Eva Pachetti

According to our database, Eva Pachetti authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment.

Eva Pachetti, Giulio Del Corso, Serena Bardelli, Sara Colantonio

J. Imaging, July, 2024

Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification.

Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio

CoRR, 2024

A systematic review of few-shot learning in medical imaging.

Eva Pachetti, Sara Colantonio

Artif. Intell. Medicine, 2024

Data and System Traceability for Transparent AI in Medical Imaging.

Sara Colantonio, Andrea Berti, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Varvara Kalokyri, Haridimos Kondylakis, Charalampos Kalantzopoulos, Nikolaos S. Tachos, Dimitris I. Fotiadis, Valentina Giannini, Simone Mazzetti, Daniele Regge, Nickolas Papanikolaou, Konstantinos Marias, Manolis Tsiknakis

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings.

Eva Pachetti, Sara Colantonio

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment.

Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Francesco Conti, Giulio Del Corso, Danila Germanese, Davide Moroni, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer.

Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno M. Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement.

Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals.

Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio

Proceedings of the Italia Intelligenza Artificiale, 2023

Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.

Gianluca Carloni, Eva Pachetti, Sara Colantonio

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness.

Eva Pachetti, Sara Colantonio, Maria Antonietta Pascali

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project.

Andrea Berti, Gianluca Carloni, Sara Colantonio, Maria Antonietta Pascali, Paolo Manghi, Pasquale Pagano, Rossana Buongiorno, Eva Pachetti, Claudia Caudai, Domenico Di Gangi, Emanuele Carlini, Zeno Falaschi, Esther Ciarrocchi, Emanuele Neri, Elena Bertelli, Vittorio Miele, Roberto Carpi, Giulio Bagnacci, Nunzia Di Meglio, M. Antonietta Mazzei, Andrea Barucci

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022