Daniel C. Elton

26 papers Journal 15Unranked 11

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