Eva Pachetti

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" — Italy

Medicine · Health Sciences

6h-index200citations20works9.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(9), AI in cancer detection(7), Domain Adaptation and Few-Shot Learning(6), Prostate Cancer Diagnosis and Treatment(5), Prostate Cancer Treatment and Research(3)

Publications20 total

Remind Me of Something? Zero-Shot Learning for Trustworthy Image Comparison in Rolling Stock
Lecture notes in computer science·2026Open Access
Leveraging AI for Signal and Image Analysis in Medicine and Health
CINECA IRIS Institutial research information system (University of Pisa)·2025Open Access
AI Models in Cancer Diagnosis and Prognosis
2025
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
Insights into Imaging·2024· 24 citedOpen Access
Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings
Lecture notes in computer science·2024Open Access
A systematic review of few-shot learning in medical imaging
Artificial Intelligence in Medicine·2024· 69 citedOpen Access
Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment
Journal of Imaging·2024· 3 citedOpen Access
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer
2024· 2 cited
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
arXiv (Cornell University)·2024Open Access
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement
Lecture notes in computer science·2024· 1 citedOpen Access
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency<sup>*</sup>
2023· 2 citedOpen Access
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
2023· 9 citedOpen Access
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
arXiv (Cornell University)·2023Open Access
A Systematic Review of Few-Shot Learning in Medical Imaging
arXiv (Cornell University)·2023· 6 citedOpen Access
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
arXiv (Cornell University)·2023Open Access
3D-Vision-Transformer Stacking Ensemble for Assessing Prostate Cancer Aggressiveness from T2w Images
Bioengineering·2023· 10 citedOpen Access
Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)·2022· 1 citedOpen Access
Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI
Frontiers in Oncology·2022· 63 citedOpen Access
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness
Lecture notes in computer science·2022· 10 citedOpen Access
SI-Lab Annual Research Report 2021
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access

Frequent Co-authors

Sara Colantonio(16), Maria Antonietta Pascali(7), Giulio Del Corso(7), Gianluca Carloni(7), Danila Germanese(5), Daniele Regge(4), Manolis Tsiknakis(4), Kostas Marias(4), Andrea Berti(4), Rossana Buongiorno(4), Charalampos Kalantzopoulos(3), Nikolaos S. Tachos(3), José Guilherme de Almeida(3), Ana Carolina Rodrigues(3), Nuno M. Rodrigues(3), Nickolas Papanikolaou(3), Sotirios A. Tsaftaris(3), Claudia Caudai(3), Elena Bertelli(2), Andrea Barucci(2)