DeepLearningActivities

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Deep Learning Activities

List of Publications

2018
C. Rupprecht, I. Laina, N. Navab, G. D. Hager, F. Tombari
Guide Me: Interacting with Deep Networks
Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018.
Spotlight. The first two authors contribute equally to this paper.
(bib)
G. Vivar, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion.
Proceedings of MICCAI Workshop on Graphs in Biomedical Image Analysis, Granada, Spain, September 2018. (bib)
, , J. Lee, , J. Fotouhi, , N. Navab
DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 98 - 106, 2018.
The first two authors are joint first authors.
(bib)
, , , J. Fotouhi, , G. Osgood, N. Navab, A. Maier
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 55 - 63, 2018.
The first two authors are joint first authors.
(bib)
M. Molina-Romero, B. Wiestler, PA. Gómez, MI. Menzel, B. Menze
Deep learning with synthetic diffusion MRI data for free-water elimination in glioblastoma cases
Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, September 2018 (bib)
M. Degel, N. Navab, S. Albarqouni
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound
Proceedings of 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018
A pre-print version is available online at arXiv.
(bib)
A. Sanchez, S. Albarqouni, D. Mateus
Capsule Networks against Medical Imaging Data Challenges
Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Granada, Spain, September 2018
A pre-print version is available online at arXiv.
(bib)
F. Manhardt, W. Kehl, N. Navab, F. Tombari
Deep Model-Based 6D Pose Refinement in RGB
European Conference On Computer Vision (ECCV), Munich, Germany, September 2018 [oral].
The first two authors contributed equally to this paper.
(bib)
T. Hodan, F. Michel, E. Brachmann, W. Kehl, A. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T.K. Kim, J. Matas, C. Rother
BOP: Benchmark for 6D Object Pose Estimation
European Conference On Computer Vision (ECCV), Munich, Germany, September 2018. (bib)
M. Bui, S. Albarqouni, S. Ilic, N. Navab
Scene Coordinate and Correspondence Learning for Image-Based Localization
Proceedings of the British Machine Vision Conference, 3-6 September, 2018, Newcastle (Oral presentation) (bib)
C. Baur, B. Wiestler, S. Albarqouni, N. Navab
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Accepted to the Proceedings of the Brain Lesion Workshop at the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018
A pre-print version is available online at arXiv.
(bib)
M. Bui, S. Zakharov, S. Albarqouni, S. Ilic, N. Navab
When Regression meets Manifold Learning for Object Recognition and Pose Estimation
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 21-25 May, 2018, Brisbane, Australia (bib)
G. Ghazaei, I. Laina, C. Rupprecht, F. Tombari, N. Navab, K. Nazarpour
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
Asian Conference on Computer Vision and Pattern Recognition (ACCV), Perth, Australia, December 2018. (bib)
M. T. Shaban, C. Baur, N. Navab, S. Albarqouni
StainGAN: Stain Style Transfer for Digital Histological Images
Submitted to the 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018
A pre-print version is available online at arXiv.
(bib)
F. Manhardt, D. Arroyo, C. Rupprecht, B. Busam, N. Navab, F. Tombari
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
Arxiv preprint 1812.00287 (bib)
2017
C. Rupprecht, I. Laina, R. DiPietro, M. Baust, F. Tombari, N. Navab, G. D. Hager
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 2017 (bib)
I. Laina, N. Rieke, C. Rupprecht, J. Page Vizcaino, A. Eslami, F. Tombari, N. Navab
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017.
A pre-print version is available online at arXiv.
The first two authors contribute equally to this paper.
(bib)
A. Kazi, S. Albarqouni, A. Sanchez, C. Kirchhoff, P. Biberthaler, N. Navab, D. Mateus
Automatic Classification of Proximal Femur Fractures based on Attention Models
Proceedings of MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, September 2017 (bib)
S. Albarqouni, J. Fotouhi, N. Navab
X-ray In-Depth Decomposition: Revealing The Latent Structures
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017
A pre-print version is available online at arXiv.
(bib)
M. Bui, S. Albarqouni, M. Schrapp, N. Navab, S. Ilic
X-ray PoseNet: 6 DoF Pose Estimation for Mobile X-ray Devices
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 24, 2017 - Mar 31, 2017, Santa Rosa, USA
The first two authors contribute equally to this paper.
(bib)
C. Baur, S. Albarqouni, N. Navab
Semi-Supervised Learning for Fully Convolutional Networks
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017
A pre-print version is available online at arXiv.
The first two authors contribute equally to this paper.
(bib)
2016
W. Kehl, F. Milletari, F. Tombari, S. Ilic, N. Navab
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
European Conference On Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016 (bib)
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab
Deeper Depth Prediction with Fully Convolutional Residual Networks
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016.
Oral presentation. The first two authors contribute equally to this paper.
(bib)
S. Albarqouni, S. Matl, M. Baust, N. Navab, S. Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research
Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Athens, Greece, October 2016
The first two authors contribute equally to this paper.
(bib)
P. Christ, M.E.A. Elshaer, F. Ettlinger, S. Tatavarty, M. Bickel, P. Bilic, M. Rempfler, M. Armbruster, M. Hofmann, M. D'Anastasi, W.H. Sommer, A. Ahmadi, B. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
C. Rupprecht, C. Lea, F. Tombari, N. Navab, G. D. Hager
Sensor Substitution for Video-based Action Recognition
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, October 2016 (bib)
C. Baur, S. Albarqouni, S. Demirci, N. Navab, P. Fallavollita
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes
7th International Conference on Medical Imaging and Augmented Reality (MIAR), 24-26 August, 2016, Bern, Switzerland. (Best Paper Award) (bib)
F. Grün, C. Rupprecht, N. Navab, F. Tombari
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
International Conference on Machine Learning (ICML) Workshop on Visualization for Deep Learning, New York, USA, June 23rd, 2016 (bib)
F. Milletari, N. Navab, A. Ahmadi
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016, arXiv:1606.04797 (bib)
S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images
IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016.
The first two authors contribute equally to this paper.
(bib)
F. Milletari, A. Ahmadi, C. Kroll, A. Plate, , , , , , K. Bötzel, N. Navab
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
arXiv:1601.07014 preprint (bib)
2015
V. Belagiannis, C. Rupprecht, G. Carneiro, N. Navab
Robust Optimization for Deep Regression
International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (supplementary mat.) (bib)

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