAMİ A.,FLOREZ-VALENCİA L.,LOR K. L.,MATUSZEWSKİ B.,MELKİ I.,MOHR B.,ÖKSÜZ İLKAY,SHAHZAD R.,WANG C.,KİTSLAAR P. H.,KATOUZİAN A.,ORKİSZ M.,CHEN C. M.,PRECİOSO F.,NAJMAN L.,MASOOD S.,L. VAN VLİET,MORENO R.,GOLDENBERG R.,VUCİNİ E.,KRESTİN G. P.,NİESSEN W. J.,VAN WALSUM T.

İlkay Öksüz Özgün Makale Standardized evaluation frameworkCoronary arteriesComputed tomography angiography (CTA)stenoses detectionstenoses quantificationAUTOMATIC DETECTIONCTDISEASEPLAQUE

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