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Toplam 430 adet sonuçtan 20 tanesi görüntülenmektedir.

A Data-Driven Multi-Regime Approach for Predicting Energy Consumption

ENERGIES, Vol. 14, No. 20, Ekim 2021, ISSN: 1996-1073

KAHRAMAN ABDULGANI, KANTARDZIC MEHMED, KAHRAMAN MUHAMMET MUSTAFA, KOTAN MUHAMMED

Muhammet Mustafa Kahraman Özgün Makale energy efficiency; energy consumption prediction; concept drift; deep learning; industrial machines

Mammographic Breast Positioning Assessment via Deep Learning

Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care., Marakeş/FAS, 6 Ekim 2024

TANYEL TOYGAR,DENİZOĞLU NURPER,ŞEKER MUSTAFA EGE,ALİŞ DENİZ CAN,ÇEREKÇİ ESMA,KARAARSLAN ERCAN,ARIBAL MUSTAFA ERKİN,ÖKSÜZ İLKAY

İlkay Öksüz Tam metin bildiri

Effect of synthetic CT on dose-derived toxicity predictors for MR-only prostate radiotherapy

BJR OPEN, Vol. 6, No. 1, Ocak 2024, s. 9, ISSN: 2513-9878

THOMAS CHRİSTOPHER,DREGELY ISABEL,ÖKSÜZ İLKAY,GUERRERO-URBANO TERESA,GREENER ANTONY,KİNG ANDREW P.,BARRİNGTON SALLY

İlkay Öksüz Özgün Makale synthetic CT rectal toxicity prostate artificial intelligence deep learning

Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study

Scientific Reports, Vol. 11, Ocak 2021, ISSN: 2045-2322

ALİŞ DENİZ CAN, YERGİN MERT, ALİŞ CEREN, TOPEL ÇAĞDAŞ, ASMAKUTLU OSMAN, BAĞCILAR ÖMER, SENLİ YESEREN DENİZ, ÜSTÜNDAĞ AHMET, SALT VEFA, NACAR DOĞAN SEBAHAT, VELİOĞLU MURAT, SELÇUK HAKAN HATEM, ÖKSÜZ İLKAY, KIZILKILIÇ OSMAN, KARAARSLAN ERCAN

İlkay Öksüz Özgün Makale

Electricity Price Forecasting Using Recurrent Neural Networks

ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073

UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY

İlkay Öksüz Özgün Makale electricity price forecastingdeep learninggated recurrent unitslong short term memoryartificial intelligenceturkish day-ahead marketREGIME-SWITCHING MODELSTIME-SERIESMARKETARIMALOADS

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

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

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Mart 2024, ISSN: 0018-9294

MACHADO INES,PUYOL-ANTON ESTHER,HAMMERNİK KERSTİN,CRUZ GASTAO,UĞURLU DEVRAN,OLAKOREDE IHSANE,ÖKSÜZ İLKAY,RUİJSİNK BRAM,CASTELO-BRANCO MİGUEL,YOUNG ALİSTAİR,PRİETO CLAUDİA,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Özgün Makale

Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning

REMOTE SENSING, Vol. 14, No. 21, Kasım 2022, s. 24, ISSN: 2072-4292

ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, YÜZÜGÜLLÜ ONUR, FAJRAOUİ NOURA, ERTEN ESRA

Esra Erten Özgün Makale soil moisture time series analysis long short-term memory ISMN Sentinel-1 SMAP

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

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

Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study

INSIGHTS INTO IMAGING, Vol. 14, No. 1, Ocak 2023, s. 11, ISSN: 1869-4101

KARAGÖZ AHMET, ALİŞ DENİZ CAN, ŞEKER MUSTAFA EGE, ZEYBEL GÖKBERK, YERGİN MERT, ÖKSÜZ İLKAY, KARAARSLAN ERCAN

İlkay Öksüz Özgün Makale Deep learning Magnetic resonance imaging Prostate cancer

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258

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

İlkay Öksüz Tam metin bildiri Cardiac MRImage quality assessmentMotion artefactsUK BiobankConvolutional Neural Networks

Deep learning for rectal spacer stratification in prostate boost radiotherapy

ESTRO 2020 European Society for Therapeutic Radiology and Oncology Meeting, Viyana/AVUSTURYA, 28 Kasım 2020

THOMAS CHRİSTOPHER, DREGELY ISABEL, ÖKSÜZ İLKAY, RBANO TERESA GUERRERO U, GREENER ANTONY, KİNG ANDREW P., BARRİNGTON SALLY

İlkay Öksüz Özet Bildiri

High-quality segmentation of low quality cardiac MR images using k-space artefact correction

MIDL 2019 - Medical Imaging with Deep Learning, Londra/İNGİLTERE, 8 Temmuz 2019

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

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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

Prediction of voxelwise mandibular osteoradionecrosis maps in HNC patients using deep learning

European Society for Radiotherapy & Oncology Conference ESTRO 2019, Milan/İTALYA, 26 Nisan 2019

HUMBERT-VİDAN LAİA, ÖKSÜZ İLKAY, PATEL VİNOD, ADJOGATSE DELALİ, KİNG ANDREW P., RBANO TERESA GUERRERO U

İlkay Öksüz Özet Bildiri

Channel Attention Networks for Robust MR Fingerprint Matching

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294

SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Dictionaries Computer architecture Image reconstruction Convolutional neural networks Convolution Testing Principal component analysis Channel attention deep learning MR fingerprinting reconstruction

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

Deep learning for rectal spacer stratification in prostate boost radiotherapy

European Society for Radiotherapy & Oncology Conference ESTRO 2020, Viyana/AVUSTURYA, 29 Kasım 2020

THOMAS CHRİSTOPHER, ÖKSÜZ İLKAY, KİNG ANDREW P., GUERRERO-URBANO TERESA, GREENER ANTONY, DREGELY ISABEL, BARRİNGTON SALLY

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