Antong Chen

635 citations

28 papers · 219 · h-index 8

Impact in

Pharmaceutical Science
- Drug Solubulity and Delivery Systems
Computer Vision and Pattern Recognition top 10%
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications

Papers in

Computer Vision and Pattern Recognition 15
- Medical Image Segmentation Techniques 10
- Digital Imaging for Blood Diseases 3
Radiology, Nuclear Medicine and Imaging 10
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 3

Co-authors: Benoît M. Dawant (5 shared papers)Kenneth J. Niermann (4 shared papers)Matthew A. Deeley (4 shared papers)Daniel Skomski (3 shared papers)Mike Marsh (2 shared papers)Nicolas Piché (2 shared papers)Xiangyu Ma (2 shared papers)Hanmi Xi (2 shared papers)
Journals: Journal of Pharmaceutical Sciences (1 paper)Medical Physics (1 paper)Microscopy and Microanalysis (1 paper)Powder Technology (1 paper)IEEE Access (1 paper)
Partner nations: United States Canada China

In The Last Decade

Antong Chen

23 papers receiving 214 citations

Peers

Countries citing papers authored by Antong Chen

Since Specialization

Citations

This map shows the geographic impact of Antong Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antong Chen more than expected).

Fields of papers citing papers by Antong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antong Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antong Chen. The network helps show where Antong Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Antong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antong Chen Line = papers co-authored together Antong Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability Journal of Pharmaceutical Sciences ·Xiangyu Ma, Nada Kittikunakorn, Bradley Sorman, Hanmi Xi, Antong Chen, Mike Marsh, Arthur Mongeau, Nicolas Piché, Robert O. Williams, Daniel Skomski	2020	68
2	Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images Medical Physics ·Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, Benoît M. Dawant	2010	36
3	Data-driven model and model paradigm to predict 1D and 2D particle size distribution from measured chord-length distribution Chemical Engineering Science ·Roberto Irizarry, Antong Chen, Randolph Crawford, Lorenzo Codan, Jochen Schoell	2017	22
4	A Multi-atlas Approach for the Automatic Segmentation of Multiple Structures in Head and Neck CT Images Antong Chen, Benoît M. Dawant	2016	16
5	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	2018	12
6	A deep learning solution for particle size analysis in low resolution inline microscopy images based on generative adversarial network Powder Technology ·Martin Vagenknecht, Jindřich Soukup, Antong Chen, Roberto Irizarry	2023	7
7	Evaluation of multi atlas-based approaches for the segmentation of the thyroid gland in IMRT head-and-neck CT images Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Antong Chen, Kenneth J. Niermann, Matthew A. Deeley, Benoît M. Dawant	2011	7
8	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, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher	2020	7
9	Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Tian Zhou, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih‐Liang Chin, Antong Chen	2017	7
10	Deep Learning Convolutional Neural Networks for Pharmaceutical Tablet Defect Detection Microscopy and Microanalysis ·Xiangyu Ma, Nada Kittikunakorn, Bradley Sorman, Hanmi Xi, Antong Chen, Mike Marsh, Arthur Mongeau, Nicolas Piché, Robert Williams, Daniel Skomski	2020	7
11	Theoretical Modeling and Mechanism of Drug Release from Long-Acting Parenteral Implants by Microstructural Image Characterization Industrial & Engineering Chemistry Research ·Roberto Irizarry, Daniel Skomski, Antong Chen, Ryan S. Teller, Seth Forster, Megan Mackey, Li Li	2018	6
12	Segmentation of parotid glands in head and neck CT images using a constrained active shape model with landmark uncertainty Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Antong Chen, Jack H. Noble, Kenneth J. Niermann, Matthew A. Deeley, Benoît M. Dawant	2012	5
13	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, Sangeetha Somayajula, Ansu Bagchi, Colena Johnson, Britta A. Mattson, Chris Winkelmann	2015	4
14	Targeting of deep-brain structures in nonhuman primates using MR and CT Images Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·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 J. Renger, Hatim A. Zariwala	2015	3
15	Research of Surge Protective Gap With Active-Energy-Coupling-Triggered Circuit IEEE Transactions on Plasma Science ·Xueling Yao, Jingliang Chen, Antong Chen	2011	3
16	Universal 3D CT lesion segmentation using SAM with RECIST annotation Yiqiao Liu, Sarah Halek, Lin Li, Michal R. Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen	2024	2
17	3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning IEEE Access ·Yiqiao Liu, Sarah Halek, Randolph Crawford, Keith Persson, Michal R. Tomaszewski, Shubing Wang, Richard Baumgartner, Jianda Yuan, Gregory Goldmacher, Antong Chen	2024	1
18	Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, Benoît M. Dawant	2010	1
19	Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks Antong Chen, C. Ong, Weiwei Luo, Chen Fei Lee, Ser Mien Chia, Joana Galvão, Daniel Metzger, Eric Gifford, Chih‐Liang Chin, Asad Ali	2020	1
20	Group Equivariant Generative Adversarial Networks Neel Dey, Antong Chen, Soheil Ghafurian	2021	1

About Antong Chen

Antong Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Biophysics, having authored 28 papers that have together received 219 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging and Analysis (6 papers), Cell Image Analysis Techniques (3 papers), Medical Imaging Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Pharmaceutical Science (27 citations), Computer Vision and Pattern Recognition (61 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Otorhinolaryngology (10 citations) and Radiation (18 citations). Antong Chen has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Benoît M. Dawant, Kenneth J. Niermann, Matthew A. Deeley, Daniel Skomski, Mike Marsh, Nicolas Piché, Xiangyu Ma, Hanmi Xi, Luigi Moretti and Robert O. Williams. Their work appears in journals such as Journal of Pharmaceutical Sciences, Medical Physics, Microscopy and Microanalysis, Powder Technology and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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