Antong Chen

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 23

Top Topics

Convolutional Neural Networks

Top Venues

Medical Imaging: Image Processing

Medical Imaging: Image-Guided Procedures

Publications

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)
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 (2023)
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 (2023)
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)
Neel Dey, Antong Chen, Soheil Ghafurian
Group Equivariant Generative Adversarial Networks. ICLR (2021)
Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. MICCAI (2) (2021)
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. Medical Imaging: Image Processing (2021)
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)
Neel Dey, Antong Chen, Soheil Ghafurian
Group Equivariant Generative Adversarial Networks. CoRR (2020)
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)
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. Medical Imaging: Image Processing (2020)
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 (2020)
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 (2019)
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. Medical Imaging: Image Processing (2019)
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)
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 (2018)
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 (2018)
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. Medical Imaging: Image Processing (2018)
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)
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. Medical Imaging: Image Processing (2017)
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)
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. Medical Imaging: Image-Guided Procedures (2016)
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. Medical Imaging: Image-Guided Procedures (2016)
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. Medical Imaging: Image-Guided Procedures (2015)
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)
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)
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. Medical Imaging: Image Processing (2012)
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. Medical Imaging: Image Processing (2011)
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. Medical Imaging: Image Processing (2010)