Dženan Zukić
Dženan Zukić
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Zitiert von
Zitiert von
User-guided segmentation of multi-modality medical imaging datasets with ITK-SNAP
PA Yushkevich, A Pashchinskiy, I Oguz, S Mohan, JE Schmitt, JM Stein, ...
Neuroinformatics 17, 83-102, 2019
Robust detection and segmentation for diagnosis of vertebral diseases using routine MR images
D Zukić, A Vlasák, J Egger, D Hořínek, C Nimsky, A Kolb
Computer Graphics Forum 33 (6), 190-204, 2014
Square-cut: a segmentation algorithm on the basis of a rectangle shape
J Egger, T Kapur, T Dukatz, M Kolodziej, D Zukić, B Freisleben, C Nimsky
PloS one 7 (2), e31064, 2012
Segmentation of Vertebral Bodies in MR Images.
D Zukic, A Vlasák, T Dukatz, J Egger, D Horínek, C Nimsky, A Kolb
VMV, 135-142, 2012
ND morphological contour interpolation
D Zukic, J Vicory, M McCormick, L Wisse, G Gerig, P Yushkevich, ...
Insight J 17, 1-27, 2016
Glioblastoma multiforme segmentation in MRI data with a balloon inflation approach
D Zukić, J Egger, MHA Bauer, D Kuhnt, B Carl, B Freisleben, A Kolb, ...
arXiv preprint arXiv:1102.0634, 2011
A new preclinical ultrasound platform for widefield 3D imaging of rodents
TJ Czernuszewicz, V Papadopoulou, JD Rojas, RM Rajamahendiran, ...
Review of Scientific Instruments 89 (7), 2018
A comparison of two human brain tumor segmentation methods for MRI data
J Egger, D Zukić, MHA Bauer, D Kuhnt, B Carl, B Freisleben, A Kolb, ...
arXiv preprint arXiv:1102.2382, 2011
Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method
J Egger, D Zukić, B Freisleben, A Kolb, C Nimsky
Computer methods and programs in biomedicine 110 (3), 268-278, 2013
ITKMontage: a software module for image stitching
D Zukić, M Jackson, D Dimiduk, S Donegan, M Groeber, M McCormick
Integrating Materials and Manufacturing Innovation 10, 115-124, 2021
Neural networks in 3D medical scan visualization
D Zukić, A Elsner, Z Avdagić, G Domik
arXiv preprint arXiv:0806.2925, 2008
Preoperative volume determination for pituitary adenoma
D Zukic, J Egger, MHA Bauer, D Kuhnt, B Carl, B Freisleben, A Kolb, ...
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 817-823, 2011
Development of a robotic shear wave elastography system for noninvasive staging of liver disease in murine models
TJ Czernuszewicz, AM Aji, CJ Moore, SA Montgomery, B Velasco, ...
Hepatology Communications 6 (7), 1827-1839, 2022
Calibration software for quantitative PET/CT imaging using pocket phantoms
D Zukić, DW Byrd, PE Kinahan, A Enquobahrie
Tomography 4 (3), 148-158, 2018
PET/CT-guided biopsy with respiratory motion correction
R Zhang, D Zukić, DW Byrd, A Enquobahrie, AM Alessio, K Cleary, ...
International journal of computer assisted radiology and surgery 14, 2187-2198, 2019
Medical Image Quality Assurance using Deep Learning
D Zukić, A Haley, C Lisle, J Klo, KM Pohl, HJ Johnson, A Chaudhary
Medical Imaging with Deep Learning, 2022
Adversarial bayesian optimization for quantifying motion artifact within mri
A Butskova, R Juhl, D Zukić, A Chaudhary, KM Pohl, Q Zhao
Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021
An open-source solution for shape modeling and analysis of objects of challenging topologies
J Vicory, D Allemang, D Zukic, J Prothero, M McCormick, B Paniagua
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021
Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series
R Grothausmann, D Zukić, M McCormick, C Mühlfeld, L Knudsen
Biomedical Image Registration: 9th International Workshop, WBIR 2020 …, 2020
RLEImage: run-length encoded memory compression scheme for an itk:: Image
D Zukic, M McCormick, G Gerig, P Yushkevich
Insight Journal (published online). URL http://hdl. handle. net/10380/3562 …, 2016
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