Segmentation of remote sensing images by incremental neural network
PATTERN RECOGNITION LETTERS, Vol. 26, No. 8, 2005, s. 1096-1104, ISSN: 0167-8655
MEHMET NADİR,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
|
Medical image segmentation with transform and moment based features and incremental supervised neural network
Digital Signal Processing, Vol. 19, No. 5, Eylül 2009, s. 890-901, ISSN: 10512004
ZAFER İŞCAN,YÜKSEL AYHAN,KORÜREK MEHMET,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
|
An incremental neural network for tissue segmentation in ultrasound images
Computer Methods and Programs in Biomedicine, Vol. 85, No. 3, Mart 2007, s. 187-195, ISSN: 01692607
MEHMET KURNAZ NADİR,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
|
Segmentation of ultrasound images by using a hybrid neural network
Pattern Recognition Letters, Vol. 23, No. 14, Aralık 2002, s. 1825-1836, ISSN: 01678655
ÖLMEZ ZÜMRAY,ÖLMEZ TAMER
|
Segmentation of medical images by using wavelet transform and incremental self organizing map
Lecture Notes in Artificial Intelligence, 2006, s. 800-809
ÖLMEZ TAMER
|
Tissue segmentation in ultrasound images by using genetic algorithms
Expert Systems with Applications, Vol. 34, No. 4, Mayıs 2008, s. 2739-2746, ISSN: 09574174
ÖLMEZ TAMER
|
Ultrasound image segmentation by using wavelet transform and self organizing neural network
Neural Information Processing - Letters and Reviews, Vol. 10, No. 8-9, 2006, s. 183-191
ÖLMEZ TAMER
|
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
|
Comparison of FCN and U-Net for Image Segmentation Using High Resolution Images and Aerial Orthophoto Maps
International Symposium on Applied Geoinformatics (ISAG 2019), Istanbul/TÜRKİYE, 7 Kasım 2019
ÖZTÜRK OZAN,SARITÜRK BATUHAN,ŞEKER DURSUN ZAFER
|
GIS BASED ACCURACY ASSESSMENT OF MULTI-RESOLUTION SEGMENTATION
EURASIAN GIS CONGRESS 2018, 4-7 September, Bakü, Azerbaycan, BAKÜ/AZERBAYCAN, 4 Eylül 2018, s. 75
DELEN AHMET,İNCEKARA ABDULLAH HARUN,ÖZTÜRK OZAN,ŞEKER DURSUN ZAFER
|
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
|
UAV-based evaluation of morphological changes induced by extreme rainfall events in meandering rivers
PLOS ONE, Vol. 15, No. 11, Ocak 2020, ISSN: 1932-6203
AKAY SEMİH SAMİ,ÖZCAN ORKAN,BALIK ŞANLI FUSUN,GÖRÜM TOLGA,ŞEN ÖMER LÜTFİ,BAYRAM BÜLENT
|
Formal versus Informal Labor Market Segmentation in Turkey in the course of Market Liberalization
Topics in Middle Eastern and North African Economies, Vol. 12, No. 1, 2010, s. 1-43
İLKKARACAN AJAS İPEK,MEHTAP HİSARCIKLILAR,AYDIN ERDAL
|
Method for content-based temporal segmentation of video
Patent No: US 6195458, Patent Sınıfı: B1, 2001
JİM WARNİCK, M. FERMAN, BİLG GUNSEL,,MUFİT FERMAN,BİLGE GUNSEL,MİLİND NAPHADE,RAJİV MEHROTRA
Bilge Günsel
Patent
SECTION B - PERFORMING OPERATIONS; TRANSPORTING
|
System and method for segmentation of anatomical structures in MRI volumes using graph cuts
Patent No: 8,379,957, Patent Sınıfı: US, 2013
G. SLABAUGH; G. UNAL, T. FANG; H. DOAN
|
Method and system for segmentation of tubular structures in 3D images
Patent No: 8,290,247, Patent Sınıfı: US, 2012
G. SLABAUGH, G. UNAL, T. FANG, B. WHİTED, R. JAROSLAW
|
Method and system for segmentation of tubular structures using pearl strings
Patent No: 8,280,125, Patent Sınıfı: US, 2012
G. SLABAUGH, G. UNAL, T. FANG, B. WHİTED, R. JAROSLAW
|
System and method for lesion segmentation in whole body magnetic resonance images
Patent No: 8,155,405, Patent Sınıfı: US, 2012
G. UNAL, G. SLABAUGH, T. FANG, S. LANKTON, V. CANDA, S. THESEN, S. QİNG
|
Method and apparatus for performing segmentation based on partial differential equations
Patent No: 7,957,591, Patent Sınıfı: US, 2011
G. UNAL, B. PENY, G. SLABAUGH, C. ALVİNO, T. FANG
|
Method and system for image segmentation by evolving radial basis functions
Patent No: 7,925,087, Patent Sınıfı: US, 2011
G. SLABAUGH, G. UNAL
|