Korsuk Sirinukunwattana
Overview
Explore the profile of Korsuk Sirinukunwattana including associated specialties, affiliations and a list of published articles.
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33
Citations
1669
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Recent Articles
1.
Hu Y, Sirinukunwattana K, Li B, Gaitskell K, Domingo E, Bonnaffe W, et al.
Med Image Anal
. 2025 Jan;
101:103437.
PMID: 39798526
Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI)...
2.
Schoenpflug L, Chatzipli A, Sirinukunwattana K, Richman S, Blake A, Robineau J, et al.
J Pathol
. 2024 Dec;
265(2):184-197.
PMID: 39710952
Tumour content plays a pivotal role in directing the bioinformatic analysis of molecular profiles such as copy number variation (CNV). In clinical application, tumour purity estimation (TPE) is achieved either...
3.
Li R, Colombo M, Wang G, Rodriguez-Romera A, Benlabiod C, Jooss N, et al.
Sci Transl Med
. 2024 Oct;
16(768):eadj7552.
PMID: 39383242
Myeloproliferative neoplasms are stem cell-driven cancers associated with a large burden of morbidity and mortality. Most patients present with early-stage disease, but a substantial proportion progress to myelofibrosis or secondary...
4.
Ryou H, Sirinukunwattana K, Wood R, Aberdeen A, Rittscher J, Weinberg O, et al.
Hemasphere
. 2024 Jun;
8(6):e105.
PMID: 38884042
No abstract available.
5.
Lafarge M, Domingo E, Sirinukunwattana K, Wood R, Samuel L, Murray G, et al.
NPJ Precis Oncol
. 2024 Apr;
8(1):89.
PMID: 38594327
The development of deep learning (DL) models to predict the consensus molecular subtypes (CMS) from histopathology images (imCMS) is a promising and cost-effective strategy to support patient stratification. Here, we...
6.
Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz B, Byrne H, et al.
Leukemia
. 2023 Jan;
37(2):503.
PMID: 36635393
No abstract available.
7.
Ryou H, Sirinukunwattana K, Aberdeen A, Grindstaff G, Stolz B, Byrne H, et al.
Leukemia
. 2022 Dec;
37(2):348-358.
PMID: 36470992
The grading of fibrosis in myeloproliferative neoplasms (MPN) is an important component of disease classification, prognostication and monitoring. However, current fibrosis grading systems are only semi-quantitative and fail to fully...
8.
Martin N, Malacrino S, Wojciechowska M, Campo L, Jones H, Wedge D, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:3063-3067.
PMID: 36085678
Multiplexed immunofluorescence provides an un-precedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to combine features obtained from tissue morphology with measurements of protein...
9.
Gooding S, Ansari-Pour N, Kazeroun M, Karagoz K, Polonskaia A, Salazar M, et al.
Blood
. 2022 Jul;
140(16):1816-1821.
PMID: 35853156
The acquisition of a multidrug refractory state is a major cause of mortality in myeloma. Myeloma drugs that target the cereblon (CRBN) protein include widely used immunomodulatory drugs (IMiDs), and...
10.
Haghighat M, Browning L, Sirinukunwattana K, Malacrino S, Alham N, Colling R, et al.
Sci Rep
. 2022 Mar;
12(1):5002.
PMID: 35322056
Research using whole slide images (WSIs) of histopathology slides has increased exponentially over recent years. Glass slides from retrospective cohorts, some with patient follow-up data are digitised for the development...