Lawrence Hall
Overview
Explore the profile of Lawrence Hall 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
13
Citations
309
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Collazo C, Vargas I, Cara B, Weinheimer C, Grabau R, Goldgof D, et al.
Bioengineering (Basel)
. 2024 May;
11(5).
PMID: 38790302
The progress of incorporating deep learning in the field of medical image interpretation has been greatly hindered due to the tremendous cost and time associated with generating ground truth for...
2.
Bonnefoy Q, Hall L, Manzari C, Scherb C
Phys Rev Lett
. 2023 Dec;
131(22):221802.
PMID: 38101356
We propose theories of a complete mirror world with parity (P) solving the strong CP problem. P exchanges the entire standard model with its mirror copy. We derive bounds on...
3.
Fogarty R, Goldgof D, Hall L, Lopez A, Johnson J, Gadara M, et al.
Cancers (Basel)
. 2023 May;
15(8).
PMID: 37190264
Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in...
4.
Moreno S, Bonfante M, Zurek E, Cherezov D, Goldgof D, Hall L, et al.
Tomography
. 2021 May;
7(2):154-168.
PMID: 33946756
Lung cancer causes more deaths globally than any other type of cancer. To determine the best treatment, detecting EGFR and KRAS mutations is of interest. However, non-invasive ways to obtain...
5.
Paul R, Schabath M, Gillies R, Hall L, Goldgof D
Comput Biol Med
. 2020 Jul;
122:103882.
PMID: 32658721
Convolutional Neural Networks (CNNs) have been utilized for to distinguish between benign lung nodules and those that will become malignant. The objective of this study was to use an ensemble...
6.
Cherezov D, Goldgof D, Hall L, Gillies R, Schabath M, Muller H, et al.
Sci Rep
. 2019 Mar;
9(1):4500.
PMID: 30872600
We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can...
7.
Alahmari S, Cherezov D, Goldgof D, Hall L, Gillies R, Schabath M
IEEE Access
. 2019 Jan;
6:77796-77806.
PMID: 30607311
Low-dose computed tomography (LDCT) plays a critical role in the early detection of lung cancer. Despite the life-saving benefit of early detection by LDCT, there are many limitations of this...
8.
Alahmari S, Goldgof D, Hall L, Phoulady H, Patel R, Mouton P
J Chem Neuroanat
. 2018 Dec;
96:94-101.
PMID: 30594529
In recent decades stereology-based studies have played a significant role in understanding brain aging and developing novel drug discovery strategies for treatment of neurological disease and mental illness. A major...
9.
Cherezov D, Hawkins S, Goldgof D, Hall L, Balagurunathan Y, Gillies R, et al.
Conf Proc IEEE Int Conf Syst Man Cybern
. 2018 Nov;
2016:001939-1944.
PMID: 30473607
Computed tomography (CT) is widely used during diagnosis and treatment of Non-Small Cell Lung Cancer (NSCLC). Current computer-aided diagnosis (CAD) models, designed for the classification of malignant and benign nodules,...
10.
Paul R, Hall L, Goldgof D, Schabath M, Gillies R
Proc Int Jt Conf Neural Netw
. 2018 Nov;
2018.
PMID: 30443438
Lung cancer is the leading cause of cancer-related deaths globally, which makes early detection and diagnosis a high priority. Computed tomography (CT) is the method of choice for early detection...