Nico Curti

Junior assistant professor (fixed-term)

University of Bologna

Italy

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About

Dr. Nico Curti is a Junior Assistant Professor (fixed-term) at the University of Bologna, Italy. His research focuses on the intersection of radiomics and machine learning, particularly in applications related to sinonasal tumors, hematological malignancies, and wound care. He has contributed to numerous articles exploring automated image analysis techniques and the development of advanced methodologies for medical imaging.

Articles (13)

Year:

2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

Year:

2022

Collaborators (13)

David Manners

University of Bologna

ITALY

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Gianluca Carlini

IRCCS Istituto Delle Scienze Neurologiche di Bologna

ITALY

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Massimo Giunti

Associate professor

University of Bologna

ITALY

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Gastone Castellani

University of Bologna

ITALY

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GIORGIA SIMONETTI

IRCCS Istituto Romagnolo per lo Studio dei Tumori Dino Amadori

ITALY

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Enrico Giampieri

Associated Professor

University of Bologna

ITALY

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Riccardo Biondi

Università di Bologna - Università di Bologna

ITALY

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Piera Versura

ALMA MATER STUDIORUM UNIVERSITY OF BOLOGNA

ITALY

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davide melandri

University of Bologna

ITALY

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MICHELA STARACE

Università degli Studi di Foggia Dipartimento di Scienze Mediche e Chirurgiche

ITALY

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Daniel Remondini

Associate Professor

University of Bologna

ITALY

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Laura Cercenelli

University of Bologna

ITALY

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Claudia Sala

University of Bologna

ITALY

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Nico Curti

Research Interests

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Articles (13)

Towards Precision Medicine in Sinonasal Tumors: Low-Dimensional Radiomic Signature Extraction from MRI

Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT

Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images

Emerging Signatures of Hematological Malignancies from Gene Expression and Transcription Factor-Gene Regulations

Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation

Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning

Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas

Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer

Characterization of Pupillary Light Response Features for the Classification of Patients with Optic Neuritis

SYNTHETIC DATA GENERATION AND CLASSIFICATION OF HISTOPATHOLOGICAL IMAGES

Synthetic Data Generation And Classification Of Histopathological Images

Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation

Collaborators (13)

David Manners

Gianluca Carlini

Massimo Giunti

Gastone Castellani

GIORGIA SIMONETTI

Enrico Giampieri

Riccardo Biondi

Piera Versura

davide melandri

MICHELA STARACE

Daniel Remondini

Laura Cercenelli

Claudia Sala

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