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Daniel C. Elton
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2020 – today
- 2024
- [j4]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): 163-170 (2024) - [j3]Tejas Sudharshan Mathai
Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput. Medical Imaging Graph. 114: 102363 (2024) - 2022
- [j2]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: 102345 (2022) - [c11]Daniel C. Elton
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Medical Imaging: Computer-Aided Diagnosis 2022 - [c10]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton
Lymph node detection in T2 MRI with transformers. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j1]Daniel C. Elton:
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - An initial exploration. Cogn. Syst. Res. 67: 9-17 (2021) - [c9]Daniel C. Elton:
Common Pitfalls When Explaining AI and Why Mechanistic Explanation Is a Hard Problem. ICICT (1) 2021: 401-408 - [c8]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: 101-109 - [c7]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI 2021: 682-691 - [i11]Bruce Nielson, Daniel C. Elton:
Induction, Popper, and machine learning. CoRR abs/2110.00840 (2021) - [i10]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 abs/2111.04885 (2021) - 2020
- [c6]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: 101-110 - [c5]Daniel C. Elton
Self-explaining AI as an Alternative to Interpretable AI. AGI 2020: 95-106 - [c4]Zois Boukouvalas, Monica Puerto, Daniel C. Elton
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials. EUSIPCO 2020: 1030-1034 - [c3]Daniel C. Elton
Accurately identifying vertebral levels in large datasets. Medical Imaging: Computer-Aided Diagnosis 2020 - [c2]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: 207-215 - [c1]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: 379-389 - [i9]Daniel C. Elton
Accurately identifying vertebral levels in large datasets. CoRR abs/2001.10503 (2020) - [i8]Daniel C. Elton
Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences. CoRR abs/2002.05149 (2020) - [i7]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 abs/2005.11384 (2020) - [i6]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 abs/2007.07230 (2020) - [i5]Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR abs/2007.08674 (2020) - [i4]Daniel C. Elton:
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - an initial exploration. CoRR abs/2012.09318 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1903.00415 (2019) - [i2]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 abs/1903.04388 (2019) - 2018
- [i1]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 abs/1811.00628 (2018)
Coauthor Index
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