Giacomo Tarroni

73 papers C 1Journal 37Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration. Trans. Mach. Learn. Res. Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	—	`conf`	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. MICCAI (6) Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	J	`jnl`	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. CoRR Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	J	`jnl`	The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning. CoRR Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas
2024	—	`conf`	ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. ISBI Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024	J	`jnl`	Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. CoRR Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024	—	`conf`	DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	—	`conf`	Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	J	`jnl`	Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024	—	`conf`	Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz
2023	J	`jnl`	ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. CoRR Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	J	`jnl`	DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2023	J	`jnl`	Harder synthetic anomalies to improve OoD detection in Medical Images. CoRR Sergio Naval Marimont, Giacomo Tarroni
2023	—	`conf`	MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni
2023	J	`jnl`	MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. CoRR Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni
2023	J	`jnl`	NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. CoRR David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde
2023	—	`conf`	Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello
2023	J	`jnl`	Sample selection with noise rate estimation in noise learning of medical image analysis. CoRR Maolin Li, Giacomo Tarroni, Vasilis Siomos
2022	J	`jnl`	Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2022	—	`conf`	FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning. BrainLes@MICCAI (2) Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach
2022	—	`conf`	Implicit U-Net for Volumetric Medical Image Segmentation. MIUA Sergio Naval Marimont, Giacomo Tarroni
2022	J	`jnl`	Implicit U-Net for volumetric medical image segmentation. CoRR Sergio Naval Marimont, Giacomo Tarroni
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2021	—	`conf`	Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. ISBI Sergio Naval Marimont, Giacomo Tarroni
2021	J	`jnl`	Anti-transfer learning for task invariance in convolutional neural networks for speech processing. Neural Networks Eric Guizzo, Tillman Weyde, Giacomo Tarroni
2021	J	`jnl`	Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2021	—	`conf`	Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. MICCAI (2) Sergio Naval Marimont, Giacomo Tarroni
2021	J	`jnl`	Implicit field learning for unsupervised anomaly detection in medical images. CoRR Sergio Naval Marimont, Giacomo Tarroni
2020	J	`jnl`	Anomaly detection through latent space restoration using vector-quantized variational autoencoders. CoRR Sergio Naval Marimont, Giacomo Tarroni
2020	J	`jnl`	Blissful Ignorance: Anti-Transfer Learning for Task Invariance. CoRR Eric Guizzo, Tillman Weyde, Giacomo Tarroni
2020	—	`conf`	Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2020	—	`conf`	Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2019	—	`conf`	3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. ISBI Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019	J	`jnl`	3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders. CoRR Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019	J	`jnl`	Deep learning for cardiac image segmentation: A review. CoRR Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. CoRR Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2019	—	`conf`	Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. MICCAI (2) Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. CoRR Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2019	—	`conf`	Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI (2) Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
2019	J	`jnl`	Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. CoRR Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
2019	—	`conf`	Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. CoRR Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2018	—	`conf`	A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. MICCAI (1) Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2018	J	`jnl`	A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. CoRR Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2018	—	`conf`	Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. MICCAI (2) Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2018	J	`jnl`	Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. CoRR Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2018	J	`jnl`	Learning-Based Quality Control for Cardiac MR Images. CoRR Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2018	—	`conf`	Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. MICCAI (4) Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2018	J	`jnl`	Recurrent neural networks for aortic image sequence segmentation with sparse annotations. CoRR Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2017	J	`jnl`	Human-level CMR image analysis with deep fully convolutional networks. CoRR Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert
2017	—	`conf`	Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. FIMH Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2017	—	`conf`	Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. MICCAI (2) Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert
2016	J	`jnl`	Learning under Distributed Weak Supervision. CoRR Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert
2016	—	`conf`	Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps. CinC Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2015	—	`conf`	A Fully Automated Approach to Aortic Distensibility Quantification from Fetal Ultrasound Images. CinC Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan
2015	—	`conf`	A novel approach to aortic intima-media thickness quantification from fetal ultrasound images. ISBI Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan
2015	—	`conf`	A novel approach to motion correction for ASL images based on brain contours. Biomedical Applications in Molecular, Structural, and Functional Imaging Giacomo Tarroni, Marco Castellaro, Carlo Boffano, Maria Grazia Bruzzone, Alessandra Bertoldo, Enrico Grisan
2015	—	`conf`	A supervised learning approach for the robust detection of heart beat in plethysmographic data. EMBC Enrico Grisan, Giorgia Cantisani, Giacomo Tarroni, Seung Keun Yoon, Michele Rossi
2015	—	`conf`	Fully-automated identification and segmentation of aortic lumen from fetal ultrasound images. EMBC Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan
2015	—	`conf`	Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. EMBC Davide Boschetto, Hadis Mirzaei, Rupert W. L. Leong, Giacomo Tarroni, Enrico Grisan
2014	—	`conf`	Automated Estimation of Aortic Intima-Media Thickness from Fetal Ultrasound. CLIP@MICCAI Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan
2014	—	`conf`	Fully Automated Assessment of Left Ventricular Volumes, Function and Mass from Cardiac MRI. CinC Marco Marino, Federico Veronesi, Giacomo Tarroni, Victor Mor-Avi, Amit R. Patel, Cristiana Corsi
2014	—	`conf`	Near-Automated Quantification of Prenatal Aortic Intima-Media Thickness from Ultrasound Images. CinC Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan
2013	—	`conf`	Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets. CinC Giacomo Tarroni, Davide Marsili, Federico Veronesi, Cristiana Corsi, Amit R. Patel, Victor Mor-Avi, Claudio Lamberti
2013	C	`conf`	Near-automated 3D segmentation of left and right ventricles on magnetic resonance images. ISPA Giacomo Tarroni, Davide Marsili, Federico Veronesi, Cristiana Corsi, Claudio Lamberti, Gonzalo Sanguinetti
2012	—	`—`	Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images. Giacomo Tarroni
2012	J	`jnl`	Erratum to: Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. Medical Biol. Eng. Comput. Giacomo Tarroni, Luca Tersi, Cristiana Corsi, Rita Stagni
2012	J	`jnl`	Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. Medical Biol. Eng. Comput. Giacomo Tarroni, Luca Tersi, Cristiana Corsi, Rita Stagni