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ORCIDEva Pachetti
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2020 – today
- 2024
[j2]Eva Pachetti
, Sara Colantonio:
A systematic review of few-shot learning in medical imaging. Artif. Intell. Medicine 156: 102949 (2024)- [j1]Eva Pachetti, Giulio Del Corso, Serena Bardelli, Sara Colantonio:
Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment. J. Imaging 10(7): 167 (2024) - [c9]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:
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. ISBI 2024: 1-4 - [c8]Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Francesco Conti, Giulio Del Corso, Danila Germanese, Davide Moroni, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio:
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment. Ital-IA 2024: 372-377 - [c7]Eva Pachetti, Sara Colantonio:
Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings. CaPTion@MICCAI 2024: 48-58 - [c6]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:
Data and System Traceability for Transparent AI in Medical Imaging. SEBD 2024: 615-623 - [i4]Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio:
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. CoRR abs/2403.17530 (2024) - 2023
- [c5]Gianluca Carloni, Eva Pachetti, Sara Colantonio:
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. ICCV (Workshops) 2023: 2608-2616 - [c4]Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Sara Colantonio:
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 2023: 146-153 - [c3]Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris:
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. STACOM@MICCAI 2023: 421-432 - [i3]Gianluca Carloni, Eva Pachetti, Sara Colantonio:
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. CoRR abs/2309.10725 (2023) - [i2]Eva Pachetti, Sara Colantonio:
A Systematic Review of Few-Shot Learning in Medical Imaging. CoRR abs/2309.11433 (2023) - [i1]Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris:
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. CoRR abs/2309.13385 (2023) - 2022
- [c2]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:
Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project. BHI 2022: 1-4 - [c1]Eva Pachetti, Sara Colantonio, Maria Antonietta Pascali:
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness. ICIAP Workshops 2022: 317-328
Coauthor Index
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