NewsAwardsMICCAI2018

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

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CAMP Awards at MICCAI 2018

Once again our students made the difference!

Bastien Bier received the Young Investigator Award for his research work at CAMP Lab in JHU: Bastian Bier, Mathias Unberath, Jan-Nico Zaech, 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) This is the forth consecutive year in which students from CAMP receive the Young Investigator Award.

Abhijit Guha Roy received the student travel award and gave a fantastic oral presentation of his work.

Fernando Navarro was also granted the student travel award.

Dr. Shadi Albarqouni was one of the 26 reviewers to be honored with a reviewer commendation.

Last, but certainly not least, Gerome Vivar received the best paper award in the 2nd Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL).

Award GRAIL AbhijitGuhaRoyOral

The awarded papers

2020
G. Vivar, , A. Zwergal, N. Navab, A. Ahmadi
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020 (bib)
G. Vivar, A. Kazi, H. Burwinkel, A. Zwergal, N. Navab, A. Ahmadi
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
The original version is available online at arXiv. (bib)
2019
A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, B. Wiestler, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
Graph convolution based attention model for personalized disease prediction
22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib)
H. Burwinkel, A. Kazi, G. Vivar, S. Albarqouni, G. Zahnd, N. Navab, A. Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, 2019 (pre-print version is available online at arXiv) (bib)
A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
InceptionGCN : Receptive Field Aware Graph Convolutional Network for Disease Prediction (Oral)
Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), Hong Kong, 2019 (bib)
G. Vivar, H. Burwinkel, A. Kazi, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
The original version is available online at arXiv. (bib)
2018
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)

Guha Roy, A., Navab, N. and Wachinger, C. (2018). Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. In Med. Image Comput., Comp. Assist. Interv. (MICCAI), 2018. (Oral Presentation, Top 4% of submissions)

Navarro, F., Conjeti, S., Tombari, F. and Navab, N. (2018, March). Webly Supervised Learning for Skin Lesion Classification. In Med. Image Comput., Comp. Assist. Interv. (MICCAI), 2018.


WebEventForm
Title: CAMP Awards at MICCAI 2018
Date: 16 September 2018
Location: Granada, Spain
Abstract:  
Imageurl: miccai_logo.jpg
Type: Award
Videourl:  
Conferencelink:  


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