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ORCIDDiana Mateus
Diana Carolina Mateus Lamus
Person information
- affiliation: Ecole Centrale de Nantes, LS2N Lab, France
- affiliation (former): TU Munich, Computer Aided Medical Procedures, Germany
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2020 – today
- 2024
[j17]Vanessa Gonzalez Duque
, Alexandra Marquardt, Yordanka Velikova, Lilian Lacourpaille, Antoine Nordez, Marion Crouzier, Hong Joo Lee, Diana Mateus, Nassir Navab:
Ultrasound segmentation analysis via distinct and completed anatomical borders. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1419-1427 (2024)- [c61]Vahit Bugra Yesilkaynak, Vanessa Gonzalez Duque, Magdalena Wysocki, Yordanka Velikova, Diana Mateus, Nassir Navab:
Ultrasound Confidence Maps with Neural Implicit Representation. MIUA (2) 2024: 89-100 - [i21]Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Ultrasound Imaging based on the Variance of a Diffusion Restoration Model. CoRR abs/2403.15316 (2024) - 2023
- [j16]Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella:
Memory-aware curriculum federated learning for breast cancer classification. Comput. Methods Programs Biomed. 229: 107318 (2023) - [c60]Aswathi Aswathi, Mira Rizkallah, Gauthier Frecon, Clément Bailly, Caroline Bodet-Milin, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber-Bodéré, Thomas Carlier, Diana Mateus:
Lesion Graph Neural Networks for 2-Year Progression Free Survival Classification of Diffuse Large B-Cell Lymphoma Patients. ISBI 2023: 1-5 - [c59]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 103-112 - [c58]Louise Piecuch, Vanessa Gonzales Duque, Aurélie Sarcher, Enzo Hollville, Antoine Nordez, Giuseppe Rabita, Gaël Guilhem, Diana Mateus:
Muscle Volume Quantification: Guiding Transformers with Anatomical Priors. ShapeMI@MICCAI 2023: 173-187 - [c57]Vanessa Gonzalez Duque, Leonhard Zirus, Yordanka Velikova, Nassir Navab, Diana Mateus:
Can Ultrasound Confidence Maps Predict Sonographers' Labeling Variability? ASMUS@MICCAI 2023: 175-184 - [c56]Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. DGM4MICCAI 2023: 193-203 - [i20]Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models. CoRR abs/2307.15990 (2023) - [i19]Vanessa Gonzalez Duque, Leonhard Zirus, Yordanka Velikova, Nassir Navab, Diana Mateus:
Can ultrasound confidence maps predict sonographers' labeling variability? CoRR abs/2308.09433 (2023) - [i18]Oriane Thiery, Mira Rizkallah, Clément Bailly, Caroline Bodet-Milin, Emmanuel Itti, René-Olivier Casasnovas, Steven Le Gouill, Thomas Carlier, Diana Mateus:
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images. CoRR abs/2310.16863 (2023) - [i17]Louise Piecuch, Vanessa Gonzalez Duque, Aurélie Sarcher, Enzo Hollville, Antoine Nordez, Giuseppe Rabita, Gaël Guilhem, Diana Mateus:
Muscle volume quantification: guiding transformers with anatomical priors. CoRR abs/2310.20355 (2023) - [i16]Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty. CoRR abs/2310.20618 (2023) - 2022
- [j15]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty. Medical Image Anal. 75: 102273 (2022) - [c55]Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus:
Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection. MIUA 2022: 636-650 - 2021
- [j14]Anne L. Martel, Danail Stoyanov, Diana Mateus, Leo Joskowicz, Purang Abolmaesumi:
IJCARS: MICCAI 2020 special issue. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1639 (2021) - [j13]Dawood Al Chanti, Vanessa Gonzalez Duque, Marion Crouzier, Antoine Nordez, Lilian Lacourpaille, Diana Mateus:
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound. IEEE Trans. Medical Imaging 40(10): 2615-2628 (2021) - [j12]Mickael Tardy, Diana Mateus:
Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction. IEEE Trans. Medical Imaging 40(10): 2711-2722 (2021) - [c54]Guillaume Pelluet, Mira Rizkallah, Oscar Acosta, Diana Mateus:
Unsupervised Multimodal Supervoxel Merging Towards Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 88-99 - [c53]Mickael Tardy, Diana Mateus:
Trainable Summarization to Improve Breast Tomosynthesis Classification. MICCAI (7) 2021: 140-149 - [c52]Dawood Al Chanti, Diana Mateus:
OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation. MICCAI (3) 2021: 261-271 - [c51]Hernan Carrillo, Maël Millardet, Thomas Carlier, Diana Mateus:
Low-count PET image reconstruction with Bayesian inference over a Deep Prior. Medical Imaging: Image Processing 2021 - [i15]Dawood Al Chanti, Diana Mateus:
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation. CoRR abs/2106.08188 (2021) - [i14]Avinash Sharma, Radu Horaud, Diana Mateus:
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching. CoRR abs/2106.11166 (2021) - [i13]Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella:
Memory-aware curriculum federated learning for breast cancer classification. CoRR abs/2107.02504 (2021) - [i12]Constance Fourcade, Ludovic Ferrer, Noémie Moreau, Gianmarco Santini, Aishlinn Brennan, Caroline Rousseau, Marie Lacombe, Vincent Fleury, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Diana Mateus:
Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. CoRR abs/2111.11873 (2021) - 2020
- [j11]Ludivine Morvan, Thomas Carlier, Bastien Jamet, Clément Bailly, Caroline Bodet-Milin, Philippe Moreau, Françoise Kraeber-Bodéré, Diana Mateus:
Leveraging RSF and PET images for prognosis of multiple myeloma at diagnosis. Int. J. Comput. Assist. Radiol. Surg. 15(1): 129-139 (2020) - [j10]Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus:
Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. 15(5): 847-857 (2020) - [j9]Maël Millardet, Saïd Moussaoui, Diana Mateus, Jérôme Idier, Thomas Carlier:
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET. IEEE Trans. Medical Imaging 39(11): 3725-3736 (2020) - [c50]Constance Fourcade, Ludovic Ferrer, Gianmarco Santini, Noémie Moreau, Caroline Rousseau, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Mario Campone, Diana Mateus, Mathieu Rubeaux:
Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*. EMBC 2020: 1536-1539 - [c49]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c48]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, Diana Mateus:
Learned Deep Radiomics for Survival Analysis with Attention. PRIME@MICCAI 2020: 35-45 - [c47]Constance Fourcade, Mathieu Rubeaux, Diana Mateus:
Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg Challenge. MICCAI (Challenges) 2020: 100-105 - [c46]Vanessa Gonzalez Duque, Dawood Al Chanti, Marion Crouzier, Antoine Nordez, Lilian Lacourpaille, Diana Mateus:
Spatio-Temporal Consistency and Negative Label Transfer for 3D Freehand US Segmentation. MICCAI (1) 2020: 710-720 - [e12]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12261, Springer 2020, ISBN 978-3-030-59709-2 [contents] - [e11]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12262, Springer 2020, ISBN 978-3-030-59712-2 [contents] - [e10]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12263, Springer 2020, ISBN 978-3-030-59715-3 [contents] - [e9]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12264, Springer 2020, ISBN 978-3-030-59718-4 [contents] - [e8]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12265, Springer 2020, ISBN 978-3-030-59721-4 [contents] - [e7]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12266, Springer 2020, ISBN 978-3-030-59724-5 [contents] - [e6]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12267, Springer 2020, ISBN 978-3-030-59727-6 [contents] - [e5]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i11]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Medical-based Deep Curriculum Learning for Improved Fracture Classification. CoRR abs/2004.00482 (2020) - [i10]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty. CoRR abs/2007.16102 (2020) - [i9]Dawood Al Chanti, Vanessa Gonzalez Duque, Marion Crouzier, Antoine Nordez, Lilian Lacourpaille, Diana Mateus:
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscles Segmentation and Propagation in 3-D Freehand Ultrasound. CoRR abs/2011.13246 (2020) - [i8]Mickael Tardy, Diana Mateus:
Lightweight U-Net for High-Resolution Breast Imaging. CoRR abs/2011.13698 (2020) - [i7]Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration. CoRR abs/2012.07340 (2020)
2010 – 2019
- 2019
- [c45]Mickael Tardy, Bruno Scheffer, Diana Mateus:
Breast Density Quantification Using Weakly Annotated Dataset. ISBI 2019: 1087-1091 - [c44]Mickael Tardy, Bruno Scheffer, Diana Mateus:
Uncertainty Measurements for the Reliable Classification of Mammograms. MICCAI (6) 2019: 495-503 - [c43]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Medical-based Deep Curriculum Learning for Improved Fracture Classification. MICCAI (6) 2019: 694-702 - [e4]Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7 [contents] - [i6]Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff:
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR abs/1902.01338 (2019) - 2018
- [c42]Leslie Casas, Chris Mürwald, Felix Achilles, Diana Mateus, Dietrich Huber, Nassir Navab, Stefanie Demirci:
Human Pose Estimation from Pressure Sensor Data. Bildverarbeitung für die Medizin 2018: 285-290 - [c41]Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus:
Capsule Networks Against Medical Imaging Data Challenges. CVII-STENT/LABELS@MICCAI 2018: 150-160 - [e3]Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin:
Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11043, Springer 2018, ISBN 978-3-030-01363-9 [contents] - [i5]Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus:
Capsule Networks against Medical Imaging Data Challenges. CoRR abs/1807.07559 (2018) - [i4]Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab:
Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR abs/1809.10692 (2018) - [i3]Rüdiger Göbl, Diana Mateus, Christoph Hennersperger, Maximilian Baust, Nassir Navab:
Redefining Ultrasound Compounding: Computational Sonography. CoRR abs/1811.01534 (2018) - 2017
- [j8]Loïc Peter, Diana Mateus, Pierre Chatelain, Denis Declara, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab:
Assisting the examination of large histopathological slides with adaptive forests. Medical Image Anal. 35: 655-668 (2017) - [j7]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Guiding multimodal registration with learned optimization updates. Medical Image Anal. 41: 2-17 (2017) - [c40]Fernando J. Navarro-Avila, Yadira Saint-Hill-Febles, Janis Renner, Peter Klare, Stefan von Delius, Nassir Navab, Diana Mateus:
Computer assisted optical biopsy for colorectal polyps. Medical Imaging: Computer-Aided Diagnosis 2017: 101340J - [c39]Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus:
Automatic Classification of Proximal Femur Fractures Based on Attention Models. MLMI@MICCAI 2017: 70-78 - [e2]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - 2016
- [c38]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. MICCAI (3) 2016: 10-18 - [c37]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Learning Optimization Updates for Multimodal Registration. MICCAI (3) 2016: 19-27 - [e1]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - [i2]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. CoRR abs/1609.05396 (2016) - 2015
- [j6]Daniele Volpi, Mhd Hasan Sarhan, Reza Ghotbi, Nassir Navab, Diana Mateus, Stefanie Demirci:
Online tracking of interventional devices for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. 10(6): 773-781 (2015) - [j5]Fabio Cuzzolin, Diana Mateus, Radu Horaud:
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. Int. J. Comput. Vis. 112(1): 43-70 (2015) - [c36]Markus Zweng, Pascal Fallavollita, Stefanie Demirci, Markus Kowarschik, Nassir Navab, Diana Mateus:
Automatic Guide-Wire Detection for Neurointerventions Using Low-Rank Sparse Matrix Decomposition and Denoising. AE-CAI 2015: 114-123 - [c35]Christoph Hennersperger, Maximilian Baust, Diana Mateus, Nassir Navab:
Computational Sonography. MICCAI (2) 2015: 459-466 - [c34]Loïc Peter, Olivier Pauly, Pierre Chatelain, Diana Mateus, Nassir Navab:
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. MICCAI (1) 2015: 637-644 - 2014
- [j4]Victor Castañeda, Diana Mateus, Nassir Navab:
Stereo Time-of-Flight with Constructive Interference. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1402-1413 (2014) - [c33]Benjamín Gutiérrez, Diana Mateus, Ehab Shiban, Bernhard Meyer, Jens Lehmberg, Nassir Navab:
A sparse approach to build shape models with routine clinical data. ISBI 2014: 258-261 - [c32]Nicola Rieke, Christoph Hennersperger, Diana Mateus, Nassir Navab:
Ultrasound interactive segmentation with tensor-graph methods. ISBI 2014: 690-693 - [c31]Loïc Peter, Diana Mateus, Pierre Chatelain, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab:
Leveraging Random Forests for Interactive Exploration of Large Histological Images. MICCAI (1) 2014: 1-8 - [c30]Christoph Hennersperger, Diana Mateus, Maximilian Baust, Nassir Navab:
A Quadratic Energy Minimization Framework for Signal Loss Estimation from Arbitrarily Sampled Ultrasound Data. MICCAI (2) 2014: 373-380 - [i1]Fabio Cuzzolin, Diana Mateus, Radu Horaud:
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. CoRR abs/1405.6563 (2014) - 2012
- [j3]Loren Arthur Schwarz, Artashes Mkhitaryan, Diana Mateus, Nassir Navab:
Human skeleton tracking from depth data using geodesic distances and optical flow. Image Vis. Comput. 30(3): 217-226 (2012) - [j2]Loren Arthur Schwarz, Diana Mateus, Nassir Navab:
Recognizing multiple human activities and tracking full-body pose in unconstrained environments. Pattern Recognit. 45(1): 11-23 (2012) - [j1]Selen Atasoy, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab:
Endoscopic Video Manifolds for Targeted Optical Biopsy. IEEE Trans. Medical Imaging 31(3): 637-653 (2012) - [c29]Yuxiang Chen, Thomas Hrabe, Stefan Pfeffer, Olivier Pauly, Diana Mateus, Nassir Navab, Friedrich Förster:
Detection and identification of macromolecular complexes in cryo-electron tomograms using support vector machines. ISBI 2012: 1373-1376 - 2011
- [c28]Loren Arthur Schwarz, Artashes Mkhitaryan, Diana Mateus, Nassir Navab:
Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow. FG 2011: 700-706 - [c27]Victor Castañeda, Diana Mateus, Nassir Navab:
Stereo time-of-flight. ICCV 2011: 1684-1691 - [c26]Olivier Pauly, Diana Mateus, Nassir Navab:
STARS: A new ensemble partitioning approach. ICCV Workshops 2011: 1340-1347 - [c25]Asad Safi, Victor Castañeda, Tobias Lasser, Diana Mateus, Nassir Navab:
Manifold learning for dimensionality reduction and clustering of skin spectroscopy data. Medical Imaging: Computer-Aided Diagnosis 2011: 79631A - [c24]Olivier Pauly, Diana Mateus, Nassir Navab:
Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition. MCBR-CDS 2011: 47-57 - [c23]Selen Atasoy, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab:
Targeted Optical Biopsies for Surveillance Endoscopies. MICCAI (3) 2011: 83-90 - [c22]Asad Safi, Maximilian Baust, Olivier Pauly, Victor Castañeda, Tobias Lasser, Diana Mateus, Nassir Navab, Rüdiger Hein, Mahzad Ziai:
Computer-Aided Diagnosis of Pigmented Skin Dermoscopic Images. MCBR-CDS 2011: 105-115 - [c21]Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez-Möller, Stephan G. Nekolla, Nassir Navab:
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. MICCAI (3) 2011: 239-247 - [c20]Loren Arthur Schwarz, Diana Mateus, Joé Lallemand, Nassir Navab:
Tracking planes with Time of Flight cameras and J-linkage. WACV 2011: 664-671 - [c19]Victor Castañeda, Diana Mateus, Nassir Navab:
SLAM combining ToF and high-resolution cameras. WACV 2011: 672-678 - 2010
- [c18]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:
SHREC'10 Track: Correspondence Finding. 3DOR@Eurographics 2010: 87-91 - [c17]Selen Atasoy, Diana Mateus, Andreas Georgiou, Nassir Navab, Guang-Zhong Yang:
Wave Interference for Pattern Description. ACCV (2) 2010: 41-54 - [c16]Loren Arthur Schwarz, Diana Mateus, Nassir Navab:
Multiple-Activity Human Body Tracking in Unconstrained Environments. AMDO 2010: 192-202 - [c15]Loren Arthur Schwarz, Diana Mateus, Victor Castañeda, Nassir Navab:
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition. BMVC 2010: 1-11 - [c14]Olivier Pauly, Diana Mateus, Nassir Navab:
ImageCLEF 2010 Working Notes on the Modality Classification Subtask. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c13]Christian Wachinger, Diana Mateus, Andreas Keil, Nassir Navab:
Manifold learning for patient position detection in MRI. ISBI 2010: 1353-1356 - [c12]Selen Atasoy, Diana Mateus, Joé Lallemand, Alexander Meining, Guang-Zhong Yang, Nassir Navab:
Endoscopic Video Manifolds. MICCAI (2) 2010: 437-445
2000 – 2009
- 2009
- [b1]Diana Mateus:
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). Grenoble Institute of Technology, France, 2009 - [c11]Loren Arthur Schwarz, Diana Mateus, Nassir Navab:
Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data. 3DPH 2009: 159-172 - [c10]David Knossow, Avinash Sharma, Diana Mateus, Radu Horaud:
Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors. GbRPR 2009: 144-153 - [c9]