Hands-Free Segmentation of Medical Volumes via Binary Inputs. - Florian Dubost; Loïc Peter; Christian Rupprecht 001; Benjamín Gutiérrez-Becker; Nassir Navab (LABELS/DLMIA@MICCAI, 2016)

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 (MICCAI (3), 2017)

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 (MICCAI (3), 2017)

Deep Learning from Label Proportions for Emphysema Quantification. - Gerda Bortsova; Florian Dubost; Silas N. Ørting; Ioannis Katramados; Laurens Hogeweg; Laura H. Thomsen; Mathilde M. W. Wille; Marleen de Bruijne (MICCAI (2), 2018)

Quantification of lung abnormalities in cystic fibrosis using deep networks. - Filipe Marques; Florian Dubost; Mariette Kemner-van de Corput; Harm A. W. M. Tiddens; Marleen de Bruijne (Medical Imaging: Image Processing, 2018)

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. - Vikram Venkatraghavan; Florian Dubost; Esther E. Bron; Wiro J. Niessen; Marleen de Bruijne; Stefan Klein 001 (IPMI, 2019)

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. - Gerda Bortsova; Florian Dubost; Laurens Hogeweg; Ioannis Katramados; Marleen de Bruijne (MICCAI (6), 2019)

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 (MICCAI (4), 2019)

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 (CSI@MICCAI, 2019)

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites. - 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 (OR/MLCN@MICCAI, 2019)

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 (MICCAI (4), 2019)

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 (MICCAI (4), 2019)

APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network. - Chaoping Zhang; Florian Dubost; Marleen de Bruijne; Stefan Klein 001; Dirk H. J. Poot (MLMIR@MICCAI, 2019)

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. - 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; et al. (CoRR, 2019)

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; Gerda Bortsova; Wiro J. Niessen; Marleen de Bruijne (CoRR, 2019)

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. - Florian Dubost; Hieab Adams; Gerda Bortsova; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (Medical Image Anal., 2019)

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. - Florian Dubost; Pinar Yilmaz; Hieab Adams; Gerda Bortsova; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (NeuroImage, 2019)

Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. - Subhradeep Kayal; Florian Dubost; Harm A. W. M. Tiddens; Marleen de Bruijne (ISBI, 2020)

When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. - Oliver Werner; Kimberlin M. H. van Wijnen; Wiro J. Niessen; Marius de Groot; Meike W. Vernooij; Florian Dubost; Marleen de Bruijne (CoRR, 2020)

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (CoRR, 2020)

Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. - Florian Dubost; Erin Hong; Daniel Y. Fu; Nandita Bhaskhar; Siyi Tang; Khaled Saab 002; Daniel L. Rubin; Jared Dunnmon; Christopher Lee-Messer (CoRR, 2020)

Weakly supervised object detection with 2D and 3D regression neural networks. - Florian Dubost; Hieab Adams; Pinar Yilmaz; Gerda Bortsova; Gijs van Tulder; Mohammad Arfan Ikram; Wiro J. Niessen; Meike W. Vernooij; Marleen de Bruijne (Medical Image Anal., 2020)

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. - 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; et al. (Medical Image Anal., 2020)

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. - Gerda Bortsova; Florian Dubost; Laurens Hogeweg; Ioannis Katramados; Marleen de Bruijne (CoRR, 2021)

Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. - Siyi Tang; Jared A. Dunnmon; Khaled Saab 002; Xuan Zhang; Qianying Huang; Florian Dubost; Daniel L. Rubin; Christopher Lee-Messer (CoRR, 2021)

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. - Florian Dubost; Khaled Kamal Saab; Erin Hong; Daniel Yang Fu; Max Pike; Siddharth Sharma; Siyi Tang; Nandita Bhaskhar; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2021)

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. - Gerda Bortsova; Daniel Bos; Florian Dubost; Meike W. Vernooij; M. Kamran Ikram; Gijs van Tulder; Marleen de Bruijne (CoRR, 2021)

Automated Detection of Patients in Hospital Video Recordings. - Siddharth Sharma; Florian Dubost; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2021)

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. - 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 (Medical Image Anal., 2021)

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. - 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; et al. (Medical Image Anal., 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

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 (ICLR, 2022)

Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. - Soumick Chatterjee; Hadya Yassin; Florian Dubost; Andreas Nürnberger; Oliver Speck (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - 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; et al. (CoRR, 2022)

DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. - Soumick Chatterjee; Kartik Prabhu; Mahantesh Pattadkal; Gerda Bortsova; Chompunuch Sarasaen; Florian Dubost; Hendrik Mattern; Marleen de Bruijne; Oliver Speck; Andreas Nürnberger (J. Imaging, 2022)

An end-to-end approach to segmentation in medical images with CNN and posterior-CRF. - Shuai Chen; Zahra Sedghi Gamechi; Florian Dubost; Gijs van Tulder; Marleen de Bruijne (Medical Image Anal., 2022)

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 (WACV, 2023)

ATCON: Attention Consistency for Vision Models. - Ali Mirzazadeh; Florian Dubost; Maxwell Pike; Krish Maniar; Max Zuo; Christopher Lee-Messer; Daniel L. Rubin (WACV, 2023)

Exploring adversarial attacks in federated learning for medical imaging. - Erfan Darzi; Florian Dubost; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

The Hidden Adversarial Vulnerabilities of Medical Federated Learning. - Erfan Darzi; Florian Dubost; Nanna Maria Sijtsema; Peter M. A. van Ooijen (CoRR, 2023)

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. - Yang Zheng; Qingqing Zhao; Guandao Yang; Wang Yifan 011; Donglai Xiang; Florian Dubost; Dmitry Lagun; Thabo Beeler; Federico Tombari; Leonidas J. Guibas; Gordon Wetzstein (CoRR, 2024)

Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. - Colton Stearns; Adam W. Harley; Mikaela Uy; Florian Dubost; Federico Tombari; Gordon Wetzstein; Leonidas J. Guibas (CoRR, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - 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; et al. (Medical Image Anal., 2024)