Eva Pachetti

15 papers Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
A systematic review of few-shot learning in medical imaging.
Artif. Intell. Medicine
Eva Pachetti, Sara Colantonio
2024 J jnl
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification.
CoRR
Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio
2024 — conf
Data and System Traceability for Transparent AI in Medical Imaging.
SEBD
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
2024 J jnl
Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment.
J. Imaging
Eva Pachetti, Giulio Del Corso, Serena Bardelli, Sara Colantonio
2024 — conf
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment.
Ital-IA
Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Francesco Conti, Giulio Del Corso, Danila Germanese, Davide Moroni, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio
2024 — conf
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer.
ISBI
Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno Miguel Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio
2024 — conf
Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings.
CaPTion@MICCAI
Eva Pachetti, Sara Colantonio
2023 J jnl
A Systematic Review of Few-Shot Learning in Medical Imaging.
CoRR
Eva Pachetti, Sara Colantonio
2023 — conf
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.
ICCV (Workshops)
Gianluca Carloni, Eva Pachetti, Sara Colantonio
2023 J jnl
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI.
CoRR
Gianluca Carloni, Eva Pachetti, Sara Colantonio
2023 — conf
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement.
STACOM@MICCAI
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023 J jnl
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement.
CoRR
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris
2023 — conf
Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals.
Ital-IA
Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio
2022 — conf
Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project.
BHI
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
2022 — conf
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness.
ICIAP Workshops
Eva Pachetti, Sara Colantonio, Maria Antonietta Pascali