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Hamidullah Binol
Hamidullah Binol
Data Scientist, Contractor @ Bayer
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Convolutional neural network-based clinical predictors of oral dysplasia: Class activation map analysis of deep learning results
S Camalan, H Mahmood, H Binol, ALD Araujo, AR Santos-Silva, ...
Cancers 13 (6), 1291, 2021
602021
Time Optimal Multi-UAV Path Planning for Gathering ITS Data from Roadside Units
H Binol, E Bulut, K Akkaya, I Guvenc
IEEE Vehicular Technology Conference (VTC), 2018
602018
Recognition of the stomach cancer images with probabilistic HOG feature vector histograms by using HOG features
SA Korkmaz, A Akçiçek, H Bínol, MF Korkmaz
2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017
602017
Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection
SA Korkmaz, H Binol
Journal of Molecular Structure 1156, 255-263, 2018
552018
Cloud-Based Federated Learning Implementation Across Medical Centers
S Rajendran, JS Obeid, H Binol, R D`Agostino Jr, K Foley, W Zhang, ...
JCO Clinical Cancer Informatics 5, 1-11, 2021
432021
Ros-NET: A Deep Convolutional Neural Network for Automatic Identification of Rosacea Lesions
H Binol, A Plotner, J Sopkovich, B Kaffenberger, MKK Niazi, MN Gurcan
Skin Research and Technology 26 (3), 413-421, 2020
372020
A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN
SA Korkmaz, H Bínol, A Akçiçek, MF Korkmaz
2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017
332017
Ensemble learning based multiple kernel principal component analysis for dimensionality reduction and classification of hyperspectral imagery
H Binol
Mathematical Problems in Engineering 2018, 2018
252018
Kernel Fukunaga–Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes
H Binol, G Bilgin, S Dinc, A Bal
IEEE Geoscience and Remote Sensing Letters 12 (6), 1287-1291, 2015
242015
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities
H Binol, AC Moberly, MKK Niazi, G Essig, J Shah, C Elmaraghy, T Teknos, ...
SPIE Medical Imaging: Computer-Aided Diagnosis, 2020
202020
SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips
H Binol, AC Moberly, MKK Niazi, G Essig, J Shah, C Elmaraghy, T Teknos, ...
Appl. Sci. 10 (17), 5894, 2020
182020
Improving SVDD Classification Performance on Hyperspectral Images Via Correlation Based Ensemble Technique
FS Uslu, H Binol, M Ilarslan, A Bal
Optics and Lasers in Engineering 89, 169-177, 2017
182017
Digital otoscopy videos versus composite images: A reader study to compare the accuracy of ENT physicians
H Binol, MKK Niazi, G Essig, J Shah, JK Mattingly, MS Harris, ...
The Laryngoscope, 2020
142020
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet
A Kumbhar, H Binol, I Guvenc, K Akkaya
IEEE Radio Wireless Symposium (RWS), 2019
142019
Target Oriented Dimensionality Reduction of Hyperspectral Data by Kernel Fukunaga-Koontz Transform
H Binol, S Ochilov, MS Alam, A Bal
Optics and Lasers in Engineering 89, 123-130, 2017
132017
Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review
S Ngombu, H Binol, AC Moberly, MN Gurcan
Otolaryngology–Head and Neck Surgery, 2022
112022
Heuristic approach for jointly optimising FeICIC and UAV locations in multi‐tier LTE‐advanced public safety HetNet
A Kumbhar, H Binol, S Singh, İ Güvenç, K Akkaya
IET Communications 14 (20), 3585-3598, 2020
92020
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning based Rosacea lesion identification
H Binol, MKK Niazi, A Plotner, J Sopkovich, B Kaffenberger, MN Gurcan
SPIE Medical Imaging: Computer-Aided Diagnosis, 2020
92020
Differential evolution algorithm-based kernel parameter selection for Fukunaga-Koontz Transform subspaces construction
H Binol, A Bal, H Cukur
High-Performance Computing in Remote Sensing V 9646, 204-208, 2015
92015
New methods based on mRMR_LSSVM and mRMR_KNN for diagnosis of breast cancer from microscopic and mammography images of some patients
SA Korkmaz, M Poyraz, A Bal, H Binol, IH Özercan, MF Korkmaz, ...
International Journal of Biomedical Engineering and Technology 19 (2), 105-117, 2015
92015
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