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Toplam 371 adet sonuçtan 20 tanesi görüntülenmektedir.

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A Survey on Malware Detection with Deep Learning
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 34, 4 Kasım 2020, s. 1-6
ŞAHİN MUHAMMET, BAHTİYAR ŞERİF
Evaluation of Deep Learning Algorithms for 3D Semantic Segmentation in Outdoor Scenes
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 381-384
ATİK MUHAMMED ENES,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Vehicle Detection with Different Deep Learning Methods from Video
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 234-238
ÇEPNİ SÜMEYYE,ATİK MUHAMMED ENES,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Usage of Deep Learning for Image Segmentation from High Resolution Images,
Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği X. Teknik Sempozyumu, Aksaray/TÜRKİYE, 25 Nisan 2019, s. 86-89
ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER,BAYRAM BÜLENT,DURAN ZAİDE
Zaide Duran Tam metin bildiri
Sales Prediction with the Deep Learning Technique: A Case Study of Fast Food Sector
19th INTERNATIONAL SYMPOSIUM ON ECONOMETRICS, OPERATIONS RESEARCH AND STATISTICS, 17 Ekim 2018
ÖNER MAHİR,ÜSTÜNDAĞ ALP,GÜLOĞLU BÜLENT,GÜVEN MURAT
Bülent Güloğlu Tam metin bildiri
Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Cancers, Vol. 13, No. 11, Haziran 2021, s. 1-13, ISSN: 2072-6694
TANRIVER GİZEM, TEKKESİN MERVA SOLUK, ERGEN ONUR
Onur Ergen Özgün Makale
Pneumonia Detection and Classification Using Deep Learning on Chest X-Ray Images
International Journal of Intelligent Systems and Applications in Engineering, Vol. 8, No. 4, Ocak 2020, s. 177-183, ISSN: 2147-6799
DARICI MUAZZEZ BUKET,DOKUR ZÜMRAY,ÖLMEZ TAMER
Tamer Ölmez Özgün Makale
Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors
Diagnostic and Interventional Radiology, Vol. 26, No. 1, Ocak 2020, s. 11-21, ISSN: -
KAVUR ALİ EMRE,GEZER NACİYE SİNEM,BARIŞ MUSTAFA MAHMUT,ŞAHİN YUSUF HÜSEYİN,ÖZKAN SAVAŞ,BAYDAR BORA,YÜKSEL ULAŞ,KILIKÇIER ÇAĞLAR,OLUT ŞAHİN,AKAR GÖZDE BOZDAĞI,ÜNAL GÖZDE,DİCLE OĞUZ,SELVER MUSTAFA ALPER
Gözde Ünal Özgün Makale
Vehicle Detection with Different Deep Learning Methods from Video
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 234-238
ÇEPNİ SÜMEYYE,ATİK MUHAMMED ENES,DURAN ZAİDE
Muhammed Enes Atik Tam metin bildiri
Evaluation of Deep Learning Algorithms for 3D Semantic Segmentation in Outdoor Scenes
International Symposium on Applied Geoinformatics, İSTANBUL/TÜRKİYE, 7 Kasım 2019, s. 381-384
ATİK MUHAMMED ENES,DURAN ZAİDE
Muhammed Enes Atik Tam metin bildiri
Usage of Deep Learning for Image Segmentation from High Resolution Images,
Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği X. Teknik Sempozyumu, Aksaray/TÜRKİYE, 25 Nisan 2019, s. 86-89
ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER,BAYRAM BÜLENT,DURAN ZAİDE
Ozan Öztürk Tam metin bildiri
Building Extraction from High-Resolution Images Using Deep Learning Approach
International Symposium on Applied Geoinformatics (ISAG 2019), Istanbul/TÜRKİYE, 7 Kasım 2019
SARITÜRK BATUHAN,ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER,BAYRAM BÜLENT
Ozan Öztürk Tam metin bildiri
Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE Sensors Journal, Vol. 20, No. 6, Mart 2020, s. 3101-3112, ISSN: 1530-437X
TÜFEK NİLAY,YALÇIN MURAT,ALTINTAŞ MÜCAHİT,KALAOĞLU FATMA,Yİ Lİ,KURŞUN BAHADIR SENEM
Senem Kurşun Özgün Makale
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
Erke Arıbaş Tam metin bildiri
A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 28 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
Erke Arıbaş Tam metin bildiri
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
İlkay Öksüz Özet 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.
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
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.
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.
İlkay Öksüz Tam metin bildiri

İLETİŞİM BİLGİLERİ

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