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Belma Dogdas
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2010 – 2019
- 2019
- [c15]Ilknur Icke, Alice Zhang, Sonal Singh, Belma Dogdas, Christian Mirescu, Matthew E. Kennedy, Sophia Bardehle:
3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease. Digital Pathology 2019: 109560O - [c14]Antong Chen, Dahai Xue, Tosha Shah, Catherine D. G. Hines, Alexa Gleason, Manishkumar Patel, Barbara Robinson, Britta Mattson, Belma Dogdas:
Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network. Image Processing 2019: 1094913 - [c13]Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmacher:
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. WACV 2019: 1-10 - 2018
- [c12]Chao-Hui Huang, Jens Brodbeck, Nena M. Dimaano, John Kang, Belma Dogdas, Douglas Rollins, Eric M. Gifford:
Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected Network. ICIAR 2018: 923-930 - [c11]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. ISBI 2018: 470-473 - [c10]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. Image Processing 2018: 105740A - [i3]Soheil Ghafurian, Peter Orth, Corey Strickland, Hua Su, Sangita Patel, Steven Soisson, Belma Dogdas:
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures. CoRR abs/1805.04563 (2018) - [i2]Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen:
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. CoRR abs/1811.04437 (2018) - [i1]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. CoRR abs/1811.06051 (2018) - 2017
- [c9]Antong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin:
Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images. STACOM@MICCAI 2017: 21-31 - [c8]Tian Zhou, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning. Image Processing 2017: 101331W - 2016
- [c7]Soheil Ghafurian, Antong Chen, Catherine D. G. Hines, Belma Dogdas, Ashleigh Bone, Kenneth Lodge, Stacey O'Malley, Christopher T. Winkelmann, Ansuman Bagchi, Laura S. Lubbers, Jason M. Uslaner, Colena Johnson, John Renger, Hatim A. Zariwala:
Automatic pose correction for image-guided nonhuman primate brain surgery planning. Image-Guided Procedures 2016: 97860O - [c6]Antong Chen, Ashleigh Bone, Catherine D. G. Hines, Belma Dogdas, Tamara O. Montgomery, Maria Michener, Christopher T. Winkelmann, Soheil Ghafurian, Laura S. Lubbers, John Renger, Ansuman Bagchi, Jason M. Uslaner, Colena Johnson, Hatim A. Zariwala:
Image-guided intracranial cannula placement for awake in vivo microdialysis in nonhuman primates. Image-Guided Procedures 2016: 978620 - 2015
- [c5]Belma Dogdas, Antong Chen, Saurin Mehta, Tosha Shah, Barbara Robinson, Dahai Xue, Alexa Gleason, L. David Wise, Randy Crawford, Irene Pak, Francisco Cruz, Sangeetha Somayajula, Ansu Bagchi, Colena Johnson, Britta Mattson, Christopher T. Winkelmann:
Characterization of bone abnormalities from micro-CT images for evaluating drug toxicity in developmental and reproductive toxicology (DART) studies. ISBI 2015: 671-674 - [c4]Antong Chen, Catherine D. G. Hines, Belma Dogdas, Ashleigh Bone, Kenneth Lodge, Stacey O'Malley, Brett Connolly, Christopher T. Winkelmann, Ansuman Bagchi, Laura S. Lubbers, Jason M. Uslaner, Colena Johnson, John Renger, Hatim A. Zariwala:
Targeting of deep-brain structures in nonhuman primates using MR and CT Images. Image-Guided Procedures 2015: 94152K - 2012
- [c3]Antong Chen, Belma Dogdas, Saurin Mehta, Kathleen Haskell, Bruce Ng, Ed Keough, Bonnie Howell, D. Adam Meacham, Amy G. Aslamkhan, Joseph Davide, Matthew Stanton, Ansuman Bagchi, Laura Sepp-Lorenzino
, Weikang Tao:
Quantification of Cy-5 siRNA signal in the intra-vital multi-photon microscopy images. EMBC 2012: 3712-3715 - 2011
- [j1]Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan
Microscopic image analysis for quantitative characterization of muscle fiber type composition. Comput. Medical Imaging Graph. 35(7-8): 616-628 (2011) - 2010
- [c2]Olcay Sertel, Belma Dogdas, Chi Sung Chiu, Metin N. Gurcan
Muscle histology image analysis for sarcopenia: registration of successive sections with distinct ATPase activity. ISBI 2010: 1423-1426
2000 – 2009
- 2002
- [c1]Belma Dogdas, David W. Shattuck, Richard M. Leahy:
Segmentation of the skull in 3D human MR images using mathematical morphology. Image Processing 2002
Coauthor Index
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