Giacomo Tarroni

St George's, University of London — United Kingdom

Computer Science · Physical Sciences

21h-index2.7kcitations107works2.52yr avg
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Research Topics

Medical Image Segmentation Techniques(25), Advanced MRI Techniques and Applications(23), Radiomics and Machine Learning in Medical Imaging(21), Cardiac Imaging and Diagnostics(20), Advanced Neural Network Applications(14)

Publications107 total

A Multi-Task Deep Neural Network for Segmentation and Landmark Detection in Cardiac Computerized Tomography
Computing in cardiology·2025
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods
The Journal of Machine Learning for Biomedical Imaging·2025· 2 citedOpen Access
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
Lecture notes in computer science·2025
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Nature Communications·2025· 3 citedOpen Access
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
arXiv (Cornell University)·2025Open Access
Image-Conditioned Diffusion Models for Medical Anomaly Detection
Lecture notes in computer science·2024· 7 citedOpen Access
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
arXiv (Cornell University)·2024Open Access
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
2024Open Access
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection
2024· 8 cited
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Lecture notes in computer science·2024· 4 citedOpen Access
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Lecture notes in computer science·2024· 6 citedOpen Access
Sample selection with noise rate estimation in noise learning of medical image analysis
arXiv (Cornell University)·2023Open Access
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
arXiv (Cornell University)·2023Open Access
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
arXiv (Cornell University)·2023Open Access
Quaternion Anti-Transfer Learning for Speech Emotion Recognition
2023· 1 cited
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies
arXiv (Cornell University)·2023· 3 citedOpen Access
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
arXiv (Cornell University)·2023Open Access
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
arXiv (Cornell University)·2023· 1 citedOpen Access
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
2023Open Access
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Frequent Co-authors

Daniel Rueckert(23), Wenjia Bai(21), Ozan Oktay(13), Sergio Naval Marimont(10), Hideaki Suzuki(9), Paul M. Matthews(9), Bernhard Kainz(8), Ben Glocker(8), Declan P. O’Regan(8), Chen Chen(8), Steffen E. Petersen(7), Antonio de Marvao(7), Stuart A. Cook(7), Martin Rajchl(6), Cristiana Corsi(6), Enrico Grisan(6), Matthew Sinclair(5), Chen Qin(5), Huaqi Qiu(5), Victor Mor‐Avi(5)