ARAMA SONUÇLARI

Toplam 84 adet sonuçtan 20 tanesi görüntülenmektedir.

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Özgün Makale Cardiac MR motion artefactsImage quality assessmentArtifactConvolutional neural networksLSTMNEURAL-NETWORKSQUALITY ASSESSMENT

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE

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

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

ARAMA SONUÇLARI

Arama

Yıllara göre arama