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2020 – today
- 2024
[j1]Yiqiao Liu
, Sarah Halek, Randolph Crawford, Keith Persson, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. IEEE Access 12: 32859-32869 (2024)- 2023
- [c24]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. ISBI 2023: 1-5 - [c23]Kristen Ong, Xuezhu Cai, Vasant Marur, Veronica Soloveva, Uwe Mueller, Antong Chen:
Deep learning-based rapid macrophage cell detection and localization in high-content microscopy screening. Digital and Computational Pathology 2023 - [i7]Rajath Soans, Alexa Gleason, Tosha Shah, Corey Miller, Barbara Robinson, Kimberly Brannen, Antong Chen:
Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations. CoRR abs/2307.06392 (2023) - [i6]Shaoyan Pan, Yiqiao Liu, Sarah Halek, Michal Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. CoRR abs/2309.01823 (2023) - 2022
- [c22]Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen:
Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. MOVI@MICCAI 2022: 126-135 - [c21]Antong Chen, Tosha Shah, Andrew Brown, Haleh Akrami, Albert Swiston, Amir Vajdi, Radha Krishnan, Razvan Cristescu:
Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks. Digital and Computational Pathology 2022 - 2021
- [c20]Neel Dey, Antong Chen, Soheil Ghafurian:
Group Equivariant Generative Adversarial Networks. ICLR 2021 - [c19]Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen:
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. MICCAI (2) 2021: 13-24 - [c18]Antong Chen, Saideep Gona, Dahai Xue, Tosha Shah, Alexa Gleason, Barbara Robinson, Britta Mattson, Catherine D. G. Hines:
Automated localization and segmentation of vertebrae in the micro-CT images of rabbit fetuses using 3D Convolutional Neural Networks. Image Processing 2021 - 2020
- [c17]Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian:
Restoration of Marker Occluded Hematoxylin and Eosin Stained Whole Slide Histology Images Using Generative Adversarial Networks. ISBI 2020: 591-595 - [c16]Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. ISBI 2020: 678-682 - [c15]Antong Chen, Charlene Zhi Lin Ong, Weiwei Luo, Chen Fei Lee, Ser Mien Chia, Joana Galvao, Daniel Metzger, Eric Gifford, Chih-Liang Chin, Asad Abu Bakar Ali:
Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks. Image Processing 2020: 1131339 - [i5]Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. CoRR abs/2003.02943 (2020) - [i4]Neel Dey, Antong Chen, Soheil Ghafurian:
Group Equivariant Generative Adversarial Networks. CoRR abs/2005.01683 (2020)
2010 – 2019
- 2019
- [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 - [i3]Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian:
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks. CoRR abs/1910.06428 (2019) - 2018
- [c12]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 - [c11]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 - [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
- [c10]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 - [c9]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
- [c8]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 - [c7]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
- [c6]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 - [c5]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
- [b1]Antong Chen:
Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. Vanderbilt University, Nashville, Tennessee, USA, 2012 - [c4]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 - [c3]Antong Chen, Jack H. Noble, Kenneth J. Niermann, Matthew A. Deeley, Benoit M. Dawant:
Segmentation of parotid glands in head and neck CT images using a constrained active shape model with landmark uncertainty. Image Processing 2012: 83140P - 2011
- [c2]Antong Chen, Kenneth J. Niermann, Matthew A. Deeley, Benoit M. Dawant:
Evaluation of multi atlas-based approaches for the segmentation of the thyroid gland in IMRT head-and-neck CT images. Image Processing 2011: 796224 - 2010
- [c1]Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, Benoit M. Dawant:
Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model. Image Processing 2010: 76231Q
Coauthor Index
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