Robot Visual Navigation in Semi-structured Outdoor Environments. - Diana Mateus; Juan Gabriel Aviña-Cervantes; Michel Devy (ICRA, 2005)

Multi-Camera Scene Flow by Tracking 3-D Points and Surfels. - Frederic Devernay; Diana Mateus; Matthieu Guilbert (CVPR (2), 2006)

Robust Spectral 3D-Bodypart Segmentation Along Time. - Fabio Cuzzolin; Diana Mateus; Edmond Boyer; Radu Horaud (Workshop on Human Motion, 2007)

Articulated Shape Matching by Robust Alignment of Embedded Representations. - Diana Mateus; Fabio Cuzzolin; Radu Horaud; Edmond Boyer (ICCV, 2007)

Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment. - Diana Mateus; Fabio Cuzzolin; Radu Horaud; Edmond Boyer (ICCV, 2007)

Coherent Laplacian 3-D protrusion segmentation. - Fabio Cuzzolin; Diana Mateus; David Knossow; Edmond Boyer; Radu Horaud (CVPR, 2008)

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration. - Diana Mateus; Radu Horaud; David Knossow; Fabio Cuzzolin; Edmond Boyer (CVPR, 2008)

Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data. - Loren Arthur Schwarz; Diana Mateus; Nassir Navab (3DPH, 2009)

Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors. - David Knossow; Avinash Sharma 001; Diana Mateus; Radu Horaud (GbRPR, 2009)

Workflow monitoring based on 3D motion features. - Nicolas Padoy; Diana Mateus; Daniel Weinland; Marie-Odile Berger; Nassir Navab (ICCV Workshops, 2009)

Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy. - Selen Atasoy; Ben Glocker; Stamatia Giannarou; Diana Mateus; Alexander Meining; Guang-Zhong Yang; Nassir Navab (MICCAI (1), 2009)

Méthodes Spectrales pour la Modélisation d'Objets Articulés à Partir de Vidéos Multiples. (Spectral Tools for Unsupervised Modeling of Articulated Objects from Multiple-view Videos). - Diana Mateus (2009)

SHREC'10 Track: Correspondence Finding. - Alexander M. Bronstein; Michael M. Bronstein; Umberto Castellani; Anastasia Dubrovina; Leonidas J. Guibas; Radu Horaud; Ron Kimmel; David Knossow; Etienne von Lavante; Diana Mateus; Maks Ovsjanikov; Avinash Sharma 001 (3DOR@Eurographics, 2010)

Wave Interference for Pattern Description. - Selen Atasoy; Diana Mateus; Andreas Georgiou; Nassir Navab; Guang-Zhong Yang (ACCV (2), 2010)

Multiple-Activity Human Body Tracking in Unconstrained Environments. - Loren Arthur Schwarz; Diana Mateus; Nassir Navab (AMDO, 2010)

Manifold Learning for ToF-based Human Body Tracking and Activity Recognition. - Loren Arthur Schwarz; Diana Mateus; Victor Castañeda; Nassir Navab (BMVC, 2010)

ImageCLEF 2010 Working Notes on the Modality Classification Subtask. - Olivier Pauly; Diana Mateus; Nassir Navab (CLEF (Notebook Papers/LABs/Workshops), 2010)

Manifold learning for patient position detection in MRI. - Christian Wachinger; Diana Mateus; Andreas Keil; Nassir Navab (ISBI, 2010)

Endoscopic Video Manifolds. - Selen Atasoy; Diana Mateus; Joé Lallemand; Alexander Meining; Guang-Zhong Yang; Nassir Navab (MICCAI (2), 2010)

Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow. - Loren Arthur Schwarz; Artashes Mkhitaryan; Diana Mateus; Nassir Navab (FG, 2011)

Stereo time-of-flight. - Victor Castañeda; Diana Mateus; Nassir Navab (ICCV, 2011)

STARS: A new ensemble partitioning approach. - Olivier Pauly; Diana Mateus; Nassir Navab (ICCV Workshops, 2011)

Manifold learning for dimensionality reduction and clustering of skin spectroscopy data. - Asad Safi; Victor Castañeda; Tobias Lasser; Diana Mateus; Nassir Navab (Computer-Aided Diagnosis, 2011)

Targeted Optical Biopsies for Surveillance Endoscopies. - Selen Atasoy; Diana Mateus; Alexander Meining; Guang-Zhong Yang; Nassir Navab (MICCAI (3), 2011)

Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. - Olivier Pauly; Ben Glocker; Antonio Criminisi; Diana Mateus; Axel Martinez-Möller; Stephan G. Nekolla; Nassir Navab (MICCAI (3), 2011)

Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition. - Olivier Pauly; Diana Mateus; Nassir Navab (MCBR-CDS, 2011)

Computer-Aided Diagnosis of Pigmented Skin Dermoscopic Images. - Asad Safi; Maximilian Baust; Olivier Pauly; Victor Castañeda; Tobias Lasser; Diana Mateus; Nassir Navab; Rüdiger Hein; Mahzad Ziai (MCBR-CDS, 2011)

SLAM combining ToF and high-resolution cameras. - Victor Castañeda; Diana Mateus; Nassir Navab (WACV, 2011)

Tracking planes with Time of Flight cameras and J-linkage. - Loren Arthur Schwarz; Diana Mateus; Joé Lallemand; Nassir Navab (WACV, 2011)

Detection and identification of macromolecular complexes in cryo-electron tomograms using support vector machines. - Yuxiang Chen; Thomas Hrabe; Stefan Pfeffer; Olivier Pauly; Diana Mateus; Nassir Navab; Friedrich Förster (ISBI, 2012)

Human skeleton tracking from depth data using geodesic distances and optical flow. - Loren Arthur Schwarz; Artashes Mkhitaryan; Diana Mateus; Nassir Navab (Image Vis. Comput., 2012)

Recognizing multiple human activities and tracking full-body pose in unconstrained environments. - Loren Arthur Schwarz; Diana Mateus; Nassir Navab (Pattern Recognit., 2012)

Endoscopic Video Manifolds for Targeted Optical Biopsy. - Selen Atasoy; Diana Mateus; Alexander Meining; Guang-Zhong Yang; Nassir Navab (IEEE Trans. Medical Imaging, 2012)

A sparse approach to build shape models with routine clinical data. - Benjamín Gutiérrez; Diana Mateus; Ehab Shiban; Bernhard Meyer; Jens Lehmberg; Nassir Navab (ISBI, 2014)

Ultrasound interactive segmentation with tensor-graph methods. - Nicola Rieke; Christoph Hennersperger; Diana Mateus; Nassir Navab (ISBI, 2014)

A Quadratic Energy Minimization Framework for Signal Loss Estimation from Arbitrarily Sampled Ultrasound Data. - Christoph Hennersperger; Diana Mateus; Maximilian Baust; Nassir Navab (MICCAI (2), 2014)

Leveraging Random Forests for Interactive Exploration of Large Histological Images. - Loïc Peter; Diana Mateus; Pierre Chatelain; Noemi Schworm; Stefan Stangl; Gabriele Multhoff; Nassir Navab (MICCAI (1), 2014)

Stereo Time-of-Flight with Constructive Interference. - Victor Castañeda; Diana Mateus; Nassir Navab (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Computational Sonography. - Christoph Hennersperger; Maximilian Baust; Diana Mateus; Nassir Navab (MICCAI (2), 2015)

Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. - Loïc Peter; Olivier Pauly; Pierre Chatelain; Diana Mateus; Nassir Navab (MICCAI (1), 2015)

Automatic Guide-Wire Detection for Neurointerventions Using Low-Rank Sparse Matrix Decomposition and Denoising. - Markus Zweng; Pascal Fallavollita; Stefanie Demirci; Markus Kowarschik; Nassir Navab; Diana Mateus (AE-CAI, 2015)

Online tracking of interventional devices for endovascular aortic repair. - Daniele Volpi; Mhd Hasan Sarhan; Reza Ghotbi; Nassir Navab; Diana Mateus; Stefanie Demirci (Int. J. Comput. Assist. Radiol. Surg., 2015)

Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. - Fabio Cuzzolin; Diana Mateus; Radu Horaud (Int. J. Comput. Vis., 2015)

Learning Optimization Updates for Multimodal Registration. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (MICCAI (3), 2016)

A Deep Metric for Multimodal Registration. - Martin Simonovsky; Benjamín Gutiérrez-Becker; Diana Mateus; Nassir Navab; Nikos Komodakis (MICCAI (3), 2016)

Computer assisted optical biopsy for colorectal polyps. - Fernando J. Navarro-Avila; Yadira Saint-Hill-Febles; Janis Renner; Peter Klare; Stefan von Delius; Nassir Navab; Diana Mateus (Computer-Aided Diagnosis, 2017)

Automatic Classification of Proximal Femur Fractures Based on Attention Models. - Anees Kazi; Shadi Albarqouni; Amelia Jiménez-Sánchez; Sonja Kirchhoff; Peter Biberthaler; Nassir Navab; Diana Mateus (MLMI@MICCAI, 2017)

Guiding multimodal registration with learned optimization updates. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (Medical Image Anal., 2017)

Assisting the examination of large histopathological slides with adaptive forests. - Loïc Peter; Diana Mateus; Pierre Chatelain; Denis Declara; Noemi Schworm; Stefan Stangl; Gabriele Multhoff; Nassir Navab (Medical Image Anal., 2017)

Human Pose Estimation from Pressure Sensor Data. - Leslie Casas; Chris Mürwald; Felix Achilles; Diana Mateus; Dietrich Huber; Nassir Navab; Stefanie Demirci (Bildverarbeitung für die Medizin, 2018)

Capsule Networks Against Medical Imaging Data Challenges. - Amelia Jiménez-Sánchez; Shadi Albarqouni; Diana Mateus (CVII-STENT/LABELS@MICCAI, 2018)

Weakly-Supervised Localization and Classification of Proximal Femur Fractures. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Sonja Kirchhoff; Alexandra Sträter; Peter Biberthaler; Diana Mateus; Nassir Navab (CoRR, 2018)

Redefining Ultrasound Compounding: Computational Sonography. - Rüdiger Göbl; Diana Mateus; Christoph Hennersperger; Maximilian Baust; Nassir Navab (CoRR, 2018)

Breast Density Quantification Using Weakly Annotated Dataset. - Mickael Tardy; Bruno Scheffer; Diana Mateus (ISBI, 2019)

Medical-based Deep Curriculum Learning for Improved Fracture Classification. - Amelia Jiménez-Sánchez; Diana Mateus; Sonja Kirchhoff; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Miguel Ángel González Ballester; Gemma Piella (MICCAI (6), 2019)

Uncertainty Measurements for the Reliable Classification of Mammograms. - Mickael Tardy; Bruno Scheffer; Diana Mateus (MICCAI (6), 2019)

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Diana Mateus; Sonja Kirchhoff (CoRR, 2019)

Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*. - Constance Fourcade; Ludovic Ferrer; Gianmarco Santini; Noémie Moreau; Caroline Rousseau; Marie Lacombe; Camille Guillerminet; Mathilde Colombié; Mario Campone; Diana Mateus; Mathieu Rubeaux (EMBC, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Spatio-Temporal Consistency and Negative Label Transfer for 3D Freehand US Segmentation. - Vanessa Gonzalez Duque; Dawood Al Chanti; Marion Crouzier; Antoine Nordez; Lilian Lacourpaille; Diana Mateus (MICCAI (1), 2020)

Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg Challenge. - Constance Fourcade; Mathieu Rubeaux; Diana Mateus (MICCAI (Challenges), 2020)

Learned Deep Radiomics for Survival Analysis with Attention. - Ludivine Morvan; Cristina Nanni; Anne-Victoire Michaud; Bastien Jamet; Clément Bailly; Caroline Bodet-Milin; Stephane Chauvie; Cyrille Touzeau; Philippe Moreau; Elena Zamagni; Françoise Kraeber-Bodéré; Thomas Carlier; et al. (PRIME@MICCAI, 2020)

Precise proximal femur fracture classification for interactive training and surgical planning. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Sonja Kirchhoff; Diana Mateus (Int. J. Comput. Assist. Radiol. Surg., 2020)

Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis. - Ludivine Morvan; Thomas Carlier; Bastien Jamet; Clément Bailly; Caroline Bodet-Milin; Philippe Moreau; Françoise Kraeber-Bodéré; Diana Mateus (Int. J. Comput. Assist. Radiol. Surg., 2020)

Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty. - Amelia Jiménez-Sánchez; Diana Mateus; Sonja Kirchhoff; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Miguel Ángel González Ballester; Gemma Piella (CoRR, 2020)

IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscles Segmentation and Propagation in 3-D Freehand Ultrasound. - Dawood Al Chanti; Vanessa Gonzalez Duque; Marion Crouzier; Antoine Nordez; Lilian Lacourpaille; Diana Mateus (CoRR, 2020)

Lightweight U-Net for High-Resolution Breast Imaging. - Mickael Tardy; Diana Mateus (CoRR, 2020)

Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET. - Maël Millardet; Saïd Moussaoui; Diana Mateus; Jérôme Idier; Thomas Carlier (IEEE Trans. Medical Imaging, 2020)

Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation. - Guillaume Pelluet; Mira Rizkallah; Oscar Acosta; Diana Mateus (BrainLes@MICCAI (1), 2021)

OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation. - Dawood Al Chanti; Diana Mateus (MICCAI (3), 2021)

Trainable Summarization to Improve Breast Tomosynthesis Classification. - Mickael Tardy; Diana Mateus (MICCAI (7), 2021)

Low-count PET image reconstruction with Bayesian inference over a Deep Prior. - Hernan Carrillo; Maël Millardet; Thomas Carlier; Diana Mateus (Image Processing, 2021)

IJCARS: MICCAI 2020 special issue. - Anne L. Martel; Danail Stoyanov; Diana Mateus; Leo Joskowicz; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2021)

Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation. - Dawood Al Chanti; Diana Mateus (CoRR, 2021)

3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching. - Avinash Sharma 001; Radu Horaud; Diana Mateus (CoRR, 2021)

Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. - Constance Fourcade; Ludovic Ferrer; Noémie Moreau; Gianmarco Santini; Aishlinn Brennan; Caroline Rousseau; Marie Lacombe; Vincent Fleury; Mathilde Colombié; Pascal Jézéquel; Mario Campone; Mathieu Rubeaux; et al. (CoRR, 2021)

IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound. - Dawood Al Chanti; Vanessa Gonzalez Duque; Marion Crouzier; Antoine Nordez; Lilian Lacourpaille; Diana Mateus (IEEE Trans. Medical Imaging, 2021)

Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction. - Mickael Tardy; Diana Mateus (IEEE Trans. Medical Imaging, 2021)

Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection. - Guillaume Pelluet; Mira Rizkallah; Mickael Tardy; Oscar Acosta; Diana Mateus (MIUA, 2022)

Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty. - Amelia Jiménez-Sánchez; Diana Mateus; Sonja Kirchhoff; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Miguel Ángel González Ballester; Gemma Piella (Medical Image Anal., 2022)

Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients. - Aswathi Aswathi; Mira Rizkallah; Gauthier Frecon; Clément Bailly; Caroline Bodet-Milin; Olivier Casasnovas; Steven Le Gouill; Françoise Kraeber-Bodéré; Thomas Carlier; Diana Mateus (ISBI, 2023)

Can Ultrasound Confidence Maps Predict Sonographers' Labeling Variability? - Vanessa Gonzalez Duque; Leonhard Zirus; Yordanka Velikova; Nassir Navab; Diana Mateus (ASMUS@MICCAI, 2023)

Muscle Volume Quantification: Guiding Transformers with Anatomical Priors. - Louise Piecuch; Vanessa Gonzales Duque; Aurélie Sarcher; Enzo Hollville; Antoine Nordez; Giuseppe Rabita; Gaël Guilhem; Diana Mateus (ShapeMI@MICCAI, 2023)

Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. - Oriane Thiery; Mira Rizkallah; Clément Bailly; Caroline Bodet-Milin; Emmanuel Itti; René-Olivier Casasnovas; Steven Le Gouill; Thomas Carlier; Diana Mateus (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. - Yuxin Zhang; Clément Huneau; Jérôme Idier; Diana Mateus (DGM4MICCAI, 2023)

Muscle volume quantification: guiding transformers with anatomical priors. - Louise Piecuch; Vanessa Gonzalez Duque; Aurélie Sarcher; Enzo Hollville; Antoine Nordez; Giuseppe Rabita; Gaël Guilhem; Diana Mateus (CoRR, 2023)

Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty. - Yuxin Zhang; Clément Huneau; Jérôme Idier; Diana Mateus (CoRR, 2023)

Memory-aware curriculum federated learning for breast cancer classification. - Amelia Jiménez-Sánchez; Mickael Tardy; Miguel Ángel González Ballester; Diana Mateus; Gemma Piella (Comput. Methods Programs Biomed., 2023)

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction. - Younes Moussaoui; Diana Mateus; Saïd Moussaoui; Thomas Carlier; Simon Stute (EMBC, 2024)

Ultrasound Imaging Based on the Variance of a Diffusion Restoration Model. - Yuxin Zhang; Clément Huneau; Jérôme Idier; Diana Mateus (EUSIPCO, 2024)

Preface for International Conference on Medical Imaging with Deep Learning 2024. - Ninon Burgos; Caroline Petitjean; Maria Vakalopoulou; Stergios Christodoulidis; Pierrick Coupé; Hervé Delingette; Carole Lartizien; Diana Mateus (MIDL, 2024)

Ultrasound Confidence Maps with Neural Implicit Representation. - Vahit Bugra Yesilkaynak; Vanessa Gonzalez Duque; Magdalena Wysocki; Yordanka Velikova; Diana Mateus; Nassir Navab (MIUA (2), 2024)

Compact Implicit Neural Representations for Plane Wave Images. - Mathilde Monvoisin; Yuxin Zhang; Diana Mateus (CoRR, 2024)

Ultrasound Image Enhancement with the Variance of Diffusion Models. - Yuxin Zhang; Clément Huneau; Jérôme Idier; Diana Mateus (CoRR, 2024)

Ultrasound segmentation analysis via distinct and completed anatomical borders. - Vanessa Gonzalez Duque; Alexandra Marquardt; Yordanka Velikova; Lilian Lacourpaille; Antoine Nordez; Marion Crouzier; Hong Joo Lee 001; Diana Mateus; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2024)

Ultrasound Nerve Segmentation with Deep Learning for Leprosy. - Jonas R. Jostan; Laura M. Rodriguez; Diego Zarate Bernal; Juan O. Berdugo; Vicente Aljure; Fernando Lopez; Jahayra R. Lopez; Nassir Navab; Diana Mateus; Vanessa Gonzalez Duque (ISBI, 2025)

Implicit Neural Representations for End-to-End PET Reconstruction. - Younes Moussaoui; Diana Mateus; Nasrin Taheri; Saïd Moussaoui; Thomas Carlier; Simon Stute (ISBI, 2025)

Unsupervised Anomaly Detection on Implicit Shape Representations for Sarcopenia Detection. - Louise Piecuch; Jeremie Huet; Antoine Frouin; Antoine Nordez; Anne-Sophie Boureau; Diana Mateus (ISBI, 2025)

PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction. - Oriane Thiery; Mira Rizkallah; Clément Bailly; Caroline Bodet-Milin; Emmanuel Itti; René-Olivier Casasnovas; Steven Le Gouill; Thomas Carlier; Diana Mateus (Comput. Medical Imaging Graph., 2025)