Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model. - Antong Chen; Matthew A. Deeley; Kenneth J. Niermann; Luigi Moretti; Benoit M. Dawant (Image Processing, 2010)

Evaluation of multi atlas-based approaches for the segmentation of the thyroid gland in IMRT head-and-neck CT images. - Antong Chen; Kenneth J. Niermann; Matthew A. Deeley; Benoit M. Dawant (Image Processing, 2011)

Quantification of Cy-5 siRNA signal in the intra-vital multi-photon microscopy images. - 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; et al. (EMBC, 2012)

Segmentation of parotid glands in head and neck CT images using a constrained active shape model with landmark uncertainty. - Antong Chen; Jack H. Noble; Kenneth J. Niermann; Matthew A. Deeley; Benoit M. Dawant (Image Processing, 2012)

Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. - Antong Chen (2012)

Characterization of bone abnormalities from micro-CT images for evaluating drug toxicity in developmental and reproductive toxicology (DART) studies. - Belma Dogdas; Antong Chen; Saurin Mehta; Tosha Shah; Barbara Robinson; Dahai Xue; Alexa Gleason; L. David Wise; Randy Crawford; Irene Pak; Francisco Cruz 004; Sangeetha Somayajula; et al. (ISBI, 2015)

Targeting of deep-brain structures in nonhuman primates using MR and CT Images. - 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; et al. (Image-Guided Procedures, 2015)

Image-guided intracranial cannula placement for awake in vivo microdialysis in nonhuman primates. - 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; et al. (Image-Guided Procedures, 2016)

Automatic pose correction for image-guided nonhuman primate brain surgery planning. - 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; et al. (Image-Guided Procedures, 2016)

Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images. - Antong Chen; Tian Zhou 004; Ilknur Icke; Sarayu Parimal; Belma Dogdas; Joseph Forbes; Smita Sampath; Ansuman Bagchi; Chih-Liang Chin (STACOM@MICCAI, 2017)

Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning. - Tian Zhou 004; Ilknur Icke; Belma Dogdas; Sarayu Parimal; Smita Sampath; Joseph Forbes; Ansuman Bagchi; Chih-Liang Chin; Antong Chen (Image Processing, 2017)

A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. - Dongqing Zhang; Ilknur Icke; Belma Dogdas; Sarayu Parimal; Smita Sampath; Joseph Forbes; Ansuman Bagchi; Chih-Liang Chin; Antong Chen (ISBI, 2018)

Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. - Dongqing Zhang; Ilknur Icke; Belma Dogdas; Sarayu Parimal; Smita Sampath; Joseph Forbes; Ansuman Bagchi; Chih-Liang Chin; Antong Chen (Image Processing, 2018)

Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network. - Antong Chen; Dahai Xue; Tosha Shah; Catherine D. G. Hines; Alexa Gleason; Manishkumar Patel; Barbara Robinson; Britta Mattson; Belma Dogdas (Image Processing, 2019)

A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. - Bo Zhou 009; Antong Chen; Randolph Crawford; Belma Dogdas; Gregory Goldmacher (WACV, 2019)

A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. - Antong Chen; Jennifer Saouaf; Bo Zhou 009; Randolph Crawford; Jianda Yuan; Junshui Ma; Richard Baumgartner; Shubing Wang; Gregory Goldmacher (ISBI, 2020)

Restoration of Marker Occluded Hematoxylin and Eosin Stained Whole Slide Histology Images Using Generative Adversarial Networks. - Bairavi Venkatesh; Tosha Shah; Antong Chen; Soheil Ghafurian (ISBI, 2020)

Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks. - 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 (Image Processing, 2020)

Group Equivariant Generative Adversarial Networks. - Neel Dey; Antong Chen; Soheil Ghafurian (ICLR, 2021)

Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. - Dani Kiyasseh; Albert Swiston; Ronghua Chen; Antong Chen (MICCAI (2), 2021)

Automated localization and segmentation of vertebrae in the micro-CT images of rabbit fetuses using 3D Convolutional Neural Networks. - Antong Chen; Saideep Gona; Dahai Xue; Tosha Shah; Alexa Gleason; Barbara Robinson; Britta Mattson; Catherine D. G. Hines (Image Processing, 2021)

Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. - Haleh Akrami; Tosha Shah; Amir Vajdi; Andrew Brown; Radha Krishnan; Razvan Cristescu; Antong Chen (MOVI@MICCAI, 2022)

Prediction of tumor mutation burden from H&E whole-slide images: a comparison of training strategies with convolutional neural networks. - Antong Chen; Tosha Shah; Andrew Brown; Haleh Akrami; Albert Swiston; Amir Vajdi; Radha Krishnan; Razvan Cristescu (Digital and Computational Pathology, 2022)

Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations. - Shaoyan Pan; Yiqiao Liu; Sarah Halek; Michal Tomaszewski; Shubing Wang; Richard Baumgartner; Jianda Yuan; Gregory Goldmacher; Antong Chen (ISBI, 2023)

Deep learning-based rapid macrophage cell detection and localization in high-content microscopy screening. - Kristen Ong; Xuezhu Cai; Vasant Marur; Veronica Soloveva; Uwe Mueller; Antong Chen (Digital and Computational Pathology, 2023)

Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations. - Rajath Soans; Alexa Gleason; Tosha Shah; Corey Miller; Barbara Robinson; Kimberly Brannen; Antong Chen (CoRR, 2023)

3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning. - Yiqiao Liu; Sarah Halek; Randolph Crawford; Keith Persson; Michal Tomaszewski; Shubing Wang; Richard Baumgartner; Jianda Yuan; Gregory Goldmacher; Antong Chen (IEEE Access, 2024)

Predicting Ulcer in H&E Images of Inflammatory Bowel Disease Using Domain-Knowledge-Driven Graph Neural Network. - Ruiwen Ding; Lin Li; Rajath Soans; Tosha Shah; Radha Krishnan; Marc Alexander Sze; Sasha Lukyanov; Yash Deshpande; Antong Chen (ISBI, 2025)

Omnimamba4D: Spatio-Temporal Mamba for Longitudinal CT Lesion Segmentation. - Justin Namuk Kim; Yiqiao Liu; Rajath Soans; Keith Persson; Sarah Halek; Michal Tomaszewski; Jianda Yuan; Gregory Goldmacher; Antong Chen (ISBI, 2025)