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Toplam 278 adet sonuçtan 20 tanesi görüntülenmektedir.

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

Unsupervised Myocardial Segmentation for Cardiac BOLD

IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 36, No. 11, Kasım 2017, s. 2228-2238, ISSN: 0278-0062

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

İlkay Öksüz Özgün Makale Unsupervised segmentationoptical flowdictionary learningBOLDCINEcardiac MRILEFT-VENTRICLE SEGMENTATIONCORONARY-ARTERY STENOSISMULTI-ATLAS SEGMENTATIONHEARTREGISTRATIONMODELREGRESSIONTRACKING

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

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

Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning

IMAGE AND VISION COMPUTING, Vol. 150, Ocak 2024, s. 9, ISSN: 0262-8856

XU RURU,ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Cardiac MRI MRI sub-sampling Reinforcement learning Image segmentation Image reconstruction

Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels

IEEE ACCESS, Vol. 11, Ocak 2023, s. 12, ISSN: 2169-3536

DEARİ SABRİ, ULUKAYA SEZER, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Retinal vessels Switches Image analysis Blood vessels Distortion Diabetes Retinal vessel segmentation disout block attention switchable normalization

Joint myocardial registration and segmentation of cardiac BOLD MRI

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2017, Vol. 10663, 10 Eylül 2017, s. 12, ISSN: 16113349 03029743

ÖKSÜZ İLKAY,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS A.

İlkay Öksüz Tam metin bildiri SegmentationRegistrationMarkov random fieldsJoint optimizationCINE MRBOLD

3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bath

BIOMEDICAL MATERIALS, Vol. 19, No. 3, Ocak 2024, s. 14, ISSN: 1748-6041

SÖKMEN SERKAN,ÇAKMAK SONER,ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale medical image processing coronary artery segmentation deep learning 3D printing hydrogel support bath

Accurate Myocardial Pathology Segmentation with Residual U-Net

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images (MyoPS 2020), Lima/PERU, 4 Ekim 2020, ISSN: 0302-9743

ALTUNOK ELİF,ÖKSÜZ İLKAY

İlkay Öksüz Tam metin bildiri

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

GLIMS: Attention-guided lightweight multi-scale hybrid network for volumetric semantic segmentation

IMAGE AND VISION COMPUTING, Vol. 146, Ocak 2024, s. 12, ISSN: 0262-8856

YAZICI ZİYA ATA,ÖKSÜZ İLKAY,EKENEL HAZIM KEMAL

İlkay Öksüz Özgün Makale Medical image segmentation Convolutional neural network Vision transformer Multi -scale features Attention -guidance

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images

MEDICAL IMAGE ANALYSIS, Vol. 87, Ocak 2023, s. 17, ISSN: 1361-8415

Lİ LEİ, WU FUPİNG, WANG SİHAN, LUO XİNZHE, MARTÍN-ISLA CARLOS, ZHAİ SHUWEİ, ZHANG JİANPENG, LİU YANFEİ, ZHANG ZHEN, ANKENBRAND MARKUS J., JİANG HAOCHUAN, ZHANG XİAORAN, WANG LİNHONG, AREGA TEWODROS WELDEBİRHAN, ALTUNOK ELİF, ZHAO ZHOU, Lİ FEİYAN, MA JUN, YANG XİAOPİNG, PUYBAREAU ELODİE, ÖKSÜZ İLKAY, BRİCQ STEPHANİE, Lİ WEİSHENG, PUNİTHAKUMAR KUMARADEVAN, TSAFTARİS SOTİRİOS A., SCHREİBER LAURA M., YANG MİNGJİNG, LİU GUOCAİ, XİA YONG, WANG GUOTAİ, ESCALERA SERGİO, ZHUANG XİAHAİ

İlkay Öksüz Özgün Makale Myocardial pathology segmentation Multi-source images Cardiac magnetic resonance Multi-sequence MRI Benchmark

A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation

IEEE REVIEWS IN BIOMEDICAL ENGINEERING, Vol. 16, Ocak 2023, s. 16, ISSN: 1937-3333

BOHLENDER SİMON, ÖKSÜZ İLKAY, MUKHOPADHYAY ANİRBAN

İlkay Öksüz Özgün Makale Active contours CRF medical image segmentation MRF shape models shape priors

An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images

SENSORS, Vol. 22, No. 16, Ağustos 2022, s. 6210, ISSN: 1424-8220

ATİK MUHAMMED ENES,DURAN ZAİDE

Muhammed Enes Atik Özgün Makale autonomous driving deep learning light detection and ranging (LiDAR) point cloud semantic segmentation

Brain MRI Segmentation Using Fuzzy Clustering Algorithms

International Journal of Engineering Science and Application, Vol. 5, No. 4, Ocak 2021, s. 112-118, ISSN: 2587-2176

JAMALİNABİJAN FATEMEH, ESLAMİ AYDA BAHERİ, ÖZDEMİR GÜLCİHAN

Gülcihan Özdemir Özgün Makale Fuzzy; Image segmentation; clustering; Medical images

THE SEGMENTATION OF POINT CLOUDS WITH K-MEANS AND ANN (ARTIFICAL NEURAL NETWORK)

The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 12 Nisan 2017, ISSN: 2194-9034

EROL SERDAR,KUÇAK RAMAZAN ALPER,ÖZDEMİR EMRE

Ramazan Alper Kuçak Tam metin bildiri Lidar Laser Scanning Photogrammetry Segmentation K-means ANN

Zero-Shot Object Detection and Segmentation: A Focus on Street View Imagery

IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Michigan/AMERİKA BİRLEŞİK DEVLETLERİ, 13 Nisan 2024

TİLKİ SAHRA,KAPLAN AHMET,ZENGİN AYDIN TARIK

Aydın Tarık Zengin Tam metin bildiri Zero Shot Object Detectionimage segmentation

Accurate CNN-based pupil segmentation with an ellipse fit error regularization term

Expert Systems with Applications, Vol. 188, Şubat 2022, ISSN: 0957-4174

AKINLAR CÜNEYT, KÜÇÜKKARTAL HATİCE KÜBRA, TOPAL CİHAN

Cihan Topal Özgün Makale pupil segmentationconvolutional neural networksregularization termunet

Improving Road Segmentation by Combining Satellite Images and LiDAR Data with a Feature-Wise Fusion Strategy

Applied Sciences-Basel, Vol. 13, No. 10, Mayıs 2023, s. 6161, ISSN: 2076-3417

ÖZTÜRK OZAN, IŞIK MUSTAFA SERKAN, KADA MARTİN, ŞEKER DURSUN ZAFER

Ozan Öztürk Özgün Makale road segmentation; feature-wise fusion; LiDAR features; satellite images; U-Net; ResNet

A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images

Expert Systems with Applications, Vol. 212, No. 2023, Şubat 2023, s. 118774, ISSN: 0957-4174

ÇİVİLİBAL SONER, ÇEVİK KERİM KÜRŞAT, BOZKURT AHMET

Ahmet Bozkurt Özgün Makale Thermal breast imagesDetectionClassificationSegmentationMask R-CNNTransfer learning

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