Gene Kitamura
Overview
Explore the profile of Gene Kitamura including associated specialties, affiliations and a list of published articles.
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11
Citations
122
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Recent Articles
1.
Zhou Z, Luo J, Arefan D, Kitamura G, Wu S
Proc IEEE Int Symp Biomed Imaging
. 2023 Oct;
2023.
PMID: 37885672
Curriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures of...
2.
Luo J, Kitamura G, Arefan D, Doganay E, Panigrahy A, Wu S
Mach Learn Med Imaging
. 2023 Oct;
12966:555-564.
PMID: 37808083
Elbow fracture diagnosis often requires patients to take both frontal and lateral views of elbow X-ray radiographs. In this paper, we propose a multiview deep learning method for an elbow...
3.
Kitamura G
Skeletal Radiol
. 2021 Feb;
50(9):1809-1819.
PMID: 33590305
Objectives: The purpose of this study was to determine whether machine learning algorithms can be utilized to optimize the hanging protocol of lumbar spine radiographs. Specifically, we explored whether machine...
4.
Kitamura G
Eur J Radiol
. 2020 Jul;
130:109139.
PMID: 32623269
Purpose: Recent papers have shown the utility of deep learning in detecting hip fractures with pelvic radiographs, but there is a paucity of research utilizing deep learning to detect pelvic...
5.
Kitamura G, Albers M, Lesniak B, Rabuck S, Musahl V, Andrews C, et al.
Arthrosc Sports Med Rehabil
. 2020 Apr;
1(1):e41-e46.
PMID: 32266339
Purpose: To determine whether using 3-dimensional (3D)-printed models in addition to computed tomography (CT) scans to evaluate the primary femoral and tibial tunnels before revision anterior cruciate ligament (ACL) reconstruction...
6.
Kitamura G, Deible C
Clin Imaging
. 2020 Jan;
61:15-19.
PMID: 31954346
Purpose: To validate a machine learning model trained on an open source dataset and subsequently optimize it to chest X-rays with large pneumothoraces from our institution. Methods: The study was...
7.
Kitamura G, Chung C, Moore 2nd B
J Digit Imaging
. 2019 Apr;
32(4):672-677.
PMID: 31001713
To determine whether we could train convolutional neural network (CNN) models de novo with a small dataset, a total of 596 normal and abnormal ankle cases were collected and processed....
8.
Kitamura G, Jacobson J, Zouros A, Neglio H
J Neurointerv Surg
. 2011 Oct;
2(4):394-8.
PMID: 21990655
Spinal cord intramedullary arteriovenous malformations (AVMs) pose a therapeutic challenge. Because of their complex angioanatomy, surgical excision of these lesions is difficult at best. Over the past decade, endovascular therapy...
9.
Kitamura G, Kido D, Wycliffe N, Jacobson J, Oyoyo U, Ashwal S
Pediatr Neurol
. 2011 Sep;
45(4):220-4.
PMID: 21907881
Magnetic resonance imaging is increasingly used to assess neonatal hypoxic-ischemic injury, and several scoring systems were developed to predict neurologic outcomes in these patients. We examined the magnetic resonance imaging...
10.
Kitamura G, Tingey C, Golkar L
Pediatr Dermatol
. 2010 Mar;
27(1):97-8.
PMID: 20199425
In diagnosing actinic prurigo (AP), the patients' ethnic background is very helpful as this condition is associated with very specific ethnic groups. We discuss a patient with an unknown family...