|6 July 2018, MI 03.13.010|
Invited Talk by Prof. William (Sandy) Wells
Segmentation is a fundamental task for extracting semantically meaningful regions from an image. The goal of segmentation algorithms is to accurately assign object labels to each image location. However, image-noise, shortcomings of algorithms, and image ambiguities cause uncertainty in label assignment. Estimating the uncertainty in label assignment is important in multiple application domains, such as segmenting tumors from medical images for radiation treatment planning. One way to estimate these uncertainties is through the computation of posteriors of Bayesian models, which is computationally prohibitive for many practical applications. On the other hand, most computationally efficient methods fail to estimate label uncertainty. [...]
|5 July 2018, MI 01.11.018|
PhD Defense by Sailesh Conjeti
The task of similarity search refers to fetching an item that is closest to the query item from a reference database under the notion of some distance measure. In critical applications of large-scale search and pattern matching, exhaustive comparison is often not possible due to prohibitive computational complexity and memory overheads. Towards mitigating this, hashing has been adopted as a popular approach for performing computationally efficient approximate nearest neighbor search. [...]
|27 April 2018, |
CAMP@TUM offers 4 International Undergraduate Excellence Awards in 2018: to the best international undergraduate applicants
The Chair for Computer Aided Medical Procedures (CAMP) would like to offer 4 research awards to strongly motivated international undergraduate students interested in improving their research skills in machine learning, medical imaging, computer vision and/or augmented reality. The students are required to pursue their undergraduate studies outside Germany. The first two awards amount to 4500 Euros and the second two awards to 4000 Euros. These awards will provide financial support for the awardees during their research stay at CAMP for a period of up to three months between June 2018 and October 2019.
|19 March 2018, |
Medvis / Karl-Heinz-Höhne Award 2018 to Markus Rempfler
The Medvis / Karl-Heinz-Höhne Award 2018 has been awarded to Markus Rempfler. The Medvis Karl-Heinz Höhne Award has been established in 2004 by the 'Gesellschaft für Informatik' (GI) working group on Visual Computing in Medicine and Biology. It is awarded bi-annually to a young scientist for outstanding work on image analysis, visualization and interaction in the field of image-based diagnostics and therapy in biology and medicine.
|8 February 2018, MI 00.12.019|
PhD Defense by Fausto Milletari
Object detection, segmentation and visual tracking are extremely important problems in both computer vision and medical image analysis. Most of the recent scientific efforts focused on proposing machine learning based approaches that can tackle and solve these problems appropriately. Methods that are based on handcrafted features, the so called shallow approaches, have been widely used and explored until very recently and were often employing machine learning algorithms such as boosting, support vector machines, random forests coupled with a careful choice of manually engineered features which were designed in a specific manner for each task. [...]
|14 December 2017, |
Our Deep Learning papers were featured in Biomedical Computation Review
Our Deep Learning papers were featured in the %_Q_%Deep Learning and the Future of Biomedical Image Analysis%_Q_% article published in the Biomedical Computation Review (BCR).