Schedule
Workshop Date: September 16th 2018, Saray Hotel-Sala de los Reyes Salon 3
3:00 - 3:05 pm Introduction
3:05 - 3:50 pm Keynote by Georg Langs, Medical University of Vienna, Austria
3:50 - 4:30 pm Oral Session 1
1. Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response; Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham Wu, James Mechalakos, Joseph Deasy, Wei Lu
2. Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-weighted Magnetic Resonance (MR) Images; Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Demenic Soligo, Ruth Oilver, Michael Barnett, Ché Fornusek
4:30 - 5:00 pm Coffee Break
5:00 - 5:30 pm Invited Talk by Jessica Taaffe, TB Portals Program, National Institutes of Health, USA
5:30 - 6:30 pm Oral Session 2
3. Detecting Bone Lesions in Multiple Myeloma Patients using Transfer Learning; Matthias Perkonigg, Johannes Hofmanninger, Bjoern Menze, Marc-André Weber, Georg Langs
4. DeepCS: Deep Convolutional Neural Network and SVM based Single Image Super-Resolution; Jebaveerasignh Jebadurai, Dinesh Peter
5. Optimizing external surface sensor locations for respiratory tumor motion prediction; Yusuf Ötzbek, Zoltan Bardosi, Wolfgang Freysinger, Srdjan Milosavljevic
6:30 - 7:00 pm Closing and Best Paper Award
DATRA 2018 Keynote Talk
Georg Langs
Dr. Georg Langs studied Mathematics at Vienna University of Technology, and finished his PhD in Computer Vision at Vienna University of Technology and Graz University of Technology in 2007. He worked as a post-doctoral associate at the Applied Mathematics and Systems Laboratory at Ecole Centrale de Paris, and the GALEN Group at INRIA-Saclay, Ile de France with Nikos Paragios from 2007 to 2008. He was a research scientist at Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology from 2009 to 2011, and joined the faculty of Medical University of Vienna in 2011. He taught computer vision and medical imaging courses at Ecole Centrale de Paris, and teaches at Vienna University of Technology. He is reviewer of several conferences and journals, among them IEEE Transactions on Pattern Recognition and Machine Intelligence, and IEEE Transactions on Medical Imaging. Georg Langs is the head of the Computational Imaging Research Lab (CIR) at the Medical University of Vienna. His research interests mainly lie in the field of neuroimaging, machine learning and medical image analysis, in particular, functional brain imaging, perception and reorganization, autonomous model learning and large scale image retrieval.
DATRA 2018 Invited Talk
Jessica Taafee
The TB Portals Program: Data sharing and advanced analysis of tuberculosis patient data and images to improve diagnostics and treatment
The TB Portals Program is a multi-national, inter-disciplinary collaboration to advance tuberculosis (TB) research through data sharing and analysis. The Program has collected clinical, imaging, and genomic data from over 2000 TB patient cases, including 1900 chest X-rays and 1300 CT scans, which are publicly made available to through the TB Portals. In collaboration with leading medical imaging experts, the Program is developing visualization and analysis tools for both researchers and clinicians, such as computerized detection and annotation of TB lesions on CT scans, image-based TB severity scoring, and TB classification. Through these efforts, the Program hopes to generate knowledge that can be used to improve TB diagnostics and treatment.
