Florian Dubost
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECCV | PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. | Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein |
| 2024 | SiggraphA | Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. | Colton Stearns, Adam W. Harley, Mikaela Angelina Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas |
| 2023 | WACV | Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. | Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin |
| 2023 | WACV | ATCON: Attention Consistency for Vision Models. | Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin |
| 2022 | ICLR | Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. | Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer |
| 2019 | MICCAI | Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. | Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne |
| 2019 | MICCAI | Hydranet: Data Augmentation for Regression Neural Networks. | Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne |
| 2019 | MICCAI | Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. | Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Wiro J. Niessen, Marleen de Bruijne |
| 2019 | MICCAI | Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. | Florian Dubost, Max Dnnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike W. Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber, Steffen Oeltze-Jafra, Marleen de Bruijne |
| 2019 | MICCAI | Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. | Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland |
| 2019 | MICCAI | Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network. | Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, Mohammad Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne |
| 2019 | MICCAI | APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. | Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot |
| 2018 | MICCAI | Deep Learning from Label Proportions for Emphysema Quantification. | Gerda Bortsova, Florian Dubost, Silas N. rting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne |
| 2017 | MICCAI | Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. | Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne |
| 2017 | MICCAI | GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. | Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne |
| 2016 | MICCAI | Hands-Free Segmentation of Medical Volumes via Binary Inputs. | Florian Dubost, Loc Peter, Christian Rupprecht, Benjamn Gutirrez-Becker, Nassir Navab |