Daniel C. Elton

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Automatic Recognition

Gaussian Mixture Model

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Tejas Sudharshan Mathai, Thomas C. Shen, Daniel C. Elton, Sungwon Lee, Zhiyong Lu, Ronald M. Summers
Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput. Medical Imaging Graph. 114 (2024)
Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
Universal detection and segmentation of lymph nodes in multi-parametric MRI. Int. J. Comput. Assist. Radiol. Surg. 19 (1) (2024)
Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. 77 (2022)
Daniel C. Elton, Andy Chen, Perry J. Pickhardt, Ronald M. Summers
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Medical Imaging: Computer-Aided Diagnosis (2022)
Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Lymph node detection in T2 MRI with transformers. Medical Imaging: Computer-Aided Diagnosis (2022)
Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI (2021)
Daniel C. Elton
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - An initial exploration. Cogn. Syst. Res. 67 (2021)
Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Lymph Node Detection in T2 MRI with Transformers. CoRR (2021)
Bruce Nielson, Daniel C. Elton
Induction, Popper, and machine learning. CoRR (2021)
Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. MLMI@MICCAI (2021)
Daniel C. Elton
Common Pitfalls When Explaining AI and Why Mechanistic Explanation Is a Hard Problem. ICICT (1) (2021)
Zois Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials. EUSIPCO (2020)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) (2020)
Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. CoRR (2020)
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. MICCAI (2) (2020)
Daniel C. Elton
Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences. CoRR (2020)
Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
Accurately identifying vertebral levels in large datasets. Medical Imaging: Computer-Aided Diagnosis (2020)
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. CoRR (2020)
Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP (2020)
Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
Accurately identifying vertebral levels in large datasets. CoRR (2020)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR (2020)
Daniel C. Elton
Self-explaining AI as an Alternative to Interpretable AI. AGI (2020)
Daniel C. Elton
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - an initial exploration. CoRR (2020)
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora. CoRR (2019)
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung
Deep learning for molecular generation and optimization - a review of the state of the art. CoRR (2019)
Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, Mark D. Fuge
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning. CoRR (2018)