CAMP Awards at MICCAI 2018
Once again our students made the difference!
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.
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).
The awarded papers
||A. Kazi, , , H. Burwinkel, G. Vivar, , A. Ahmadi, S. Albarqouni, N. Navab
InceptionGCN : Receptive Field Aware Graph Convolutional Network for Disease Prediction
Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), Hong Kong.
||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.
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.