Eva Pachetti

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Manual Segmentation

Magnetic Resonance Images

Prostate Cancer

Top Venues

ICIAP Workshops

ICCV (Workshops)

Publications

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)
Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. CoRR (2024)
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)
Gianluca Carloni, Eva Pachetti, Sara Colantonio
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. CoRR (2023)
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)
Gianluca Carloni, Eva Pachetti, Sara Colantonio
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. ICCV (Workshops) (2023)
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 (2023)
Eva Pachetti, Sara Colantonio
A Systematic Review of Few-Shot Learning in Medical Imaging. CoRR (2023)
Eva Pachetti, Sara Colantonio, Maria Antonietta Pascali
On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness. ICIAP Workshops (2022)
Andrea Berti, Gianluca Carloni, Sara Colantonio, M. 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)