Daehan Won
Daehan Won
Binghamton University, State University of New York
Verified email at binghamton.edu
Cited by
Cited by
Healthcare intelligence: turning data into knowledge
H Yang, E Kundakcioglu, J Li, T Wu, JR Mitchell, AK Hara, W Pavlicek, ...
IEEE Intelligent Systems 29 (3), 54-68, 2014
Medical image synthesis with generative adversarial networks for tissue recognition
Q Zhang, H Wang, H Lu, D Won, SW Yoon
2018 IEEE International Conference on Healthcare Informatics (ICHI), 199-207, 2018
A dual-tree complex wavelet transform based convolutional neural network for human thyroid medical image segmentation
H Lu, H Wang, Q Zhang, D Won, SW Yoon
2018 IEEE International Conference on Healthcare Informatics (ICHI), 191-198, 2018
Prediction of chronic kidney disease using data mining techniques
MS Gharibdousti, K Azimi, S Hathikal, DH Won
IIE Annual Conference. Proceedings, 2135-2140, 2017
Classification of cervical cancer dataset
YMS Al-Wesabi, A Choudhury, D Won
Avishek Choudhury, Wesabi, Classification of Cervical Cancer Dataset …, 2018
Decision support system for renal transplantation
E Khan, A Choudhury, AL Friedman, D Won
arXiv preprint arXiv:1812.10381, 2018
Convex optimization for group feature selection in networked data
D Won, H Manzour, W Chaovalitwongse
INFORMS Journal on Computing 32 (1), 182-198, 2020
Lung nodule diagnosis on 3D computed tomography images using deep convolutional neural networks
Q Zhang, H Wang, SW Yoon, D Won, K Srihari
Procedia Manufacturing 39, 363-370, 2019
Altered visual contrast gain control is sensitive for idiopathic generalized epilepsies
D Won, W Kim, WA Chaovalitwongse, JJ Tsai
Clinical Neurophysiology 128 (2), 340-348, 2017
Real-Time stencil printing optimization using a hybrid multi-layer online sequential extreme learning and evolutionary search approach
H Lu, H Wang, SW Yoon, D Won
IEEE Transactions on Components, Packaging and Manufacturing Technology 9 …, 2019
A 3D convolutional neural network for volumetric image semantic segmentation
H Lu, H Wang, Q Zhang, SW Yoon, D Won
Procedia Manufacturing 39, 422-428, 2019
A boosting-based intelligent model for stencil cleaning prediction in surface mount technology
H Wang, H Lu, D Won, SW Yoon, K Srihari
Procedia Manufacturing 38, 447-454, 2019
Network optimization of functional connectivity within default mode network regions to detect cognitive decline
WA Chaovalitwongse, D Won, O Seref, P Borghesani, MK Askren, S Willis, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (7 …, 2017
A deep separable neural network for human tissue identification in three-dimensional optical coherence tomography images
H Wang, D Won, SW Yoon
IISE Transactions on Healthcare Systems Engineering 9 (3), 250-271, 2019
Data-driven prediction model of components shift during reflow process in surface mount technology
I Parviziomran, S Cao, H Yang, S Park, D Won
Procedia Manufacturing 38, 100-107, 2019
Optimization and machine learning frameworks for complex network analysis
D Won
Prediction of component shifts in pick and place process of surface mount technology using support vector regression
S Cao, I Parviziomran, H Yang, S Park, D Won
Procedia Manufacturing 39, 210-217, 2019
Diagnostic Network Modeling of Neural Connectivity Using Functional Magnetic Resonance Imaging
IEEE intelligent systems 29 (3), 62-65, 2014
Ischemic lesion segmentation using ensemble of multi-scale region aligned CNN
R Karthik, R Menaka, M Hariharan, D Won
Computer Methods and Programs in Biomedicine 200, 105831, 2021
Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors
J Sivakumar, S Ahmed, L Begdache, S Jain, D Won
Journal of personalized medicine 10 (4), 214, 2020
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