Giacomo Tarroni

Giacomo Tarroni

Imperial College London

H-index: 21

Europe-United Kingdom

About Giacomo Tarroni

Giacomo Tarroni, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Computer Vision, Medical Image Analysis, Segmentation, Cardiac MRI, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection

Harder synthetic anomalies to improve OoD detection in Medical Images

Sample selection with noise rate estimation in noise learning of medical image analysis

MOOD 2020: A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images

ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Quaternion Anti-Transfer Learning for Speech Emotion Recognition

Giacomo Tarroni Information

University

Position

Research Fellow

Citations(all)

2960

Citations(since 2020)

2778

Cited By

1504

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

29

i10Index(since 2020)

24

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Giacomo Tarroni Skills & Research Interests

Computer Vision

Medical Image Analysis

Segmentation

Cardiac MRI

Machine Learning

Top articles of Giacomo Tarroni

Title

Journal

Author(s)

Publication Date

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection

Proceedings/IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging

Sergio Naval Marimont

Matthew Baugh

Vasilis Siomos

Christos Tzelepis

Bernhard Kainz

...

2024/2/2

Harder synthetic anomalies to improve OoD detection in Medical Images

arXiv preprint arXiv:2308.01412

Sergio Naval Marimont

Giacomo Tarroni

2023/8/2

Sample selection with noise rate estimation in noise learning of medical image analysis

arXiv preprint arXiv:2312.15233

Maolin Li

Giacomo Tarroni

Vasilis Siomos

2023/12/23

MOOD 2020: A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images

IEEE Transactions on Medical Imaging

David Zimmerer

Peter M Full

Fabian Isensee

Paul Jäger

Tim Adler

...

2022/4/25

ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification

arXiv preprint arXiv:2311.14625

Vasilis Siomos

Sergio Naval-Marimont

Jonathan Passerat-Palmbach

Giacomo Tarroni

2023/11/24

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection

arXiv preprint arXiv:2305.13258

David Herron

Ernesto Jiménez-Ruiz

Giacomo Tarroni

Tillman Weyde

2023/5/22

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Insights into imaging

Riaan van de Venter

Emily Skelton

Jacqueline Matthew

Nick Woznitza

Giacomo Tarroni

...

2023/2/3

Quaternion Anti-Transfer Learning for Speech Emotion Recognition

Eric Guizzo

Tillman Weyde

Giacomo Tarroni

Danilo Comminiello

2023/10/22

MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images

Sergio Naval Marimont

Vasilis Siomos

Giacomo Tarroni

2023/10/8

3D Registration of Background-Suppressed ASL Data based on Brain Contours

Giacomo Tarroni

Marco Castellaro

Carlo Boffano

Maria Grazia Bruzzone

Alessandra Bertoldo

...

2022/10/21

FeTS Challenge 2022 Task 1: Implementing FedMGDA+ and a New Partitioning

Vasilis Siomos

Giacomo Tarroni

Jonathan Passerrat-Palmbach

2022/9/18

Implicit u-net for volumetric medical image segmentation

Sergio Naval Marimont

Giacomo Tarroni

2022/7/25

Enhancing MR image segmentation with realistic adversarial data augmentation

Medical Image Analysis

Chen Chen

Chen Qin

Cheng Ouyang

Zeju Li

Shuo Wang

...

2022/11/1

ORCID: 0000-0002-0341-6138 (2021). Anomaly detection through latent space restoration using vector-quantized variational autoencoders

IEEE ISBI

SN Marimont

G Tarroni

2021

Implicit field learning for unsupervised anomaly detection in medical images

Sergio Naval Marimont

Giacomo Tarroni

2021

Anti-transfer learning for task invariance in convolutional neural networks for speech processing

Neural Networks

Eric Guizzo

Tillman Weyde

Giacomo Tarroni

2021/10/1

Anomaly detection through latent space restoration using vector quantized variational autoencoders

Sergio Naval Marimont

Giacomo Tarroni

2021/4/13

ORCID: 0000-0002-0341-6138

Duan, J., Guitton, F., Petersen, SE, Guo, Y., Matthews, PM and Rueckert, D

W Bai

C Chen

G Tarroni

2019

Realistic adversarial data augmentation for MR image segmentation

Chen Chen

Chen Qin

Huaqi Qiu

Cheng Ouyang

Shuo Wang

...

2020/6/23

A population-based phenome-wide association study of cardiac and aortic structure and function

Nature medicine

Wenjia Bai

Hideaki Suzuki

Jian Huang

Catherine Francis

Shuo Wang

...

2020/10

See List of Professors in Giacomo Tarroni University(Imperial College London)

Co-Authors

H-index: 162
Paul M. Matthews

Paul M. Matthews

Imperial College London

H-index: 132
Daniel Rueckert

Daniel Rueckert

Technische Universität München

H-index: 83
Steffen E Petersen

Steffen E Petersen

Queen Mary University of London

H-index: 76
Ben Glocker

Ben Glocker

Imperial College London

H-index: 52
Wenjia Bai (柏文佳)

Wenjia Bai (柏文佳)

Imperial College London

H-index: 46
Bernhard Kainz

Bernhard Kainz

Imperial College London

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