Margarita Kirienko

Fondazione IRCCS Istituto Nazionale dei Tumori

Italy

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Articles (15)

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2025

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2021

Collaborators (14)

daoud rahal

head of biopsy and interventional pathology section

IRCCS Humanitas Research Hospital

ITALY

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Arturo Chiti

Professor in Diagnostic Imaging and Radiotherapy

Università Cattolica del Sacro Cuore Facoltà di Medicina e Chirurgia

ITALY

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Wim J.G. Oyen

Professor of Diagnostic Imaging and Radiotherapy

Humanitas University

ITALY

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Giuseppe Mercante

Humanitas University

ITALY

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Francesco Amigoni

Full Professor

Politecnico di Milano

ITALY

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Rosanna Asselta

Full Professor in Medical Genetics

Humanitas University

ITALY

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Martina Sollini

Associate Professor in Diagnostic Imaging and Radiotherapy

Vita-Salute San Raffaele University

ITALY

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Alessandro BRUNO

Tenure-Track Assistant Professor

IULM University

ITALY

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Winette van der Graaf

Professor

The Netherlands Cancer Institute

NETHERLANDS

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Stefano Duga

Full Professor of Molecular Biology

Humanitas University

ITALY

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Andrea Gerardo Antonio Lania

Full Professor

Humanitas University

ITALY

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luca di tommaso

Associate professor of Pathology

Humanitas University

ITALY

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Giovanni Centonze

Fondazione IRCCS Istituto Nazionale dei Tumori

ITALY

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Massimo Falconi

Full Professor of Surgery

Università Cattolica del Sacro Cuore Facoltà di Medicina e Chirurgia

ITALY

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Margarita Kirienko

Research Interests

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Articles (15)

A roadmap for AI-aided digital twins in computational nuclear oncology: A position paper by the EANM

Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence

Personalised PET imaging in oncology: an umbrella review of meta-analyses to guide the appropriate radiopharmaceutical choice and indication

The LUTADOSE trial: tumour dosimetry after the first administration predicts progression free survival in gastro-entero-pancreatic neuroendocrine tumours (GEP NETs) patients treated with [177Lu]Lu-DOTATATE

Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions

The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the “Real World”?

The complementary role of PSMA expression and [18F]FDG PET/CT in predicting thyroid cancer outcome: from black and white to shades of gray, in the era of precision oncology

FAP expression in alpha cells of Langherhans insulae—implications for FAPI radiopharmaceuticals’ use

Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs

COVID-19 vaccination, implications for PET/CT image interpretation and future perspectives.

Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer

State-of-the-art of FAPI-PET imaging: a systematic review and meta-analysis

Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI

Application of FLIC model to predict adverse events onset in neuroendocrine tumors treated with PRRT.

The Impact of COVID-19 on Nuclear Medicine in Europe.

Collaborators (14)

daoud rahal

Arturo Chiti

Wim J.G. Oyen

Giuseppe Mercante

Francesco Amigoni

Rosanna Asselta

Martina Sollini

Alessandro BRUNO

Winette van der Graaf

Stefano Duga

Andrea Gerardo Antonio Lania

luca di tommaso

Giovanni Centonze

Massimo Falconi

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