Ying Zhuge
Ying Zhuge
Imaging Scientist at Radiation Oncology Branch, National Institutes of Health
Verified email at
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
A framework for evaluating image segmentation algorithms
JK Udupa, VR LeBlanc, Y Zhuge, C Imielinska, H Schmidt, LM Currie, ...
Computerized medical imaging and graphics 30 (2), 75-87, 2006
Medical image segmentation by combining graph cuts and oriented active appearance models
X Chen, JK Udupa, U Bagci, Y Zhuge, J Yao
IEEE transactions on image processing 21 (4), 2035-2046, 2012
Methodology for evaluating image-segmentation algorithms
JK Udupa, VR LaBlanc, H Schmidt, C Imielinska, PK Saha, GJ Grevera, ...
Medical Imaging 2002: Image Processing 4684, 266-277, 2002
Structural and functional imaging of normal bone marrow and evaluation of its age-related changes
JS Blebea, M Houseni, DA Torigian, C Fan, A Mavi, Y Zhuge, T Iwanaga, ...
Seminars in nuclear medicine 37 (3), 185-194, 2007
Automated glioma grading on conventional MRI images using deep convolutional neural networks
Y Zhuge, H Ning, P Mathen, JY Cheng, AV Krauze, K Camphausen, ...
Medical physics 47 (7), 3044-3053, 2020
Iterative relative fuzzy connectedness for multiple objects with multiple seeds
KC Ciesielski, JK Udupa, PK Saha, Y Zhuge
Computer Vision and Image Understanding 107 (3), 160-182, 2007
Brain tumor segmentation using holistically nested neural networks in MRI images
Y Zhuge, AV Krauze, H Ning, JY Cheng, BC Arora, K Camphausen, ...
Medical physics 44 (10), 5234-5243, 2017
Vectorial scale-based fuzzy-connected image segmentation
Y Zhuge, JK Udupa, PK Saha
Computer Vision and Image Understanding 101 (3), 177-193, 2006
Scale-based method for correcting background intensity variation in acquired images
Y Zhuge, JK Udupa, J Liu, PK Saha, T Iwanage
Medical Imaging 2002: Image Processing 4684, 1103-1111, 2002
CAVASS: a computer-assisted visualization and analysis software system
G Grevera, J Udupa, D Odhner, Y Zhuge, A Souza, T Iwanaga, S Mishra
Journal of digital imaging 20, 101-118, 2007
Intensity standardization simplifies brain MR image segmentation
Y Zhuge, JK Udupa
Computer vision and image understanding 113 (10), 1095-1103, 2009
Bias and class imbalance in oncologic data—towards inclusive and transferrable AI in large scale oncology data sets
E Tasci, Y Zhuge, K Camphausen, AV Krauze
Cancers 14 (12), 2897, 2022
Image background inhomogeneity correction in MRI via intensity standardization
Y Zhuge, JK Udupa, J Liu, PK Saha
Computerized Medical Imaging and Graphics 33 (1), 7-16, 2009
Brain tumor segmentation in MRI scans using deeply-supervised neural networks
R Pourreza, Y Zhuge, H Ning, R Miller
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
Detection of age-related changes in thoracic structure and function by computed tomography, magnetic resonance imaging, and positron emission tomography
DS Well, JM Meier, A Mahne, M Houseni, M Hernandez-Pampaloni, ...
Seminars in nuclear medicine 37 (2), 103-119, 2007
Parallel fuzzy connected image segmentation on GPU
Y Zhuge, Y Cao, JK Udupa, RW Miller
Medical physics 38 (7), 4365-4371, 2011
Output factor comparison of Monte Carlo and measurement for Varian TrueBeam 6 MV and 10 MV flattening filter‐free stereotactic radiosurgery system
JY Cheng, H Ning, BC Arora, Y Zhuge, RW Miller
Journal of applied clinical medical physics 17 (3), 100-110, 2016
GPU accelerated fuzzy connected image segmentation by using CUDA
Y Zhuge, Y Cao, RW Miller
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
Patient‐specific CT dosimetry calculation: a feasibility study
T Fearon, H Xie, JY Cheng, H Ning, Y Zhuge, RW Miller
Journal of applied clinical medical physics 12 (4), 196-209, 2011
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