Jason D Hipp
Overview
Explore the profile of Jason D Hipp 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
30
Citations
919
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.
Alsaafin A, Safarpoor A, Sikaroudi M, Hipp J, Tizhoosh H
Commun Biol
. 2023 Mar;
6(1):304.
PMID: 36949169
Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been...
2.
Nagpal K, Foote D, Tan F, Liu Y, Chen P, Steiner D, et al.
JAMA Oncol
. 2020 Jul;
6(9):1372-1380.
PMID: 32701148
Importance: For prostate cancer, Gleason grading of the biopsy specimen plays a pivotal role in determining case management. However, Gleason grading is associated with substantial interobserver variability, resulting in a...
3.
Kohlberger T, Liu Y, Moran M, Chen P, Brown T, Hipp J, et al.
J Pathol Inform
. 2020 Jan;
10:39.
PMID: 31921487
Background: Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF). OOF is often only detected...
4.
Nagpal K, Foote D, Liu Y, Chen P, Wulczyn E, Tan F, et al.
NPJ Digit Med
. 2019 Nov;
2:113.
PMID: 31754638
[This corrects the article DOI: 10.1038/s41746-019-0112-2.].
5.
Chen P, Gadepalli K, MacDonald R, Liu Y, Kadowaki S, Nagpal K, et al.
Nat Med
. 2019 Aug;
25(9):1453-1457.
PMID: 31406351
The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer, and thus guides therapy. However, these assessments demonstrate considerable variability and many regions of the...
6.
Hegde N, Hipp J, Liu Y, Emmert-Buck M, Reif E, Smilkov D, et al.
NPJ Digit Med
. 2019 Jul;
2:56.
PMID: 31304402
The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically have associated metadata...
7.
Nagpal K, Foote D, Liu Y, Chen P, Wulczyn E, Tan F, et al.
NPJ Digit Med
. 2019 Jul;
2:48.
PMID: 31304394
For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic...
8.
Hipp J, Johann D, Chen Y, Madabhushi A, Monaco J, Cheng J, et al.
J Pathol Inform
. 2019 Jan;
9:45.
PMID: 30622835
Introduction: The development and application of new molecular diagnostic assays based on next-generation sequencing and proteomics require improved methodologies for procurement of target cells from histological sections. Laser microdissection can...
9.
Steiner D, MacDonald R, Liu Y, Truszkowski P, Hipp J, Gammage C, et al.
Am J Surg Pathol
. 2018 Oct;
42(12):1636-1646.
PMID: 30312179
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises...
10.
Liu Y, Kohlberger T, Norouzi M, Dahl G, Smith J, Mohtashamian A, et al.
Arch Pathol Lab Med
. 2018 Oct;
143(7):859-868.
PMID: 30295070
Context.—: Nodal metastasis of a primary tumor influences therapy decisions for a variety of cancers. Histologic identification of tumor cells in lymph nodes can be laborious and error-prone, especially for...