Eric Eaton
Overview
Explore the profile of Eric Eaton including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
9
Citations
127
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Ramprasad C, Saini D, Del Carmen H, Krasnovsky L, Chandra R, McGregor R, et al.
Gastro Hep Adv
. 2025 Jan;
4(2):100556.
PMID: 39866713
Background And Aims: Inadequate bowel preparation which occurs in 25% of colonoscopies is a major barrier to the effectiveness of screening for colorectal cancer. We aim to develop an artificial...
2.
Valdes G, Scholey J, Nano T, Gennatas E, Mohindra P, Mohammed N, et al.
Int J Radiat Oncol Biol Phys
. 2023 Nov;
119(1):66-77.
PMID: 38000701
Purpose: This study aimed to predict the probability of grade ≥2 pneumonitis or dyspnea within 12 months of receiving conventionally fractionated or mildly hypofractionated proton beam therapy for locally advanced...
3.
Baker M, New A, Aguilar-Simon M, Al-Halah Z, Arnold S, Ben-Iwhiwhu E, et al.
Neural Netw
. 2023 Jan;
160:274-296.
PMID: 36709531
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will...
4.
Reply to Nock and Nielsen: On the work of Nock and Nielsen and its relationship to the additive tree
Valdes G, Luna J, Gennatas E, Ungar L, Eaton E, Diffenderfer E, et al.
Proc Natl Acad Sci U S A
. 2020 Apr;
117(16):8694-8695.
PMID: 32265277
No abstract available.
5.
Gennatas E, Friedman J, Ungar L, Pirracchio R, Eaton E, Reichmann L, et al.
Proc Natl Acad Sci U S A
. 2020 Feb;
117(9):4571-4577.
PMID: 32071251
Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of...
6.
Luna J, Gennatas E, Ungar L, Eaton E, Diffenderfer E, Jensen S, et al.
Proc Natl Acad Sci U S A
. 2019 Sep;
116(40):19887-19893.
PMID: 31527280
The expansion of machine learning to high-stakes application domains such as medicine, finance, and criminal justice, where making informed decisions requires clear understanding of the model, has increased the interest...
7.
Reid J, Eaton E
Curr Opin Ophthalmol
. 2019 Jul;
30(5):337-346.
PMID: 31261187
Purpose Of Review: Despite the impressive results of recent artificial intelligence applications to general ophthalmology, comparatively less progress has been made toward solving problems in pediatric ophthalmology using similar techniques....
8.
Valdes G, Luna J, Eaton E, Simone 2nd C, Ungar L, Solberg T
Sci Rep
. 2016 Dec;
6:37854.
PMID: 27901055
Machine learning algorithms that are both interpretable and accurate are essential in applications such as medicine where errors can have a dire consequence. Unfortunately, there is currently a tradeoff between...
9.
Sharma M, Polavarapu R, Roseman D, Patel V, Eaton E, Kavi Kishor P, et al.
Exp Mol Pathol
. 2007 Dec;
84(1):46-58.
PMID: 18062962
Alcoholic liver disease (ALD) is an increasingly recognized condition that may progress to end-stage liver disease. In addition to alcohol consumption, genetic factors, dietary fatty acids, gender and viral infection...
10.
Sharma M, Polavarapu R, Roseman D, Patel V, Eaton E, Kavi Kishor P, et al.
Exp Mol Pathol
. 2006 Sep;
81(3):202-10.
PMID: 16949573
Background: Nonalcoholic fatty liver disease (NAFLD) is a common hepatic condition that may progress to end-stage liver disease. High-fat diets in animals reproduce many of the features found in nonalcoholic...