Bibliotecas PUC-SP - Busca Integrada

Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance

Por Lara Cavinato, Matteo Pegoraro, Alessandra Ragni, Francesca Ieva
Publicado no Scientific Reports (2022-11-01)

Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data

Por Lara Cavinato, Michela Carlotta Massi, Martina Sollini, Margarita Kirienko, Francesca Ieva
Publicado no Scientific Reports (2023-11-01)

Author Correction: Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance

Por Lara Cavinato, Matteo Pegoraro, Alessandra Ragni, Martina Sollini, Paola Anna Erba, Francesca Ieva
Publicado no Scientific Reports (2022-12-01)

Radiomics-Based Inter-Lesion Relation Network to Describe [¹⁸F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer

Por Lara Cavinato, Martina Sollini, Alessandra Ragni, Francesco Bartoli, Roberta Zanca, Francesco Pasqualetti, Andrea Marciano, Francesca Ieva, Paola Anna Erba
Publicado no Cancers (2023-01-01)

Radiomic Gradient in Peritumoural Tissue of Liver Metastases: A Biomarker for Clinical Practice? Analysing Density, Entropy, and Uniformity Variations with Distance from the Tumour

Por Francesco Fiz, Elisa Maria Ragaini, Sara Sirchia, Chiara Masala, Samuele Viganò, Marco Francone, Lara Cavinato, Ettore Lanzarone, Angela Ammirabile, Luca Viganò
Publicado no Diagnostics (2024-07-01)

[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer

Por Martina Sollini, Francesco Bartoli, Lara Cavinato, Francesca Ieva, Alessandra Ragni, Andrea Marciano, Roberta Zanca, Luca Galli, Fabiola Paiar, Francesco Pasqualetti, Paola Anna Erba
Publicado no EJNMMI Research (2021-11-01)

Radiomics of Liver Metastases: A Systematic Review

Por Francesco Fiz, Luca Viganò, Nicolò Gennaro, Guido Costa, Ludovico La Bella, Alexandra Boichuk, Lara Cavinato, Martina Sollini, Letterio S. Politi, Arturo Chiti, Guido Torzilli
Publicado no Cancers (2020-10-01)

The Predictive Role of Radiomics in Breast Cancer Patients Imaged by [¹⁸F]FDG PET: Preliminary Results from a Prospective Cohort

Por Fabrizia Gelardi, Lara Cavinato, Rita De Sanctis, Gaia Ninatti, Paola Tiberio, Marcello Rodari, Alberto Zambelli, Armando Santoro, Bethania Fernandes, Arturo Chiti, Lidija Antunovic, Martina Sollini
Publicado no Diagnostics (2024-10-01)

Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases

Por Guido Costa, Lara Cavinato, Chiara Masci, Francesco Fiz, Martina Sollini, Letterio Salvatore Politi, Arturo Chiti, Luca Balzarini, Alessio Aghemo, Luca di Tommaso, Francesca Ieva, Guido Torzilli, Luca Viganò
Publicado no Cancers (2021-06-01)

Methodological framework for radiomics applications in Hodgkin’s lymphoma

Por Martina Sollini, Margarita Kirienko, Lara Cavinato, Francesca Ricci, Matteo Biroli, Francesca Ieva, Letizia Calderoni, Elena Tabacchi, Cristina Nanni, Pier Luigi Zinzani, Stefano Fanti, Anna Guidetti, Alessandra Alessi, Paolo Corradini, Ettore Seregni, Carmelo Carlo-Stella, Arturo Chiti
Publicado no European Journal of Hybrid Imaging (2020-06-01)

Improved interpretation of 18F-florzolotau PET in progressive supranuclear palsy using a normalization-free deep-learning classifier

Por Jiaying Lu, Christoph Clement, Jimin Hong, Min Wang, Xinyi Li, Lara Cavinato, Tzu-Chen Yen, Fangyang Jiao, Ping Wu, Jianjun Wu, Jingjie Ge, Yimin Sun, Matthias Brendel, Leonor Lopes, Axel Rominger, Jian Wang, Fengtao Liu, Chuantao Zuo, Yihui Guan, Qianhua Zhao, Kuangyu Shi
Publicado no iScience (2023-08-01)