Daniel C. Elton

发表

Self-explaining AI as an Alternative to Interpretable AI

Daniel C. Elton, D. Elton, 2020, AGI.

Deep Small Bowel Segmentation with Cylindrical Topological Constraints

Ronald M. Summers, Daniel C. Elton, Sungwon Lee, 2020, MICCAI.

Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials

Zois Boukouvalas, Daniel C. Elton, Monica Puerto, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Deep learning for molecular generation and optimization - a review of the state of the art pdf

Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, 2019, Molecular Systems Design & Engineering.

Applying Deutsch’s concept of good explanations to artificial intelligence and neuroscience – An initial exploration

Daniel C. Elton, D. Elton, 2020, Cognitive Systems Research.

Accurately identifying vertebral levels in large datasets

Ronald M. Summers, Daniel C. Elton, Veit Sandfort, 2020, Medical Imaging.

Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora pdf

Zois Boukouvalas, Daniel C. Elton, Ruth M. Doherty, 2019, ArXiv.

Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning pdf

Zois Boukouvalas, Daniel C. Elton, Peter W. Chung, 2018, ArXiv.

Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model pdf

Yuxing Tang, Youbao Tang, Ronald M. Summers, 2020, MICCAI.

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentation

Ronald M. Summers, Daniel C. Elton, Sungwon Lee, 2020 .

Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences pdf

Daniel C. Elton, 2020, ArXiv.

Common Pitfalls When Explaining AI and Why Mechanistic Explanation Is a Hard Problem

Daniel C. Elton, D. Elton, 2021, ICICT.

Induction, Popper, and machine learning pdf

Daniel C. Elton, Bruce Nielson, D. Elton, 2021, ArXiv.

Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI

Daniel C. Elton, Yingying Zhu, Zhiyong Lu, 2021, MLMI@MICCAI.

Lymph node detection in T2 MRI with transformers pdf

Ronald M. Summers, Tejas Sudharshan Mathai, Daniel C. Elton, 2021, Medical Imaging.

Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles

Tejas Sudharshan Mathai, Daniel C. Elton, Yifan Peng, 2021, MLMI@MICCAI.

Machine Learning of Energetic Material Properties

William D. Mattson, Zois Boukouvalas, Brian C. Barnes, 2018, 1807.06156.

The hydrogen-bond network of water supports propagating optical phonon-like modes

Daniel C. Elton, D. Elton, M. Fernández-Serra, 2015, Nature Communications.

Long range optical phonons in liquid water

Daniel C. Elton, D. Elton, M. Fernández-Serra, 2015 .

Understanding the dielectric properties of water

Daniel C. Elton, D. Elton, 2016 .

The origin of the Debye relaxation in liquid water and fitting the high frequency excess response.

Daniel C. Elton, D. Elton, 2017, Physical chemistry chemical physics : PCCP.

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Daniel C. Elton, R. Summers, P. Pickhardt, 2021, Radiology.

Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning.

Daniel C. Elton, S. Nakada, P. Pickhardt, 2023, Journal of endourology.

A deep learning system for automated kidney stone detection and volumetric segmentation on non-contrast CT scans.

Daniel C. Elton, E. Turkbey, P. Pickhardt, 2022, Medical physics.

Applying machine learning techniques to predict the properties of energetic materials

Daniel C Elton, Zois Boukouvalas, Mark S Butrico, 2018, Scientific Reports.

Deep learning for molecular generation and optimization - a review of the state of the art

Daniel C. Elton, Peter W. Chung, M. Fuge, 2019, Molecular Systems Design & Engineering.

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection pdf

Ronald M. Summers, Yingying Zhu, Daniel C. Elton, 2020, ArXiv.

Pathological Water Science – Four Examples and What They Have in Common

Daniel C. Elton, D. Elton, P. D. Spencer, 2020, Biologically-Inspired Systems.

Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully-Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1,204 Heathy Adults Using Unenhanced CT as Reference Standard.

Daniel C. Elton, R. Summers, P. Pickhardt, 2020, AJR. American journal of roentgenology.

Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value.

Daniel C. Elton, R. Summers, P. Pickhardt, 2021, Radiographics : a review publication of the Radiological Society of North America, Inc.

Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast

Daniel C. Elton, R. Summers, P. Pickhardt, 2020, Abdominal Radiology.

Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.

Jiamin Liu, Daniel C Elton, Yingying Zhu, 2020, Academic radiology.