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Profil bibliographique

Golestan Karami

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

10Publications signalées
245Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Glioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingAdvanced MRI Techniques and ApplicationsFerroptosis and cancer prognosisAdvanced Neuroimaging Techniques and Applications

Les publications récentes

Accès ouvert 2024 review OpenAlex

Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies

Prajwal Ghimire, Ben Kinnersley, Golestan Karami, Prabhu Arumugam et autres

Background: Immunotherapy is an effective "precision medicine" treatment for several cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma patients may serve as preoperative biomarkers of the tumor-host immune apparatus. Validated biomarkers would have the potential to stratify patients during immunotherapy …

gb (code pays fourni par la source)

11 citations Neuro-Oncology Advances
Accès ouvert 2023 conference-abstract OpenAlex

RADIOGENOMICS FOR IMMUNOTHERAPY IN GLIOBLASTOMA

Prajwal Ghimire, Golestan Karami, Marc Modat, Thomas C. Booth

Abstract AIMS Immunotherapy is an effective precision medicine treatment for several cancers. Obtaining imaging signatures of the underlying genome (radiogenomics) in glioblastoma patients, has the potential to identify immune biomarkers pre-operatively and allow personalized neo-adjuvant treatment. The increased use of whole genome …

gb (code pays fourni par la source)

0 citations Neuro-Oncology
Accès ouvert 2023 article OpenAlex

RADIOGENOMIC DATASETS IN GLIOBLASTOMA: AN ESSENTIAL HURDLE

Prajwal Ghimire, Golestan Karami, Marc Modat, Thomas C. Booth

Abstract AIMS To evaluate current available datasets for radiogenomic analysis in glioblastoma METHOD A scoping review was performed in the literature from 2000-2023. List of datasets (open access, controlled, paid) available in the literature were tabulated. Qualitative analysis was performed. RESULTS Multiple …

gb (code pays fourni par la source)

0 citations Neuro-Oncology
Accès ouvert 2023 article OpenAlex

Advanced MR Techniques for Preoperative Glioma Characterization: Part 2

Gilbert Hangel, Bárbara Schmitz‐Abecassis, Nico Sollmann, Joana Pinto et autres

Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST …

at, nl, de, gb, es, br, sk, be, tr, ro, jp, us, no, ie, cz, pt (code pays fourni par la source)

64 citations Journal of Magnetic Resonance Imaging
Accès ouvert 2023 article OpenAlex

Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

Lydiane Hirschler, Nico Sollmann, Bárbara Schmitz‐Abecassis, Joana Pinto et autres

Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. …

nl, de, gb, es, br, sk, be, at, tr, ro, jp, us, no, ie, cz, pt (code pays fourni par la source)

86 citations Journal of Magnetic Resonance Imaging
Accès ouvert 2023 article OpenAlex

Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning

Golestan Karami, Riccardo Pascuzzo, Matteo Figini, Cosimo Del Gratta et autres

The WHO classification since 2016 confirms the importance of integrating molecular diagnosis for prognosis and treatment decisions of adult-type diffuse gliomas. This motivates the development of non-invasive diagnostic methods, in particular MRI, to predict molecular subtypes of gliomas before surgery. At present, …

it, gb (code pays fourni par la source)

13 citations Cancers
Accès ouvert 2021 article OpenAlex

Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique

Golestan Karami, Marco Giuseppe Orlando, Andrea Delli Pizzi, Massimo Caulo et autres

Despite advances in tumor treatment, the inconsistent response is a major challenge among glioblastoma multiform (GBM) that lead to different survival time. Our aim was to integrate multimodal MRI with non-supervised and supervised machine learning methods to predict GBM patients' survival time. …

it (code pays fourni par la source)

40 citations Cancers
Accès ouvert 2014 article OpenAlex

Optimization of Parameters in 16-slice CT-scan Protocols for Reduction of the Absorbed Dose

Shahrokh Naseri, Mahdi Momen Nezhad, Zahra Hozhabri, Abbas Haghparast et autres

Introduction In computed tomography (CT) technology, an optimal radiation dose can be achieved via changing radiation parameters such as mA, pitch factor, rotation time and tube voltage (kVp) for diagnostic images. Materials and Methods In this study, the brain, abdomen, and thorax …

ir (code pays fourni par la source)

2 citations DOAJ (DOAJ: Directory of Open Access Journals)
Accès ouvert 2013 article OpenAlex

Effect of Phase-Encoding Reduction on Geometric Distortion and BOLD Signal Changes in fMRI

Golestan Karami, Mohammad Ali Oghabian, Fariborz Faeghi, Mohammad Rasoul Tohidnia

Introduction Echo-planar imaging (EPI) is a group of fast data acquisition methods commonly used in fMRI studies. It acquires multiple image lines in k-space after a single excitation, which leads to a very short scan time. A well-known problem with EPI is …

ir (code pays fourni par la source)

3 citations DOAJ (DOAJ: Directory of Open Access Journals)

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