Petru-Daniel Tudosiu

44 papers A* 3Journal 26Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Practical Investigation of Spatially-Controlled Image Generation with Transformers. CoRR Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot
2025	J	`jnl`	A Practical Investigation of Spatially-Controlled Image Generation with Transformers. Trans. Mach. Learn. Res. Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot
2025	J	`jnl`	Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities. CoRR Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot
2024	J	`jnl`	Generating Compositional Scenes via Text-to-image RGBA Instance Generation. CoRR Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024	A*	`conf`	Generating compositional scenes via Text-to-image RGBA Instance Generation. NeurIPS Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024	J	`jnl`	Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso
2024	A*	`conf`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CVPR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	J	`jnl`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CoRR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	J	`jnl`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. Petru-Daniel Tudosiu, Walter H. L. Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon, Ashay Patel, Pedro Borges, Virginia Fernandez, Mark S. Graham, Robert J. Gray, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	—	`conf`	Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Denoising diffusion models for out-of-distribution detection. CVPR Workshops Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Geometry-Invariant Abnormality Detection. MICCAI (1) Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. IEEE Trans. Medical Imaging Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Z. J. Williams, Helena S. Sousa, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson
2023	—	`conf`	InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. MICCAI (10) Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu
2023	J	`jnl`	InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. CoRR Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu
2023	J	`jnl`	Latent Transformer Models for out-of-distribution detection. Medical Image Anal. Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Optimisation-Based Multi-Modal Semantic Image Editing. CoRR Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
2023	—	`conf`	Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Brain Imaging Generation with Latent Diffusion Models. CoRR Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	J	`jnl`	Can segmentation models be trained with fully synthetically generated data? CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	—	`conf`	Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Denoising Diffusion Models for Out-of-Distribution Detection. CoRR Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, Jorge Cardoso
2022	—	`conf`	Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. CoRR Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Z. J. Williams, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson
2021	—	`conf`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
2020	J	`jnl`	Hierarchical brain parcellation with uncertainty. CoRR Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	A*	`conf`	ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping. NeurIPS Cher Bass, Mariana da Silva, Carole H. Sudre, Petru-Daniel Tudosiu, Stephen M. Smith, Emma C. Robinson
2020	J	`jnl`	ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping. CoRR Cher Bass, Mariana da Silva, Carole H. Sudre, Petru-Daniel Tudosiu, Stephen M. Smith, Emma C. Robinson
2020	J	`jnl`	Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso