Florian Dubost

64 papers A* 2A 2B 1Journal 45Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. Neurocomputing Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck
2025	J	`jnl`	Restereo: Diffusion stereo video generation and restoration. CoRR Xingchang Huang, Ashish Kumar Singh, Florian Dubost, Cristina Nader Vasconcelos, Sakar Khattar, Liang Shi, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh
2024	A*	`conf`	Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. SIGGRAPH Asia Colton Stearns, Adam W. Harley, Mikaela Angelina Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas
2024	J	`jnl`	Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. CoRR Colton Stearns, Adam W. Harley, Mikaela Angelina Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas
2024	J	`jnl`	Exploring Adversarial Attacks in Federated Learning for Medical Imaging. IEEE Trans. Ind. Informatics Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2024	—	`conf`	PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. ECCV (37) Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein
2024	J	`jnl`	PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. CoRR Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein
2024	J	`jnl`	SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger
2023	A	`conf`	ATCON: Attention Consistency for Vision Models. WACV Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin
2023	J	`jnl`	Exploring adversarial attacks in federated learning for medical imaging. CoRR Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023	A	`conf`	Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. WACV Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
2023	J	`jnl`	The Hidden Adversarial Vulnerabilities of Medical Federated Learning. CoRR Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2022	J	`jnl`	ATCON: Attention Consistency for Vision Models. CoRR Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin
2022	J	`jnl`	An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. Medical Image Anal. Shuai Chen, Zahra Sedghi Gamechi, Florian Dubost, Gijs van Tulder, Marleen de Bruijne
2022	J	`jnl`	DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2022	A*	`conf`	Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
2022	J	`jnl`	Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. CoRR Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
2021	J	`jnl`	Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. CoRR Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2021	J	`jnl`	Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne
2021	J	`jnl`	Automated Detection of Patients in Hospital Video Recordings. CoRR Siddharth Sharma, Florian Dubost, Christopher Lee-Messer, Daniel L. Rubin
2021	J	`jnl`	Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
2021	J	`jnl`	Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. CoRR Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
2021	J	`jnl`	Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li
2020	J	`jnl`	Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta
2020	J	`jnl`	DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2020	J	`jnl`	Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
2020	J	`jnl`	Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer
2020	—	`conf`	Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. ISBI Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
2020	J	`jnl`	Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. CoRR Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
2020	J	`jnl`	Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2020	J	`jnl`	When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. CoRR Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne
2019	J	`jnl`	3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Medical Image Anal. Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. MLMIR@MICCAI Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot
2019	J	`jnl`	APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network. CoRR Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot
2019	—	`conf`	Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CSI@MICCAI Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro J. Niessen, Marleen de Bruijne
2019	J	`jnl`	Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CoRR Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne
2019	J	`jnl`	Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer
2019	—	`conf`	Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. MICCAI (4) Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne
2019	J	`jnl`	Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. CoRR Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. OR/MLCN@MICCAI Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike W. Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber, Steffen Oeltze-Jafra, Marleen de Bruijne
2019	J	`jnl`	Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage Florian Dubost, Pinar Yilmaz, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. IPMI Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	J	`jnl`	Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. CoRR Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
2019	—	`conf`	Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2019	—	`conf`	Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2019	J	`jnl`	Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
2019	J	`jnl`	Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2019	—	`conf`	Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
2019	J	`jnl`	Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	J	`jnl`	3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. CoRR Florian Dubost, Hieab Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	—	`conf`	Deep Learning from Label Proportions for Emphysema Quantification. MICCAI (2) Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Deep Learning from Label Proportions for Emphysema Quantification. CoRR Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
2018	J	`jnl`	Hydranet: Data Augmentation for Regression Neural Networks. CoRR Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2018	J	`jnl`	Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks. CoRR Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
2018	B	`conf`	Quantification of lung abnormalities in cystic fibrosis using deep networks. Image Processing Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne
2017	—	`conf`	GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. MICCAI (3) Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2017	J	`jnl`	GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. CoRR Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
2017	—	`conf`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2017	J	`jnl`	Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
2016	—	`conf`	Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
2016	J	`jnl`	Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab