Lisa Anita De Santi

University of Pisa — Italy

Medicine · Health Sciences

3h-index77citations18works1.62yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiomics and Machine Learning in Medical Imaging(8), Machine Learning in Healthcare(5), Explainable Artificial Intelligence (XAI)(4), Medical Imaging Techniques and Applications(3), Brain Tumor Detection and Classification(3)

Publications18 total

Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach
BioMedInformatics·2025Open Access
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
Lecture notes in computer science·2025· 2 cited
Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients
European Radiology·2024· 2 cited
Part-Prototype Models in Medical Imaging: Applications and Current Challenges
BioMedInformatics·2024· 3 citedOpen Access
Automated Neural Architecture Search for Cardiac Amyloidosis Classification from [18F]-Florbetaben PET Images
Journal of Imaging Informatics in Medicine·2024· 2 citedOpen Access
Part-Prototypes Models in Medical Imaging: Applications and Current Challenges
Preprints.org·2024Open Access
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
arXiv (Cornell University)·2024· 2 citedOpen Access
Bayesian XAI Methods Towards a Robustness-Centric Approach to Deep Learning: An ABIDE I Study
2024· 2 cited
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
arXiv (Cornell University)·2024· 3 citedOpen Access
Explainable CNN-Based Cardiac Amyloidosis Classification from PET Images Through Manifold Learning
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany·2024
Review of: "An Improved Hybrid Transfer Learning-Based Deep Learning Model for Alzheimer’s Disease Detection Using CT and MRI Scans"
2023· 1 citedOpen Access
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Journal of Digital Imaging·2023· 18 citedOpen Access
Review of: "Deep Learning Modeling for Prediction of Cognitive Task Related Features from Resting-state fMRI Data"
2023Open Access
Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer
Sensors·2023· 2 citedOpen Access
Evaluating Explanations of an Alzheimer’s Disease 18F-FDG Brain PET Black-Box Classifier
Communications in computer and information science·2023
An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET
Journal of Digital Imaging·2022· 36 citedOpen Access
Regional Characterization of the Gottingen Minipig Brain by [18 F]FDG Dynamic Pet Modeling
Journal of Medical and Biological Engineering·2022· 1 citedOpen Access
Convolution Neural Networks for the Automatic Segmentation of 18F-FDG PET Brain as an Aid to Alzheimer’s Disease Diagnosis
Electronics·2022· 3 citedOpen Access

Frequent Co-authors

Vincenzo Positano(15), Maria Filomena Santarelli(13), Filippo Bargagna(7), Dario Genovesi(6), Assuero Giorgetti(5), Elena Pasini(3), Giuseppe Vergaro(3), Jörg Schlötterer(3), Meike Nauta(3), Christin Seifert(3), Antonella Meloni(3), Laura Pistoia(3), Brunella Favilli(2), Michael Scheschenja(2), Joel Wessendorf(2), Franco Italo Piparo(2), Simona Celi(2), Filippo Cademartiri(2), Michele Emdin(2), Nicola Martini(1)