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ORCIDOlivier Pauly
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2010 – 2019
- 2019
[c24]Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh:
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection. ICCV Workshops 2019: 2787-2796- [c23]Cosmin I. Bercea
, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu:
SHAMANN: Shared Memory Augmented Neural Networks. IPMI 2019: 830-841 - [i2]Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh:
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection. CoRR abs/1902.09967 (2019) - 2018
- [c22]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. MICCAI (2) 2018: 851-858 - 2017
- [i1]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. CoRR abs/1711.08580 (2017) - 2016
- [c21]Nicolas Brieu, Olivier Pauly, Johannes Zimmermann, Gerd Karl Binnig, Günter Schmidt:
Slide-specific models for segmentation of differently stained digital histopathology whole slide images. Medical Imaging: Image Processing 2016: 978410 - 2015
- [j2]Olivier Pauly, Benoit Diotte, Pascal Fallavollita, Simon Weidert, Ekkehard Euler, Nassir Navab:
Machine learning-based augmented reality for improved surgical scene understanding. Comput. Medical Imaging Graph. 41: 55-60 (2015) - [c20]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
- [c19]Olivier Pauly, Benoit Diotte, Séverine Habert, Simon Weidert, Ekkehard Euler, Pascal Fallavollita, Nassir Navab:
Relevance-Based Visualization to Improve Surgeon Perception. IPCAI 2014: 178-185 - 2013
- [c18]Christian Rupprecht, Olivier Pauly, Christian Theobalt, Slobodan Ilic:
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. 3DV 2013: 255-262 - [c17]Joé Lallemand, Olivier Pauly, Loren Arthur Schwarz, David Joseph Tan, Slobodan Ilic:
Multi-task Forest for Human Pose Estimation in Depth Images. 3DV 2013: 271-278 - [c16]Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab:
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) 2013: 230-237 - [c15]Okan Erat, Olivier Pauly, Simon Weidert, Peter-Helmut Thaller, Ekkehard Euler, Wolf Mutschler, Nassir Navab, Pascal Fallavollita:
How a surgeon becomes superman by visualization of intelligently fused multi-modalities. Medical Imaging: Image-Guided Procedures 2013: 86710L - 2012
- [b1]Olivier Pauly:
Random Forests for Medical Applications. Technical University Munich, 2012, pp. 1-190 - [c14]Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi:
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. ECCV (4) 2012: 870-881 - [c13]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 - [c12]Olivier Pauly, Amin Katouzian, Abouzar Eslami, Pascal Fallavollita, Nassir Navab:
Supervised classification for customized intraoperative augmented reality visualization. ISMAR 2012: 311-312 - [c11]Loïc Peter, Olivier Pauly, Sjoert B. G. Jansen, Peter A. Smethurst, Willem H. Ouwehand, Nassir Navab:
Automatic Event Detection within Thrombus Formation Based on Integer Programming. MCV 2012: 215-224 - [c10]Olivier Pauly, Seyed-Ahmad Ahmadi, Annika Plate, Kai Boetzel, Nassir Navab:
Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease. MICCAI (3) 2012: 443-450 - 2011
- [c9]Olivier Pauly, Diana Mateus, Nassir Navab:
STARS: A new ensemble partitioning approach. ICCV Workshops 2011: 1340-1347 - [c8]Olivier Pauly, Diana Mateus, Nassir Navab:
Building Implicit Dictionaries Based on Extreme Random Clustering for Modality Recognition. MCBR-CDS 2011: 47-57 - [c7]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 - [c6]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 - 2010
- [j1]Lorena Esposito, T. Saam, Peter Heider, Angelina Bockelbrink, Jaroslav Pelisek, D. Sepp, Regina Feurer, Claudia Winkler, Thomas Liebig, Katrin Holzer, Olivier Pauly, Suwad Sadikovic, Bernhard Hemmer, Holger Poppert:
MRI plaque imaging reveals high-risk carotid plaques especially in diabetic patients irrespective of the degree of stenosis. BMC Medical Imaging 10: 27 (2010) - [c5]Olivier Pauly, Diana Mateus, Nassir Navab:
ImageCLEF 2010 Working Notes on the Modality Classification Subtask. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c4]Olivier Pauly, Tim Hauke Heibel, Nassir Navab:
A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences. MICCAI (3) 2010: 343-350
2000 – 2009
- 2009
- [c3]Olivier Pauly, Nicolas Padoy, Holger Poppert, Lorena Esposito, Nassir Navab:
Wavelet energy map: A robust support for multi-modal registration of medical images. CVPR 2009: 2184-2191 - [c2]Arash Taki, Alireza Roodaki, Olivier Pauly, Seyed Kamaledin Setarehdan, Gozde B. Unal, Nassir Navab:
A New Method for Characterization of Coronary Plaque Composition Via Ivus Images. ISBI 2009: 787-790 - 2008
- [c1]Olivier Pauly, Gözde B. Ünal, Gregory G. Slabaugh, Stephane G. Carlier, Tong Fang:
Semi-automatic matching of OCT and IVUS images for image fusion. Medical Imaging: Image Processing 2008: 69142N
Coauthor Index
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