Karina Chornenka Martin

Dr. Karina Chornenka Martin

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Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 May 2023 in Brain Sciences
Verified
Journal Article
Open access
PDF file
KMKarina Chornenka Martin
Karina Chornenka Martin
CMCrystal Ma
Crystal Ma
Stephen YipStephen Yip
Stephen Yip
Diffuse gliomas are the most common type of primary central nervous system (CNS) neoplasm to affect the adult population. The diagnosis of adult diffuse gliomas is dependent upon the integration of morphological features of the tumour with its underlying molecular alterations, and the integrative diagnosis has become of increased importance in the fifth edition of the WHO classification of CNS neoplasms (WHO CNS5). The three major diagnostic entities of adult diffuse gliomas are as follows: (1) astrocytoma, IDH-mutant; (2) oligodendroglioma, IDH-mutant and 1p/19q-codeleted; and (3) glioblastoma, IDH-wildtype. The aim of this review is to summarize the pathophysiology, pathology, molecular characteristics, and major diagnostic updates encountered in WHO CNS5 of adult diffuse gliomas. Finally, the application of implementing the necessary molecular tests for diagnostic workup of these entities in the pathology laboratory setting is discussed.

23 May 2024 in Cancers
Verified
Journal Article
Open access
PDF file
KRKatherine Rich
Katherine Rich
KTKira Nicole Tosefsky
Kira Nicole Tosefsky
KMKarina Chornenka Martin
Karina Chornenka Martin
ABAli Bashashati
Ali Bashashati
Stephen YipStephen Yip
Stephen Yip
In the past few decades, neuropathology has experienced several paradigm shifts with the introduction of new technologies. Deep learning, a rapidly progressing subfield of machine learning, seems to be the next innovation to alter the diagnostic workflow. In this review, we will explore the recent changes in the field of neuropathology and how this has led to an increased focus on molecular features in diagnosis and prognosis. Then, we will examine the work carried out to train deep learning models for various diagnostic tasks in neuropathology, as well as the machine learning frameworks they used. Focus will be given to both the challenges and successes highlighted therein, as well as what these trends may tell us about future roadblocks in the widespread adoption of this new technology. Finally, we will touch on recent trends in deep learning, as applied to digital pathology more generally, and what this may tell us about the future of deep learning applications in neuropathology.

8 December 2025 in Neuropathology
Verified
Journal Article
Open access
KMKarina Chornenka Martin
Karina Chornenka Martin
DSDan Straathof
Dan Straathof
CLChi Lai
Chi Lai
HVHarry V. Vinters
Harry V. Vinters
Ischemic stroke is a rare complication of hypereosinophilic syndrome (HES). Manifestations of stroke in HES have been described in the radiologic literature; however the pathologic characterization of central nervous system (CNS) involvement in HES is limited. In this small case series, we present two post‐mortem neuropathologic examinations of patients exhibiting CNS infarcts associated with HES and review the relevant literature.

7 January 2026 in Trends in Cancer
Verified
Journal Article
Closed access
MFMostafa Fatehi
Mostafa Fatehi
KTKira Nicole Tosefsky
Kira Nicole Tosefsky
SMSerge Makarenko
Serge Makarenko
KMKarina Chornenka Martin
Karina Chornenka Martin
RHRebecca Harrison
Rebecca Harrison
Stephen YipStephen Yip
Stephen Yip

1 November 2024 in Stroke
Verified
Journal Article
Closed access
MEMadeline W. Elder
Madeline W. Elder
Stephen YipStephen Yip
Stephen Yip
SMSina Marzoughi
Sina Marzoughi
KMKarina Chornenka Martin
Karina Chornenka Martin
MHMostafa Fatehi Hassanabad
Mostafa Fatehi Hassanabad
MRMichael A. Rizzuto
Michael A. Rizzuto